PASS Summit 2015 Keynote Live Blog – Day 2
Good morning! It’s almost time for the Day 2 keynote!
07.59
Good morning!
08.06
About to get started!
08.07
Dr. Stephen Levitt taking the stage!
08.09
Dear Presenters: please note that Dr. Levitt is NOT reading to us. :)
08.11
About 1 in 10 children reported on tax forms were fictional. Ended up causing the loss of billion in revenue for IRS.
08.13
In 1987, when the SSN of children was required on tax forms for deductions, 7 million children vanished from the face of the Earth.
08.14
What reasons do people have to innovate? Necessity. Business Pain. Lost Revenue.
08.15
Simplicity returns to the discussion. SSN on tax forms is obvious. But it wasn’t there until 1987.
08.16
Dr. Levitt: “Most people in Business don’t have time to think.” #ouch #TrueStory
08.17
“I spend 500 hours per year thinking about new ideas. It’s a great year when i get one.” ROI requires the I(nvestment).
08.19
Dr. Levitt studied things like Prostitution and Drug Cartels, things other economists wouldn’t touch. #innovate
08.22
When you see a stranger that clearly knows YOU, GATHER DATA. Turn it into insight. You might get lucky and remember them. :)
08.24
Dr. Levitt hated math. He is a noted economist, professor, and author. Path from A to B may not be a straight line.
08.26
Dr. Levitt: Sometimes clarity only comes from having the courage to ask the right question.
08.28
Incentive can lead someone who doesn’t like math to become an economist. How bad to you want your goals?
08.31
Dr. Levitt’s Dad: “I have not talent; you have not talent. Take on topics no self-respecting person would tackle.”
08.32
Dr. Levitt: If nobody is willing to defend a group of people, perhaps there are too many misconceptions about that group.
08.33
“If you have the choice between walking drunk and driving drunk, driving is far safer, at least according to the data.”
08.37
Following the Grateful Dead for 6 months can be an excellent primer for Grad School in Sociology? Think outside the classroom.
08.43
Dr Levitt telling about a Sociologist who stumbles into a Street Gang and how it made is career. #Innovation #TackleToughTopics
08.45
If you write down the organizational chart of a street gang, and removed the names, it could look just like corporate America.
08.47
The economics of street gangs amazingly similar to that of the “legitimate” business world. #ThinkAboutIt
08.48
Dr. Levitt: According to the data, It was 7 times more dangerous to sell crack in Chicago than it was being in combat in Iraq.
08.50
If you showed gang members the data, how many would still choose that life?
08.51
Are drug gangs a new, up-tapped market for Business Analytics? #TongueInCheek
08.52
Dr. Levitt: Business People LOVE to buy books. Don’t know if they read them….
08.54
Dear Presenters: Note how Dr. Levitt is making eye contact with people ALL OVER THE ROOM. #ConnectWithYourAudience
08.58
Dr. Levitt: Asking questions is worthless if you don’t correlate it with data to see what answers are correct.
08.59
Misconceptions can cripple you. Let the data speak, even when it might be difficult. #TrueStory
09.01
Dr. Levitt: Experimentation with data is vital. That’s where insights come from.
09.02
“Do you want the TRUTH?” How often to we find ourselves wanting to ask this of our clients/customers?
09.03
Dr. Levitt: “We got fired and all of our projects were cancelled. It was the best day our consulting company ever had.”
09.04
“Why in the world would you work for a company that when you tell them the TRUTH, they don’t want to hear it??”
09.04
Awesome: Dr. Levitt has opened the floor to questions.
09.06
Q: What kind of research are you doing now?
09.07
A: We have a “Parent Academy” and are teaching parents about things they can do to help their kids succeed.
09.09
Dr. Levitt: 5-10% of people we survey about tough decisions are swayed by a toss of a coin and actually take that action.
09.11
Dr. Levitt: Everybody and their brother is telling me I should use R right now.
09.12
Q: What kind of newly available data sets are you REALLY excited about?
09.13
A: Business data is FAR more interesting than Government data right now. Much more fun to be in the data generation business.
09.15
Dr. Levitt: Connect the data together and let people play with it. Sounds like using Excel for analytics.
09.16
Dr. Levitt: In shortest supply in Business is people who know how to think about data. #THIS
09.17
Dr. Levitt: “It turns out I am much better at telling funny stories than solving big problems.” Sometimes the data’s story leads you to ROI.
09.23
Dr. Levitt: Economists and Prostitutes have this in common – the word “Can’t” is not part of our vocabulary.
09.25
Dr: Levitt: “If you know a Prostitute, you send her my way. I guarantee I can affect her bottom line.”
09.26
That wraps up the Live Blogging for the conference. Thanks for following. And thanks to PASS for inviting me to participate.
09.53
Attendees are filing into the Dell Grand Ballroom.
09.55
I have to apologize to my fellow live bloggers for being so handsome and witty. I can’t help it.
10.02
Attendees continue to file in. We should be getting started in a few minutes.
10.05
Here we go, yo.
10.05
“Business Intelligence and Business Analytics are at the forefront of business today.” #Truth
10.06
PASS President Thomas LaRock taking the stage.
10.07
Tom: We get paid to work with data every day. How awesome is that? #Truth
10.08
Regardless of your title, if you work with Data, you are the lifeblood of your organization.
10.09
Tom: @sqlpass has over 100,000 members! Awesome!
10.10
Tom: Find a way to get involved with @sqlpass somehow. There are so many ways to get involved.
10.11
Tom: Pick up networking buttons at the Community Zone. Minimum count of “pieces of flair” is 31.
10.11
Make sure you spend some time with the sponsors. They make events like this possible. Woohoo!
10.12
Tom: Give the sponsors a hug. #Embracing
10.13
Tom: Next year’s PASS BA Conference will be in Santa Clara, CA
10.14
John Wittaker of Dell taking the stage: Big Data, Predictive, & The Middle Market
10.15
John: Big Data projects are not just for the enterprise
10.16
John: Not only is Big Data happening, but it is being invested in at the appropriate level
10.16
John: When IT and Business COLLABORATE, we are much more likely to have a successful outcome. #NoBrainer
10.18
John: “Real Time” and Predictive Analytics are the most valuable Big Data tools, according to Dell’s survey
10.18
John: Big Data Challenges = Complexity, Volume, and Budget
10.19
John: Data Complexity, though, is the major challenge today.
10.21
John: You will see vendors like Dell and others abstracting that complexity to make things easier.
10.24
John: Dell’s goal is to offer an end to end Information Management solution to manage, integrate, and protect data
10.25
Microsoft’s Amir Netz and Kamal Hathi taking the stage. This is going to be awesome!
10.26
Kamal: It’s been an amazing year of innovation at Microsoft: Power BI, Power Query, Power Map, HDInsight, SQL 2014…
10.27
Amir: We have a new CEO, Satya Nadella. Satya introduced SQL 2014. A CEO has never introduced SQL like that before.
