Data Teams and Big Data Workshop

We conduct a workshop with the managers and executives to talk about Big Data solutions. This workshop considers the technology at a high level. It focuses on the application of technology your business problems. The workshop teaches your team the value of data and how to make money with it. Our workshop help you to reevaluate previously impossible boundaries and think of new streams of revenue made possible by Hadoop and Spark.

We cover what the three required data teams should look like. These data teams are the data science, data engineering, and operations teams. We cover the descriptions, the personnel, and the differences between them.

Duration: 1 day

Intended Audience: Non-technical, Managers, VPs, CxOs

Prerequisites: None

You Will Learn

  • What exists in the Big Data ecosystem so you can use the right tool for the right job.
  • An understanding of how HDFS works and how to interact with it.
  • An understanding of how MapReduce works and how each phase works.
  • Learn how to run successful Big Data projects.
  • See the step by step and iterative methods I teach Fortune 100 companies to use in their Big Data projects.
  • