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Spotlight on Data: Self-Service Data—Reliable Data Pipelines at Intuit with Sandeep Uttamchandani

An interactive case study

Sandeep Uttamchandani

There’s no scarcity of raw data within enterprises. So why can’t analysts and data scientists generate insights fast enough to keep up with business needs? Extracting insights depends on data engineering and source teams to ingest, clean, catalog, debug, and deploy, slowing down the overall process. One solution: make the data platform self-serve for analysts and data scientists. And Intuit is doing just that.

Join us for this edition of Spotlight on Data as Sandeep Uttamchandani gives an overview of the self-service design patterns and frameworks Intuit has built to expedite time to reliable insights—its metric of success. You’ll learn how the company uses circuit breakers in data pipelines to make data availability in dashboards a function of the data quality, radically reducing debugging time.

O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. You’ll engage in a live conversation with experts, sharing your questions and ideas while hearing their unique perspectives, insights, fears, and predictions for the future.

In every edition of Spotlight on Data, you’ll learn about, discuss, and debate the tools, techniques, questions, and quandaries in the world of data. You’ll discover how successful companies leverage data effectively and how you can follow their lead to transform your organization and prepare for the Next Economy.

What you'll learn-and how you can apply it

By the end of this live show, you’ll better understand:

  • Intuit's success metric, time to reliable insights
  • How Intuit has built an internal self-service data platform for analysts and data scientists

This training course is for you because...

  • You're a data scientist, data engineer, or data analyst in need of more efficient and reliable data pipelines.

Prerequisites

  • Come with your questions for Sandeep Uttamchandani
  • Have a pen and paper handy to capture notes, insights, and inspiration

Recommended follow-up:

About your instructor

  • Sandeep Uttamchandani is the hands-on chief data architect and head of data platform engineering at Intuit, where he leads the big data analytics, ML, and transactional platform used by 4M+ small business users for financial accounting, payroll, and billions of dollars in daily payments. Previously, Sandeep held engineering roles at VMware and IBM and founded a startup focused on ML for managing enterprise systems. Sandeep’s experience uniquely combines building enterprise data products and operational expertise in managing petabyte-scale data and analytics platforms in production for IBM’s federal and Fortune 100 customers. Sandeep has received several excellence awards, has over 40 issued patents, and has authored 25 publications for key systems conferences such as VLDB, SIGMOD, CIDR, and USENIX. He’s is a regular speaker at academic institutions and conducts conference tutorials for data engineers and scientists. Sandeep is the cochair of the SF CDO Executive Summit, an advisory board member to multiple startups, and a panelist for a number of conferences. He holds a PhD in computer science from the University of Illinois at Urbana-Champaign.

Schedule

The timeframes are only estimates and may vary according to how the class is progressing

Monday, September 16, 2019 at 10:00am PT / 1:00pm ET

  • Introduction and presentation (15 minutes)
  • Interactive discussion and Q&A (45 minutes)