10.28
Kamal: While I like Satya for a lot of reasons… Satya has made Indian accents “cool” now. #WellPlayed
10.29
Kamal: 2 million+ #PowerPivot downloads. 100 thousand + #PowerQuery downloads since Feb 2014
10.29
Kamla: Let’s ditch this Power Point and get over to #PowerBI and look at data the way we want to.
10.30
Kamal: #PowerBI Tennants by country in Q and A: It is all over the world. Way cool
10.31
Kamal: In Iceland, #PowerBI is kind of hot. #MyKindOfHumor
10.32
Kamal: Q&A has been a huge driver for #PowerBI adoption
10.33
Kamal: Over 1 million questions asked in Q&A in April 2014. Wow. Way cool.
10.34
Kamal is using Q&A in #PowerBI to learn about usage of Q&A in #PowerBI.
10.35
Kamal is doing #PowerView style data exploration directly in Q&A: “We made this feature more discoverable” #Awesomesauce
10.36
Amir: Power BI In Action discussing the #PowerIB Demo Contest. Winner: Michael Carper, who is taking the stage now.
10.37
Amir is walking through Michael’s contest entry about realtionship between Tweets and #NBA Game results
10.39
Amir could make watching paint dry sound exciting. Love his style.
10.40
Kamal now showing data by browser usage by using by #PowerIB in #Chrome #HTML5
10.41
Kamal: We’re doing this demo on a Samsung Chromebook. #HTML5 #PowerBI will just work on any platform
10.42
Amir: Native IOS app for #PowerBI will be available this summer.
10.43
Kamal: We want you to be able to take the investments you have already made on prem and use them in the Cloud #NotAllOrNothing
10.44
Amir: When was the last time you saw AdventureWorks in a keynote demo???
10.45
Amir: Reporting Services will become a natively integrated component of #PowerBI this Summer #ssrs Great News!
10.45
Kamal: The data exists in YOUR environment, but we can still render it with #SSRS in the cloud.
10.46
Kamal: In premise is still hugely important. We are working on bringing more of #PowerIB to on prem.
10.47
Kamal: YOUR BI ON YOUR TERMS. That is our promise to you. #LoveIt #MSBI
10.48
Amir: Today, we are on the verge of a new age. DATA CULTURE: Give the power to EVERYONE #BIToTheMasses
10.49
Amir: Data Culture is when everyone in an organization can use data
10.49
Amir: Aloha to a demo on Hawaii
10.50
Amir: Hawaii collects information forms from travelers on what they did in Hawaii just so we can have a cool demo today.
10.51
You guys, Q&A is just friggin cool. #NuffSaid
10.53
Amir: Moloka’i, known for it Leper Colony, is not the top of the list on most visited Hawaiian Islands. #TheMoreYouKnow
10.54
Amir analyzing when people from various nations visit Hawaii in Q&A directly. Not in #PowerView. IN Q&A.
10.55
Amir: Hawaii is the Niagara Falls for the Japanese.
10.56
Amir: You want a great investment? Invest in Honeymoon Suites for the Japanese in Hawaii. #ActionableInsight
10.57
Amir introducing KPIs in #PowerBI #AweYeah
10.58
Amir created a cool dashboard in less than a minute just using natural language. NO CODE. #PowerBi
10.59
Amir: How can we make Predictive Analytics and Data Science so easy that anyone can use it?
10.59
Amir: Announcing FORECASTING in #PowerView! #PredictiveAnalytics
11.00
Amir: We have some of the best Data Scientists and Researchers at @Microsoft. We put them to work to make it easy.
11.01
Amir: Forecasting is available NOW in every Line Chart in #PowerView Just click and drag the line forward to forecast
11.03
Amir: You can even correct for one-time events by clicking and dragging in the chart.
11.04
Amir: You can even TEST your forecast against older data to compare with actual results. #IWorkInSuchAGreatIndustry
11.05
Amir and Kamal bring Julie (audience volunteer) on stage for live BI demo.
11.06
Amir: here we have a #PowerView create around shark attacks. What if the user has other questions NOT answered by the report?
11.08
You can now get the Field List for a report in #PowerBI. So, users can tweak an existing report for their needs
11.08
Treemap introduced for #PowerView
11.09
Julie is dragging fields from one chart to another to explore a report and change it on the fly. #BIToTheMasses
11.11
Kamal: It’s a good time to caveat, this is a pre-release item… #AsTheDemoHiccups
11.12
Wow. Drag items out of one chart into a blank are to create a NEW chart
11.12
Amir: Getting attacked by a shark while swimming is not a very good thing. #ActionableInsight
11.13
Amir: If you go into the Ocean, take a weapon with you. Shark attacks while spear fishing have higher survival rate.
11.14
Amir: This “Gender” field is about the victim, not the shark. Not time to check while getting attacked. #NotRealTime
11.14
Amir: Which shark likes the ladies the most? The Bull Shark. #Duh
11.15
This demo with shark data is not just a fish story. #TellingStoriesWithData
11.16
Amir just did the “bump and shake” to combine two charts in #PowerView. Wow. Way cool.
11.17
Amir: The data does not lie – If you put sharks in swimming pools, people will learn to swim much faster #Truth
11.17
Amir: These features aren’t just for BI Pros, they are for EVERYONE! #BIToTheMasses
11.18
Amir: We are starting a new journey and we are so excited you are coming along with us. #MeToo
11.18
HUGE thanks to Microsoft’s Amir Netz and Kamal Hathi on another awesome keynote. #ILoveMyJob
11.19
That wraps it up for this morning’s Keynote. Thanks for following. I hope you found it helpful.
10.02
Getting ready for the Day 2 Keynote. People are filing in.
10.07
Lights are dimming. Here we go.
10.08
Denise McInerney taking the stage to introduce David McCandless.
10.09
David’s in the house…
10.09
David’s key phrase: Information is Beautiful. I have to agree.
10.10
Let’s start with Billions. Billions of dollars or something else. What do Billions look like?
10.11
David showing a Treemap. Hey, I saw one of those yesterday! #PowerBI
10.11
Americans give over 0 Billion per year to charitable causes.
10.13
David showing Daily Bread: Infographic on how much we, as Americans, spend per day on programs like NASA, Housing, etc
10.14
David showing blocks falling into place representing various economic expenditures, etc: Debtris (Playing on Tetris)
10.14
David: I LOVE to play with data. Just like children learn through play, so can we if we play with out data. #Explore
10.16
David is showing a chart of Fears that look like mountains in our way. Nice touch.
10.17
Highlighting the Fear of violent video games. Spike in November. And a Spike in April (related to Columbine tragedy)
10.17
Columbine often associated in media with violent video games. #Garbage
10.20
Most common “Break Up” times according to Facebook status updates. Mondays are apparently a poplar day to break up. #TheMoreYouKnow
10.21
Data is the New Oil #GreatMetaphor David’s is better: Data is the New Soil
10.22
The best way to start really using your data? Start asking questions.
10.22
“Do horoscopes always say the same thing?”
