Sep 23–26, 2019
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Clean the swamp: Gain greater visibility, speed, and governance with data ops (sponsored by Hitachi Vantara)

Chuck Yarbrough (Hitachi Vantara)
4:35pm5:15pm Wednesday, September 25, 2019
Location: 1A 03
Average rating: ***..
(3.00, 2 ratings)

According to Gartner, over 80% of data lake projects were deemed inefficient. Data lakes come and go. Swamps happen. Data agility is fleeting. Welcome to the new era of modern data lakes.

Chuck Yarbrough walks you through modern data lake architecture and data ops, the data practice which, when used with AI and ML, can help you manage and care for modern data lakes, make the right data available in the right place at the right time, and guarantee the delivery of valuable insights and predictions.

You’ll investigate underlying technology trends such as cloud and object storage and discover how customers have improved analytics, governance, and operational agility with DataOps practices like automation, collaboration, and policy-based controls. Chuck also examines real-world data lakes to see how they accelerate digital innovation within the world’s largest companies.

This session is sponsored by Hitachi Vantara.

What you'll learn

  • Learn how to use data ops to manage and care for your data lakes
Photo of Chuck Yarbrough

Chuck Yarbrough

Hitachi Vantara

Chuck Yarbrough is vice president of solutions marketing and management at leading IoT and big data analytics company Hitachi Vantara, where he’s responsible for creating and driving repeatable solutions that leverage Hitachi Vantara’s Pentaho platform, enabling customers to implement IoT and big data solutions that transform companies into data-driven enterprises. Chuck has more than 20 years of experience helping organizations use data to ensure they can run, manage, and transform their business through better use of data. Previously, Chuck held leadership roles at Deloitte, SAP, and Hyperion.

  • Cloudera
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  • Google Cloud
  • IBM
  • Cisco
  • Dataiku
  • Intel
  • Io-Tahoe
  • MemSQL
  • Microsoft Azure
  • Oracle Cloud Infrastructure
  • SAS
  • Arcadia Data
  • BMC Software
  • Hazelcast
  • SAP
  • Amazon Web Services
  • Anaconda
  • Esri
  •, Inc.
  • Kyligence
  • Pitney Bowes
  • Talend
  • Google Cloud
  • Confluent
  • DataStax
  • Dremio
  • Immuta
  • Impetus Technologies Inc.
  • Keyence
  • Kyvos Insights
  • StreamSets
  • Striim
  • Syncsort
  • SK holdings C&C

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