Sep 23–26, 2019
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Solve tomorrow’s business challenges with a modern data warehouse (sponsored by Matillion)

Daniel D'Orazio (Matillion)
4:35pm5:15pm Wednesday, September 25, 2019
Location: 1E 17

According to Forrester, insight-driven companies are on pace to make $1.8 trillion annually by 2021. Daniel D’Orazio wants to know how fast your team can collect, process, and analyze data insights to help solve present—and future—business challenges.

For data engineers and technical leaders that need to tailor the data warehouse to suit analytics needs, integrate existing data with semistructured and unstructured data, and improve workload management, Daniel explores lessons learned from cloud data warehouse modernizations that you can take back to your business.

You’ll learn why modernizing your data warehouse will provide your business with the competitive advantage needed to scale your data efforts; real-life use cases for data transformation, data migration, and ingestion from companies like DocuSign, Clutch, and others; and actionable tips and best practices for automating your data workflows and future-proofing your cloud data management strategy.

This session is sponsored by Matillion.

What you'll learn

  • Learn how to future-proof your company using insight and data
Photo of Daniel D'Orazio

Daniel D'Orazio


Dan D’Orazio is a skilled problem-solver and data enthusiast with eighteen years of experience working across various industries. Dan is a Solution Architect at Matillion, an ETL tool purpose-built for cloud data warehouses, where he supports customers and internal teams with his technical know-how and expert communication skills. Prior to that, he worked as a data engineer to help solve complex business problems for internal and external stakeholders.

Dan enjoys a wide variety of activities, from working on cars, brewing beer, fishing, carpentry, and just about everything in between. Originally from Buffalo, NY, he now lives in Denver, Colorado, with his family of five.

  • Cloudera
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  • Intel
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  •, Inc.
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  • Pitney Bowes
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  • Confluent
  • DataStax
  • Dremio
  • Immuta
  • Impetus Technologies Inc.
  • Keyence
  • Kyvos Insights
  • StreamSets
  • Striim
  • Syncsort
  • SK holdings C&C

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