10.24
David scraped most common words in horoscopes. Boiled down: Whatever the situation or secret moment, enjoy everything a lot.
10.25
I learned a LOT in this process, just by playing
10.26
US Military Budget is MUCH larger than everyone else. But does that mean we are way militaristic?
10.27
When you compare military budgets as a percentage of GDP, US is 6th. #GoingOneMoreLayerToFineMeaning
10.28
Context is SO important to get a clear, true picture of our data. “Let the data set change your mindset”
10.30
Visualization what a Million Lines of Code looks like. Large Hadron Collider has more than 50 million lines of code. Healthcare.gov… I can’t even count them.
10.32
Cool visualization: Our galaxy creates 7 new stars per year. Planets are the norm, rather than the rarity we thought they were.
10.32
Given all that, statistically speaking, there could be 46 communicating civilizations in our galaxy.
10.33
“Pimp your data”
10.34
Of all the work I have done in my career, there is one thing I am most famous for: a Helicopter game that was ripped off by Flappy Birds Ninja
10.36
Our brains are incredibly visual. Three out of four neurons in our brain are visual.
10.36
We process visual images far better than text.
10.38
David showing a visualization: Who’s Suing Whom in Telecoms? Crazy pattern. Begs question: Do decreasing profits lead to increase in lawsuits?
10.41
David showing most popular Internet Search Terms laid out in maps of the countries in which they were used. Brilliant.
10.42
Great Venn Diagram showing how Pigs, Birds, and Humans relate by Flu: Influ-Venn-Za #MyKindOfHumor
10.43
If Twitter were made up of 100 users, 20 would be Dead (Empty accounts), and 75% of the Tweets would come from 5 users (Loud Mouths).
10.46
Showing visualization of most commonly used PIN numbers (gathered from previous data breaches). You guys, please choose better ones.
10.47
Data Visualization lets you see the Invisible
10.48
Is there a relationship between the efficacy and the popularity of vitamin supplements? Not much.
10.49
87% of supplements have no research behind them that indicates they have value. #Marketing
10.49
Key aspect of Data Visualization: You can compress a massive amount of information into a small, meaningful space.
10.50
Data Visualization is SO important for Mobile where you have much less screen space to work with.
10.52
David: It used to take me three days to make that Billion dollar Treemap. Now it takes 3 milliseconds. #ProgressYo
10.53
Qualitative Data is also Invisible. But you can Visualize it to fix that.
10.55
David, when visualizing some political comparisons, I REALLY wanted my viewpoint to look better than the other, but I couldn’t do that. #Honesty
10.57
There are organizations that use data visualization to LIE. Learn more about Data Viz so you can see the signs of impropriety.
10.58
Data Visualization of views can better reveal the places where opposing viewpoints actually overlap.
10.59
In the Newspapers, there is often an anxiety over white space: They Fear it. As a result, the meaning of the data is lost in noise.
11.00
In Data Visualization, Bling can create a barrier to understanding. It is the Data that should POP, not the shiny.
11.01
In Data Visualization, you should use your scissors more than your paint brush. #LessIsMore
11.02
Key takeaway from David: PLAY. Play leads to insight and understanding.
11.07
David showing visualization: Who is more Popular: Han Solo or Luke Skywalker? David: Interesting, no mention of either prior to 1977…
11.08
David: There is so much data in the world; what else can you do but play with it? #Exactly
11.10
Go to http://www.informationisbeautiful.net/ for David’s visualizations and great insights and data.
11.11
David: I never design ANYTHING until the data is sorted and clean. #FollowThisExample
11.15
David has created a symbology of stars so that they are not just points of light, but lack the resources to build it. Kickstarter?
11.17
David: Data is not this empirical thing that is immune from bias. It takes work and effort to keep bias out.
11.19
David: In terms of color, sometimes you need to come up with a meaningful metric that will be served well by color.
11.20
That wraps up the Day 2 Keynote here at the PASS Business Analytics Conference. Thanks much for following. I hope you found it helpful.
10.06
The Show will be starting in about ten minutes.
10.11
It’s great to see so many attendees filing in taking pictures of the room and the crowd. #SQLPASS
10.17
Today’s Keynote speakers include high level Data Platform executives within Microsoft. #WhereAreWeGoing #SQLPASS
10.19
James Phillips is the head of Azure/BI. This includes owning the direction of #PowerBI #sqlpass
10.20
Joseph Sirosh heads up the Information Management and Machine Learning group. #sqlpass
10.20
Ranga Rengarajan leads the Database and Big Data engineering business. #sqlpass
10.21
I love that Microsoft sees the value in #sqlpass and takes it seriously. #WeArePass
10.22
Today’s Theme: Evolving Microsoft’s Data Platform – The Journey to Cloud and Continues #sqlpass
10.23
PASS President Thomas LaRock on the stage. #HiTom #sqlpass
10.24
Round of applause for the makers of the “Best Data Platform on the planet” #DigIt #sqlpass
10.25
I want to thank the PASS Board Members for the hard work they put in to make PASS awesome. #sqlpass
10.25
PASS Board Q&A on Friday at 1 pm in Room 307-308 #sqlpass
10.26
First PASS Summit in Chicago in 1999 with 1200 attendees. #sqlpass
10.27
Today, PASS summit has 5899 attendees! #sqlpass
10.28
Tom: Community = Opportunities #sqlpass I am living proof of that. PASS has been HUGE for my career.
