Bill Loconzolo talks #bigdata at #StrataHadoop 2016
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VP of Data Engineering & Analytics, Bill Loconzolo talks about building a scalable, secure data platform at the 2016 Strata Hadoop Conference. If you missed his presentation, check it out. http://intuit.me/22T5Beh
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Bill Loconzolo talks #bigdata at #StrataHadoop 2016
- 1. Bill Loconzolo VP, Data Engineering & Analytics @bloconzolo Building a Scalable, Secure Data Platform: If I Knew Then, What I Know Now
- 3. 1993 IPO 4.2B Revenue 27 LocationsFounded 1983 7,700 Employees 37M Customers Our mission: To improve our customers’ financial lives so profoundly… they can’t imagine going back to the old way
- 4. Journey to scalable, secure data platforms
- 5. Intuit’s big vision for data Transform the lives of our customers by unleashing the power of data Customer Inspired
- 6. Era of Windows Era of Web Era of the CloudEra of DOS Spanning three decades of data Compliant data Mobile First 1980s 1990s 2000s • Employees: 150 • Customers: 1.3M customers • Revenue: $33M • Employees: 4,500 • Customers: 5.6M • Revenue: $1.04B • Employees: 7,700 • Customers: 37M • Revenue: $4.2B 20162010 Regulatory data Transactional data Batch data Real time data Complex, secure data
- 7. Intuit Data Engineering & Analytics Team
- 8. The Intuit Analytics Cloud (IAC) Data-Driven Users Data-Driven Products CG SBG Generic Data products that enable value to be derived from the IAC IntuitAnalyticsCloud Real Time Ingest Batch Ingest IAC = Data + Infrastructure + Foundational Services Business Lookup Unified Profile Personalization A/B Testing …… Real Time Data Layer Intermediate Data Source Data Online Accountant
- 9. Declare a big vision, but ground it in reality1. Know how to say “no”2. Constant communication is not over-rated3. Move fast, but with built-in rigor4. Beware of those who believe in big data black magic5. If I knew then, what I know now
- 10. Declare a BIG VISION, but ground it in reality 1.
- 11. 1. Declare a BIG VISION, but ground it in reality Know the state of your data
- 12. 1. Declare a BIG VISION, but ground it in reality Know the state of your talent
- 13. 1. Declare a BIG VISION, but ground it in reality Build a culture for the long haul
- 14. 1. Declare a BIG VISION, but ground it in reality Know the state of technology
- 15. 1. Declare a BIG VISION, but ground it in reality Know your customers
- 17. Constant communication is NOT over-rated 3.
- 18. Move fast with built-in rigor Don’t sacrifice rigor for speedMove fast with built-in rigor 4.
- 19. 4. 4. Move fast with built-in rigor Be a data-driven organization
- 20. Beware of those who believe in big data black magic 5.
- 21. Declare a big vision, but ground it in reality1. Know how to say “no”2. Constant communication is not over-rated3. Move fast, but with built-in rigor4. Beware of those who believe in big data black magic5. If I knew then, what I know now
- 22. Q&A@bloconzolo
Hinweis der Redaktion
- Data is a strategy – requires persistence & pace Like a baseball season – play for the end game (Ups and Downs) It’s a team sport – No 1 team
- 33yrs My learning's I believe are applicable for a startup to large organizations
- OK, help me out, need to know who I’m talking to How many of you consume data capabilities / BI / Warehouse / ML environments Raise your hands if you create / operate / support data systems for your company / organization
- Transformation is a big word…. We have been around for decades - Data needs to be Product, not application Use Cases then data We need to move from what happened yesterday (BATCH) to in session insights (REALTIME)
- 6
- We are a central team -- we had been around for about a decade A central capability data team needs to be clear who you are, who you are there to deliver for, and how to celebrate success Inheriting a team, creating a new vision, and defining & driving the culture and organizational health is THE TOUGHTEST JOB
- We built a platform for Products (realtime) and People We built a lot of things nobody asked for in Products (Streaming capabilities, Unified Profile – 360 Customer, Simple lookup services, Web/Mobile SDK’s, A/B testing framework) This is hard to explain, why would you build it… There is a lot of tension It took longer to gain alignment than it did to execute, access, and iterate
- Cant hit a home run every time You goal may be to win the world series, but you need to win on average 94 games to make it into the playoffs A data vision requires a multi year objective with many wins and losses, but a clear objective where you are going and what success looks like
- Know what your data sources are. - Understand that BATCH is still king even though we HATE IT Realize that little to NONE of the sources you integrate with though Data was important Expect failures in data – no CDC columns. INSERTS, DELETS, UPDATES, ah, why bother who cares
- You may have great individuals but are they up for the task to deliver the vision? Is that what they were hired for LevelUp story TEAMS WIN, not All Stars
- We had a goal towards our vision 12in12 Some called it the Death March Some said if we do that there will be nothing left for us to do after… Invest in your teams, teach, coach them, mentor, share your strengths and areas of oppertunities – Model the behavior you want to see
- Many sources, many DB’s Tell the story of Trinity
- People & Products we solved for What is the ask, how are they accretive to the vision ? Help set expectations up front Tell the story of Vertica and not setting expectations
- Share your principles Enable your team to use the principles and apply judgment Tell Data Stewardship principles story and external data