Sep 23–26, 2019
Jesse Anderson

Jesse Anderson
Managing Director, Big Data Institute

Website | @jessetanderson

Jesse Anderson is a data engineer, creative engineer, and managing director of the Big Data Institute. Jesse trains employees on big data—including cutting-edge technology like Apache Kafka, Apache Hadoop, and Apache Spark. He’s taught thousands of students at companies ranging from startups to Fortune 100 companies the skills to become data engineers. He’s widely regarded as an expert in the field and recognized for his novel teaching practices. Jesse is published by O’Reilly and Pragmatic Programmers and has been covered in such prestigious media outlets as the Wall Street Journal, CNN, BBC, NPR, Engadget, and Wired. You can learn more about Jesse at Jesse-Anderson.com.

Sessions

9:00am - 5:00pm Monday, September 23 & Tuesday, September 24
Location: 1E 06
Jesse Anderson (Big Data Institute)
Jesse Anderson offers you an in-depth look at Apache Kafka. You'll learn how Kafka works and how to create real-time systems with it, as well as how to create consumers and publishers. You'll take a look Jesse then walks you through Kafka’s ecosystem, demonstrating how to use tools like Kafka Streams, Kafka Connect, and KSQL. Read more.
Location: 1E 06
2:55pm3:35pm Wednesday, September 25, 2019
Location: 1A 21/22
Jesse Anderson (Big Data Institute)
In this talk, we will cover the most common reasons why data engineering teams fail and how to correct them. This will include ways to get your management to understand that data engineering is really complex and time consuming. It is not data warehousing with new names. Management needs to understand that you can’t compare a data engineering team to the web development team, for example. Read more.
  • Cloudera
  • O'Reilly
  • 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
  • Infoworks.io, 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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