10.30
Tom: I challenge you to get involved. #sqlpass #DOTHIS Networking at Summit is AMAZING
10.31
The SQL Clinic is a spectacular place to get help with the products. #sqlpass
10.32
New This Year: Abstract workshops with speakers and Program Committee. #sqlpass
10.32
I will be at a Business Intelligence focused table at the Birds of a Feather lunch tomorrow. #sqlpass
10.33
PLEASE make sure to visit the Exhibit Hall to give the partners/sponsors a big THANK YOU! #sqlpass
10.34
Tom: Give vendors/sponsors a hug. #ChuckHuggers cc/ @sqlboywonder #sqlpass
10.36
Tom: PASS has been the cornerstone of my career since 2004. #sqlpass
10.40
Ranga taking the stage. #sqlpass
10.41
Ranga: We’re the only company that has this hyper scale cloud and the Enterprise presence to do magic. #sqlpass
10.42
Ranga: I love maps. I became a member of AAA when I found out they gave me free maps. #sqlpass
10.43
From maps to MapQuest…. #GrowUpStory #sqlpass
10.44
Ranga: Our success at Microsoft in the data world is because of YOU. #sqlpass
10.44
Ranga: EVERY YEAR, there is 41% more data than there was the year before. #sqlpass
10.45
Ranga: Data is the thing that is going to light up future productivity. #TRUTH #sqlpass
10.46
Ranga: “Data Culture” happens when people get the data they need and want when they need it. #sqlpass
10.47
Ranga: The Microsoft data platform enables that progress toward Data Culture. #sqlpass
10.47
Ranga: I am going to focus on the Capture and Manage parts of the data story. #sqlpass
10.48
Ranga: Microsoft is a data platform that doesn’t require you to make compromises. Culture of AND. #sqlpass
10.49
Ranga: Do more; achieve more. #sqlpass
10.50
Ranga: Capture diverse data; Achieve elastic data; Maximize performance & availability; simplify the cloud. #sqlpass
10.51
Azure DocumentDB: NoSQL DB service in the cloud, schema-free, ranging from ACID to eventual consistency. #sqlpass
10.52
Ranga: every application that is made expects a Search window. #Yup #sqlpass #DudeWheresMyData
10.53
Ranga: We think combining On-Premise and Cloud is necessary for the whole data story. #BestOfBothWorlds #sqlpass
10.54
Ranga: Scale Up = on prem SQL Server 2014 AND VMs in Azure. Scale Out = Azure SQL Database. #sqlpass
10.54
Ranga: Use the best tool for the job. #sqlpass
10.55
Tracy Daugherty of Pier1 Imports taking the stage. #sqlpass
10.56
Tracy: One thing we have a LOT of right now: orange pumpkins. #NoDoubt #sqlpass
10.56
Tracy: Azure Search lets us enable “fuzzy” search matching with great ease. #MakeItSimple #sqlpass
10.57
Tracy: Azure Search allows for a Scoring Profile so you can control how results are returned. #sqlpass
10.57
Ranga: Scoring Profile lets you weight the relevance of Search results. #sqlpass
10.58
Azure Search lets you squash the amount of code you need to find pumpkins…. #CouldNotResist #sqlpass
10.59
Tracy: JSON for the win. #sqlpass
11.00
JSON (Java Script Object Notation) is a very popular format for sharing data across platforms. #sqlpass
11.01
Watch me use #PowerQuery on Friday to consume JSON with ZERO CODE with a few clicks. #sqlpass
11.03
Tracy showing how they use Sharding in Azure SQL Database to scale workload easily. #sqlpass
11.05
Tracy is configuring Geo Replication for the main Pier 1 database easily in the Azure Management Portal. #sqlpass
11.06
Geo Replication: Where in the world is my database? There. AND There. AND There. #sqlpass #CultureOfAND
11.07
Ranga: Azure SQL Database has a 99.99% SLA. No one else has that. #sqlpass
11.08
Ranga: When we engineers at Microsoft run a million databases EVERY DAY, we learn things very quickly. #sqlpass
11.08
Ranga: lessons from the cloud enhance the On-Premise products. #CloudFirstFTW #sqlpass
11.09
Ranga: Use the right tool. Sometimes that is cloud. Sometimes on prem. We want that to be seemless. #sqlpass
11.10
Ranga: Take the data from wherever you find it, put it in the RIGHT engine and leave it in the cloud. #sqlpass
11.11
Ranga: Stackoverflow is a key customer. They have broken through limits on SQL Server using clever techniques. #sqlpass
11.12
Ranga: Stackoverflow takes advantage of In-Memory technology and uses it well. #sqlpass
11.13
Ranga: Samsung has seen 24x performance boost using SQL Server In-Memory technology. #sqlpass
11.15
Great to see Microsoft really embracing the idea that Relational is not everything. #PickTheRightEngine #sqlpass
11.15
Ranga: over 1.2 million downloads of #SQLServer 2014 #sqlpass
11.16
Ranga: Announcing a major update to Azure SQL Database. Will be in Preview by end of 2014. #sqlpass
11.17
Ranga: new features include leap in TSQL compatibility, parallel queries, Extended Events, In-Memory ColumnStore #sqlpass
11.19
Ranga: Introducing Mike Zwilling to show some cool stuff around Pier 1 Imports. #DatabaseEngineGoodness #sqlpass
11.19
Mike: People want real-time analytic queries on transcriptional data. #IWantItNow #sqlpass
11.20
Mike: I need your help to generate some load: go to http://aka.ms/gopass to help this demo out. #sqlpass
11.21
Mike: you are generating load on a beck-end SQL Server running In-Memory OLTP. #sqlpass
11.22
Mike showing LIVE analytics on top of transnational database we are hitting. Really cool. #sqlpass
11.23
Mike: we have a combination of the In-Memory engine AND a non-clustered ColumnStore index on the SAME table. #sqlpass
11.25
Mike: that ability to STRETCH a table to reach from On-Premise to Azure. The SAME table. #sqlpass
11.26
While the table is being stretched, you can still query it. #sqlpass
11.27
Looks like Ranga bought a “Hug Chuck” T shirt. #ChuckHuggers /cc @SQLBoyWonder #sqlpass
11.28
Mike: When you stretch a table, the bulk of the work happens with resources in Azure, not On-Premise. #sqlpass
11.29
Mike: we lost the on-premise server. I need to restore JUST THE LOCAL portion of the database. #sqlpass
11.29
In a few seconds, the on prem was restored and synchronized from Azure and we are back up and running. #sqlpass
11.30
Ranga: With this technology, you get the benefit of the Hyper Scale cloud in an invisible way. #sqlpass
11.30
Joseph Sirosh taking the stage to talk about Machine Learning, etc. #sqlpass
11.31
Joseph calling on the crowd to do the wave. #ContinuousIntegration #sqlpass
11.32
…and people actually did it. #sqlpass
11.33
Joseph: You want to understand the past, analyze the present, and predict what’s next. #sqlpass
11.34
Joseph: Azure Data Factory is in-Cloud data movement for moving data around. #sqlpass
11.35
Joseph: ANNOUNCING Free Azure Machine Learning at azure.com/ml #sqlpass
11.36
Joseph: We are democratizing data and capabilities. #BIToTheMasses #sqlpass
11.36
Sanjay Soni taking the stage to lead a demo around Pier 1. #sqlpass
11.37
Do we see a Pier 1 Import/Output Wizard in the future? #Joking #sqlpass
11.37
Sanjay showing In-Store Analytics using Kinect as a source…. #sqlpass
11.39
Sanjay showing heat map in #PowerMap visualization the customer movement in the store. #sqlpass
11.39
Sanjay showing how they used Azure Data Factory. “Think of SSIS to the power of X in the cloud.” #sqlpass
11.40
Joseph: You’re seeing a browser-based authoring environment. #sqlpass
11.41
Joseph: The speed at which you can get Data to work for you using this tool is amazing. #sqlpass
11.41
Joseph: all this through a browser and JSON documents. #sqlpass
11.42
Joseph: The data is flowing into Azure via Kinect sensors, ADF, and Azure Streaming Analytics. #sqlpass
11.43
Sanjay showing real-time (seconds) data visualizations about what is happening in the store RIGHT NOW. #NoPieCharts #sqlpass
11.44
Sanjay: How many lines of code to make this happen? FOURTEEN. #sqlpass
11.44
Sanjay: Azure Machine Learning is my new favorite product. AWESOME! #sqlpass
11.46
Sanjay now showing a Pier 1 app on his phone. #sqlpass
11.47
It’s not an iPhone. #JustSaying #sqlpass
11.47
Pier 1 was able to send Sanjay recommendations to his phone, with speech. #sqlpass
11.48
Sankay using speech recognition to find what he asked for and display it on the in-store map. #cool #WhereDoYouWantToGoToday #sqlpass
11.49
Since he searched for glasses, the app determined he might also be interested in other table ware. #sqlpass
11.50
Joseph: We are trying to make the BEST platform to analytics across On-Premise and Cloud. #sqlpass
11.50
James Phillips taking the stage. #PowerBI #ILoveIt #sqlpass
11.51
James: We want to bring insights to more people – faster #sqlpass
11.51
ANYONE that makes decisions can make better ones with better information. Not just for the C-Suite anymore. #sqlpass
11.52
James: Simplify data discovery. #PowerQuery #PowerPivot #sqlpass
11.53
#PowerQuery has had over 320,000 downloads since February of 2014. #sqlpass
11.54
James: Do more; achieve more: Simplify data discovery; deliver faster insight; connect to on-premise; enable data culture. #sqlpass
11.55
James: ANNOUNCING: Interactive Query – from Power BI, connect back to on-premise SSAS while keeping the data on prem. #sqlpass
11.55
James: Data sitting at rest has potential. We want to unlock that. #DataDividends #sqlpass
11.56
James: LIVE OPERATIONAL DASHBOARD #sqlpass
11.57
This is a NEW Power BI, not the same one we know and love right now. #sqlpass
11.57
The current one is NOT going away. We are just getting a new story to go along with it. #PowerBI #sqlpass
11.59
James is not using Q & A to create new visualizations based on corporate data and “pinning” them to his dashboard. #sqlpass
12.00
YOU get a dashboard. And YOU get a dashboard. And YOU get a dashboard… #Oprah #sqlpass #PowerBI
12.01
James: I don’t like Pie charts so I am going to make this a tree map, instead. #Winning #DataViz #sqlpass
12.01
James just signed into One-Drive and is connecting to an Excel Spreadsheet FROM POWER BI IN THE CLOUD #sqlpass
12.02
James combining charts by dragging one chart onto another. #Boom #sqlpass
12.03
James: This new #PowerBI is in private preview and will be hitting public preview soon. PowerBI.com #sqlpass
12.04
Ranga: Try Azure Machine Learning to day for a free trial with a Live ID. #NotTotallyFreeIfItIsJustATrial #sqlpass
12.04
Ranga: Be the hero of your data-driven business. #sqlpass
12.06
That wraps up the PASS Summit 2014 Keynote day 1. Thanks for following along. See you tomorrow morning! #sqlpass
10.14
I love the smell of #SQLServer in the morning. Smells like Awesome.
10.16
Adam Jorgensen taking the stage. #HiAdam #sqlpass
10.18
Adam: PASS Summit generates .9 Million in revenue. The PASS BA Conference generates .3 Million. #sqlpass
10.21
Adam: Starting in Fiscal 2015, we will budget budget summaries. #sqlpass
10.24
Sorry for the silence. Having connectivity issues… #SadPanda #sqlpass
10.25
Grant Fritchey joining the board on January 1. #ScaryBoardMember #sqlpass
10.25
PASS TV makes Summit a global experience. #sqlpass
10.26
Denise: PASS is a great enabler for personal growth. #Truth #sqlpass
10.28
PASSion Award Winner: Andrey Korshikov! #sqlpass
10.29
Andrey is a PASS Regional Mentor and organizer of several Russian language PASS Events. Awesome! #sqlpass
10.32
PASS Business Analytics Conference 2015 in Santa Clara, CA April 20-22 #sqlpass
10.33
Denise: Make sure to update your member profile on sqlpass.org to find out opportunities to volunteer. #sqlpass
10.34
Make sure to bring your attendee badge to get into the Community Appreciation Party tonight. #sqlpass
10.34
PASS Summit back here in Seattle October 27-30 2015. #sqlpass
10.36
Rimma Nehme, Principal Engineer at Microsoft Jim Gray System Lab, taking the stage. #sqlpass
10.36
Cloud Databases 101: Cloudy with a chance of more clouds, all with data. #ThingsAreLookingUp #sqlpass
10.38
Rimma: Trying to be a man is a waste of a woman. #Awesome #sqlpass #WIT
10.39
Rimma: I know a little bit about databases. #Understatement #sqlpass
10.39
Rimma: I’m a HUGE fan of the PASS community! #LoveIt #sqlpass
10.41
Rimma: Why cloud computing? #sqlpass
10.41
Rimma: With cloud technology being relatively new, it creates “Shiny Object Syndrome” #sqlpass
10.42
Rimma: Cloud = Service. On demand, anywhere, anytime. #sqlpass
10.43
Rimma: Blame networking people for the name Cloud Computing. #sqlpass
10.44
Rimma: Cloud Computing = On demand self-service. #DoItYourSelfYo #sqlpass
10.45
Rimma: One person and a credit can tap into the largest computing resource pool in the world. #sqlpass
10.45
Hm. I wonder what my Data Credit Score is…. #sqlpass
10.46
Rimma: Cloud computing reduces dev time and effort as you don’t need to spin up your own infrastructure. #sqlass
10.47
First wave of Massive Computing started in the 1960s with Super-Computers and Mainframes. #sqlpass
10.49
Rimma: The future of the Data Center is shipping containers full of servers. #ModularDataHomes #sqlpass
10.51
Rimma: Resources are NOT infinite. Optimizing for energy efficiency is leadership. #sqlpass
10.54
Take advantage of Evaporative Cooling. #DataScience? #sqlpass
10.56
Rimma: So that is Why Cloud. Now, what is Cloud DB? Take Earthed DB and add Service. Voila! #sqlpass
10.59
Rimma: Pizza as a service. On prem: you do it all. #sqlpass
10.59
Rimma: The other extreme is Cloud: Dining Out. The vendor manages everything. #sqlpass
11.00
Showing Pizza as a Service with no Pie Charts! Woohoo! #sqlpass
11.04
Dr. Nehme giving so much awesome information, I am having trouble keeping up. #GoodProblemToHave #sqlpass
11.05
Dr. Nehme: Maybe you will invite me back for another Keynote. #YesPlease #sqlpass
11.07
Dr. Nehme: starting up the bathroom analogy for virtualization. #sqlpass Hard to share efficiently.
11.07
Dr. Nehme: With virtualization, you lose direct access to computing resources. #sqlpass
11.08
Dr. Nehme: Virtualization is wonderful, but you have to keep in mind the trade-offs. #OftenWorthIt #sqlpass
11.09
Dr. Nehme: Server consolidation can lead to great energy savings as well. #sqlpass
11.11
High Availability with Pizza: If your delivery person gets lost, you still get the pizza from another. #sqlpass
11.13
Dr. Nehme: If application independence is VERY important to you, avoid the share schema approach of Multi-Tenancy. #sqlpass
11.14
Dr. Nehme is making the complex simple through great analogies. Fantastic job and a great example to follow. #sqlpass
11.15
Dear presenters: Please not that Dr. Nehme has not read to us. Not even once. :) #sqlpass
11.16
Dr. Nehme: a quick peek at the Azure SQL DB architecture. (I will try to keep up). #sqlpass
11.17
Dr. Nehme: Designed with High Availability in mind. #sqlpass
11.18
Azure SQL DB includes layers of abstraction to that you don’t need to deal with it. #DatabasesToTheMasses #sqlpass
11.20
Dr. Nehme: SQL Node architecture – The log files are shared across multiple databases. #SomeSharing #sqlpass
11.21
Dr. Nehme: The SQL Azure Gateway Service manages the traffic to make Azure SQL DB work. #sqlpass
11.22
Dr. Nehme: Do we still need a DBA in the Cloud Era? YES. ABSOLUTELY. #StretchToCloud #sqlpass
11.23
With Cloud Era, the on-premise story does NOT go away. There will be lots of hyrbid solutions REQUIRING on-prem. #sqlpass
11.23
Dr. Nehme: DBAs should add Cloud expertise and start calling themselves a Cloud DBA. #sqlpass
11.25
Dr. Nehme: You DBAs will become the Cloud DBAs. Embrace it! #sqlpass
11.26
Dr. DeWitt joining Dr. Nehme on the stage. “He has been a great mentor.” #NoDoubtAboutIt #sqlpass
11.26
Thank you, Dr. Nehme. That was fantastic. #sqlpass
11.27
Dr. Nehme received a well-deserved standing ovation. #sqlpass
11.28
Dr. Nehma: All you guys in kilts, please come take a picture with me in front of the stage. That is really cool. #sqlpass #SQLKilt
11.29
That wraps up the keynotes for Pass Summit 2014. Thanks so much for following. #sqlpass
10.14
It’s so fun to watch everyone file into the room for the keynotes.
10.20
Showtime.
10.22
PASS President Thomas LaRock taking the stage.
10.23
Official Announcement: #SQLHugs are a thing.
10.23
Folks from 58 countries present at Summit.
10.26
PASS Board Q&A at 3:30pm. Come ask questions and get answers.
10.26
Big welcome to the first time Summit attendees! Get ready for an awesome ride.
10.28
Tom: Data Professional are the true life force for companies around the globe. #ItsAllAboutTheData
10.29
For me, PASS has been a HUGE factor and my taking my career to where it is today. Thank you!
10.30
Stop by the Community Zone on the 4D Skybridge! Great place to Connect Share and Learn.
10.31
Hurray for Speaker Idol! Growing new speakers is AWESOME!
10.33
Super huge thanks to sponsors who help PASS have such a tremendous impact for us.
10.35
Thanks for your service as PASS President, Tom!
10.35
Microsoft Corporate VP Joseph Sirosh about to take the stage!
10.38
Sirosh: The ability to understanding data is transforming our daily lives.
10.39
Sirosh: Once data got an IP Address, we got abilities to connect everything.
10.40
Sirosh: In the Age of Software, the goal was to digitize everything. A computer on every desktop.
10.41
Sirosh: In the Age of Data, data and the analysis of data is driving us forward.
10.42
Dartmouth-Hitchcock used Microsoft technologies to create a new health care platform called ImagineCare
10.43
ImagineCare: The Internet of People Things – personalized care using devices and cloud-based monitoring
10.44
Sirosh: In the new world, Data will predict everything.
10.45
Sirosh: Today’s hospitals are optimized for treating things that already happened instead of preventing them from happening.
10.46
Sirosh: It used to cost 0 million to sequence one person’s genome. Now it costs less than 00.
10.47
The future of HealthCare: Instead of the treatment that works for others, you get the treatment that will work for YOU.
10.48
Sirosh: A lot of genomic analysis is done in R
10.50
Sirosh: DocuSign has 50 million users today. Someone signs electronically with DocuSign every .4 seconds!
10.50
DocuSign Chief Architect Eric Fleischman taking the stage
10.51
DocuSign uses #SQLServer for their OLTP systems. #YouShouldToo
10.52
Fleischman: We bet BIG on Always On #sqlserver
10.53
Fleischman: We’re not database people. We don’t want to write a database engine. I want to USE one. #sqlserver
10.54
Fleischman: We made a major investment into the telemetry inside the system. We have systems for tracking the systems.
10.55
Fleischman: Always Encrypted is a big deal for us. We’re in the Trust business.
10.56
Sirosh: High-performance OLTP has been vital for a long time. The importance of USING that data effectively is on the rise.
10.57
Stop just STORING your data. Start USING it.
10.58
Sirosh: We have our feet on the ground and our head in the cloud
10.59
Sirosh: When we have that and a community like PASS, you help us become #1
11.02
Shawn Bice Micrrosoft GM for Database Systems Group taking the stage
11.03
Bice: In this era, companies who embrace data will be far more competitive than those who don’t
11.04
Bice: SQL Server 2016 is backbone of Azure. Billions of queries hit that every single day
11.05
Bice: Everything I am going to show you on SQL Server 2016 today is BUILT IN
11.06
Bice: SQL Server is mission critical ready – It is backbone for train transportation in an entire country
11.08
Bice: R is the #1 choice for data scientists and statisticians in the world. Welcome to SQL Server!
11.09
You want cloud? Choose Microsoft. You want on-prem? Choose Microsoft. You want to straddle both? Choose Microsoft.
11.11
Bice: Do you realize you can enroll an Azure VM in an on-premises availability group in about 5 minutes?
11.12
Bice: We had a data center ACTUALLY LIGHT ON FIRE. We failed over all our customers there in 5 hours.
11.13
Bice: Polybase is baked right into SQL Server 2016 #TheNeedsOfTheMany
11.14
Bice: Auto insurers tying telemetry data to customers for rate calculation using SQL Server
11.15
Bice: Real-time is not just throughput. It’s the ability to learn and adjust as tings are happening.
11.15
Sometimes, you need to learn NOW, not just AFTER ETL ran…
11.16
Bice: Real-Time Operational Analytics ftw!
11.17
Operational Analytics with R in SQL Server: Learn from your data where it lives
11.18
Rohan Jumar, Microsoft Partner Director in Engineer is joinig Shawn Bice on stage
11.19
Jumar showing map of PCubed showing lighted dots based on financial transactions everywhere in the world.
11.20
Bice to Jumar: With that kind of scale, how do you even begin???
11.22
Jumar showing the realtime dashboard used by PCubed to track their system. #NoPies
11.23
Jumar: With SQL Server 2016, you can achieve the realtime analytic without impacting our OLTP queries
11.29
Jumar showing an R script directly into a T-SQL stored procedure while the data never leaves the safety of SQL Server
11.30
Typos…. Kumar, not Jumar… sorry.
11.31
Bice: We have invested more on security in SQL Server 2016 than ever before
11.33
Bice: There is a big hole in the data world – open access to the buffer pool. Always Encrypted fixes that for SQL Server
11.33
Bice: With Always Encrypted, the work happens on the client side, not in the engine
11.34
Rohan Kumar coming back on the stage
11.38
Kumar: Always Encrypted allows encryption at rest AND in transit.
11.39
Dear Man-in-the-Middle Attackers, SUCK IT. Sincerely, SQL Server 2016 Always Encrypted
11.41
Bice: This is a new SQL Server. We’ll take the most complex things and simplify them for you.
11.42
Bice: Stretch DB allows “stretching” tables into Azure for CHEAP storage while keeping data queryable!
11.44
Bice: Stretch Database and Always Encrypted work awesome together
11.44
Do you want speed or security? With SQL Server 2016 you get BOTH
11.47
Kumar: We worked to make Stretch Database easily usable by DBAs who have not done much in Azure
11.49
Kumar showing a query from two tables, one Stretched, one not.
11.50
Kumar: We’ve built Stretch on the distributed query infrastructure we have had with SQL Server
11.52
Joseph Sirosh taking the stage again.
11.52
Sirosh: Building great projects is a journey. SQL Server 2016 took twenty years of work
11.54
Sirosh: We believe in dog-fooding all of these. We are using this ourselves
11.55
Sirosh: We don’t believe in nickle-and-diming customers for every new feature
11.56
Sirosh: We are creating better and new human experience – WITH DATA
11.57
Sirosh: This is the age of the data professional. It is our time.
11.57
That wraps up this keynote. Thanks for following along. These are great times we live in, friends.
10.10
Folks are filing into the hall. There is quite a bit of excitement in this room.
10.21
Here we go, yo.
10.22
Adam Jorgensen taking the stage.
10.24
All PASS financial information is available at www.sqlpass.org/governance
10.25
Summit attendees have doubled since 2007! I have certainly gained weight…
10.26
In 2008, there were 5 SQL Saturdays… in the US. In fiscal 2015, there were 99 globally….
10.27
PASS has over 150,000 members worldwide from 163 countries. This covers 86% of the countries in the world.
10.29
Total fiscal year 2015 spend was a bit over million. 78% of those dollars went directly back into the community
10.30
Starting this fiscal year 2016, PASS will be publishing portfolio budget summaries for better transparency
10.32
SQL Rally resources are being routed to SQL Saturday
10.32
Also this year, a goal is to do a redesign of sqlpass.org
10.33
Denise McInerney taking the stage
10.36
Great recognition for Amy Lewis and Bill Graziano for their contributions to PASS on the board.
10.37
Volunteers work so hard to make PASS what it is. THANK YOU!
10.37
Passion Award goes to Lance Harra!
10.39
Wow. Lance has done so much that I can’t keep up. Way to go, sir!
10.40
There are 3000 people tuning in LIVE on PASSTV from 95 countries right now. HI!
10.42
Since 2009 12 24 Hours of PASS events have been delivered in Spanish, Portuguese, or Russian. Awesome!
10.43
PASS Summit 2016 will be October 25-28 here in Seattle!
10.45
Welcome to Dr. David DeWitt and Dr. Rimma Nehme! If you want to learn about presenting, watch them. They rock!
10.45
Dr. Nehme (Nehme) taking the stage!
10.46
Nehme: I will be the appetizer, David will be the entree, then I will be the dessert.
10.47
Nehme: We thought the Internet of Things (Thingernet) would be a great topic.
10.47
Nehme: Why should you, as data professionals, care about this technology?
10.48
Nehme: What is IOT? A collection of connected devices that work together to do something useful.
10.48
No pizza this year.
10.50
Nehme: Two types of IOT: Consumer (wearables, etc), Industrial IOT (machines etc)
10.50
Nehme: Consumer IOT examples, Fitbit, Nest, etc
10.51
Nehme: Industrial IOT…. Can we build more intelligent roads? Hospitals?
10.52
Nehme: Significant value will be realized from the Industrial IOT
10.53
Nehme: Four Types of IOT Capabilities: Monitoring, Control, Optimization, Autonomy
10.53
Nehme: We are somewhere between monitoring and control right now. I call it the Terrible Twos of IOT
10.54
Nehme: In 2003 we have about 500 million devices connected to the Internet. In 2010, we had 12.5 billion.
10.55
Nehme: Somewhere in 2008, the number of Internet connected devices exceeded the population of the Earth
10.56
DeWitt taking the stage to talk about the HOW if IOT…
10.57
DeWitt: Lots of challenges to IOT. Huge variety of sensors. Lots of devices. Dirty sensor readings. Data volume/scale
10.58
DeWitt: Device security is a huge challenge as well. Challenges also with cloud to device messaging
10.58
DeWitt: the last major challenge is deployment. When you have billions of “things” how do you manage that?
10.59
I say it every year. But notice that neither Dr. Nehme nor Dr. DeWitt have READ to us…
11.00
DeWitt: Even the cutting edge IOT is still rather primitive
11.01
DeWitt: Pretty much every IOT device has a sensor. Most of them also have an actuator to perform an action
11.02
DeWitt: Once the data gets to the Cloud, you have a lot of options for what you can do with it
11.03
DeWitt: Occasionally, a command will be sent from the Cloud back to the device: Cloud to Device Command
11.03
DeWitt: IOT Hubs are cloud-based services for interacting with the “things”
11.04
DeWitt: Real-time streaming systems, like Azure Stream Analytics, operating on a finite window of time
11.05
DeWitt: They only PROCESS data. They don’t have time to store it.
11.06
DeWitt: The Azure IOT hub provides device authentication since security is so critical
11.06
There is not way I can keep up with either Dr. Nehme or Dr. DeWitt. But trying is really fun
11.08
DeWitt: If you want to store the IOT data, you need a consumer that will take it out of the hub to store it
11.10
DeWitt: You have a number of options for storage, but SQL DW is the best one. #WinkWink
11.10
DeWitt: Azure Machine Learning is a great solution for “predicting when the boiler will explode” #NoPressure
11.12
DeWitt: So what IS a real-time query engine? In my mind, it is a streaming database system
11.12
DeWitt: You have queries that operate over events across time windows.
11.13
Now I have “Islands in the Stream” in my head. Thanks, Doc.
11.14
DeWitt: The stream can send the ID values of boilers about to explode to a system to open the release valve
11.15
DeWitt: Raspberry Pi is not running SQL Server.. yet. That’s NOT a product announcement…
11.16
If you visualize an array of Raspberry Pi devices, that is a Pi Chart. #JustSaying
11.17
DeWitt: Right now Azure IOT is pretty limited. Currently, metadata is not stored in a DBMS. So, no query support
11.18
DeWitt: Devices must poll in order to keep checking for commands.
11.18
DeWitt: IOT events are PUSHED up into the cloud.
11.19
DeWitt: issues with pushing only: bandwidth, connectivity, latency, data deluge, storage
11.20
DeWitt: In our opinion, pushing everything to the cloud is a huge waste of resources
11.21
DeWitt: Have a streaming query engine near the device to aggregate and send results to the cloud instead of each event
11.22
DeWitt: This reduces what we push into the cloud, and allows for dealing only with IMPORTANT events
11.22
Dr. Nehme taking the stage again.
11.23
Nehme: Fog Computer aka Edge Computing. This is not Cloud VERSUS Fog. It is Cloud + Fog
11.24
Nemhe: We are taught that you never move the data to the computation. You move the computation to the data.
11.24
Nemhe: The Cloud is basically this big gorilla… #TheOneAndOnlyIvan
11.25
Nehme: IOT is not just a Networking problem. It is also a database problem.
11.25
Nemhe: Polybase for IOT. This is NOT a product announcement… but if you make enough noise…
11.26
Nehme: Today you have to specify everything you want to do about IOT
11.27
Nehme: How about IOT-SQL? Why not query Devices like we query Tables? #Dude
11.28
Nehme: Regular attributes can be inserted, deleted, etc. Extended Attributes are set by the device alone
11.29
Nemhe: Scalable metadata management with a Shell Database. Essentially, metadata only.
11.31
Nehme: Where could the Shell be stored? Anywhere, really. DocDB, HDInsight, Azure SQL DB… It’s just a database.
11.34
Nehme: Make sure only meaningful, important, information is sent up to the cloud.
11.35
Nehme: Larger computations happen in the Fog near the device instead of sending it all to the Cloud
11.36
Nehme: Why should as Data Professionals care? You either part of the steamroller, or part of the road.
11.37
Nemhe: The amount of data to manage is increasing exponentially. So, what does success look like?
11.37
Nehme: This is our last PASS Keynote. #Noooooooooooooooooooooooooooooooooooooooo
11.38
HUGE THANK YOU to Dr. Dewitt and Dr. Nehme for so many AWESOME keynotes. We will miss you!
11.39
DeWitt: It is time to give up on the full time gig and start collecting Social Security. #YouHaveEarnedIt
11.41
HUGE Standing Ovation for Dr. DeWitt and Dr. Nehme.
11.41
That wraps up the Day 2 Keynote. Thanks for following along.
13.55
Huge thanks to SQL Sentry for sponsoring!
13.57
This year’s special guest is Angie Chang of Hackbright Academy, an engineering school for women.
13.59
Angie will sit down with Denise McInerney, PASS VP of Marketing.
14.00
I love looking around the room at the Women in Technology Luncheon and seeing so many men in attendance.
14.18
Denise McInerney taking the stage. Here we go.
14.18
Angie Chang joining Denise on stage.
14.19
Chang has a BA in English and is in Technology. Me too. Liberal Arts = Learning How to Learn
14.21
Chang has long been involved in helping women network and improve themselves
14.21
Chang: Hackbright has graduated over 300 women at this point.
14.22
Chang: Hackbright started by folks who attended a coding bootcamp in San Francisco.
14.23
Hackbright: We’ll teach you how to code in ten weeks.
14.24
Chang: we are teaching python as a full stack framework. We also do Angular and teach women how to mentor each other
14.24
Chang: Each student gets three mentors to help with code reviews, etc
14.25
Chang: People choose Hackbright because of the Community. #CommunityMatters
14.26
Chang: Hackbright students and alumna have come from so many various backgrounds.
14.27
McInerney: I know you have a high rate of job placement from Hackbright. Can you share success stories?
14.28
Chang: We have several women who have gone onto senior software engineering positions and engineering managers
14.28
Chang: Survey Monkey has, I think, hired more Hackbright alums than any other company
14.29
McInerney: How are companies supporting Hackbright Academy?
14.29
Chang: We invite partners companies to a career day to come and meet all our graduating students.
14.30
Chang: Several companies also offer scholarships for Hackbright students
14.31
Chang: For the first GirlGeek dinner I hosted in the Bay Area, we have 400 people sign up in 5 days. #Winning
14.32
Chang: Often, people get hired based on networking, etc, at Girl Geek dinners.
14.33
Chang: Train your managers so that women who are already IN tech have a good experience
14.34
Chang: There are so many roles that women of ANY age can fill. It’s a shame we only focus on the youngest
14.35
Chang: Making sure women can start having a better experience in Tech is going to help with retention of women in in Tech.
14.36
Chang: We encourage our students to BE THE CHANGE THEY WANT TO SEE #GoodAdviceForAllOfUs
14.38
McInerney: What advice to you have for parents that want to make a difference in this area?
14.39
Chang: Don’t just enroll your boys in tech camps, etc. Enroll your girls, too. #ProudToSayIDoThat
14.39
Chang: Encourage your girls to be brave instead of afraid they are going to break things. #ItsOKToFail
14.40
McInerney: How can people help support Hackbright Academy?
14.41
We are opening up to questions. People online can ask via hashtag #passwit
14.42
McInerney: What’s your perspective on how schools need to change?
14.42
Chang: One example is a project called Technovation that helps girls write Android apps and pitch them
14.44
Chang: I was really lucky to have a computer programming class in high school. We need more of that.
14.44
McInerney: There is a documentary on Technovation coming to YouTube next week called Code Girl
14.45
Chang: We have never had a student directly out of high school. We’re wondering why that would be.
14.46
Chang: At Hackbright, we have lots of hackathons and they have been women of all ages.
14.47
Twitter Question: Are there plans for paths other than software engineering at Hackbright?
14.48
Chang: Currently, we are trying to fill the gap in software engineering. These are good-paying jobs, etc.
14.48
Question: Have you seen blowback form that fact that Hackbright is not a four-year degree?
14.49
Chang: It’s kind of silly that so many positions require a four-year degree. It is just not that important these days.
14.50
Chang: Eliminating the degree requirements does NOT lower the bar. It just makes the job description more accessible.
14.53
Chang: We’re working on piloting some Hackbright hackathons in companies to help them elevate their women
14.54
Question: Why more women in tech?
14.55
Chang: Diverse teams have better results. The helps everyone.
14.58
Chang: Autodesk is one our partners. Internet of Things and Data Science have been interesting topics for our graduates.
15.01
Twitter: Do you think it is damaging to refer to females as Girls instead of Women?
15.01
Chang: There are far more important things to worry about than Girls vs Women
15.03
McInerney: There’s a lot of information our there about Unconscious Bias.
15.04
Chang: In a lot of companies, some managers bring up women in there team, others… not so much
15.05
Chang: Good mentors are needed. So many women leave tech over a bad manager
15.07
Chang: Field trips are great. They have inspired our students tremendously. Show them a good tech experience.
15.08
Chang: We also mentor our mentors to make sure they learn how to be good mentors.
15.08
Chang to Mentors: If you are asking me how you are doing, you are probably doing a good job.
15.09
Chang: THANK YOU for having this conversation!
15.10
Thanks to Angie Chang, Denise McInerney, and sponsor SQL Sentry for a great Women in Technology Luncheon.
15.11
That wraps up the live blogging to this Summit. Thanks for following along.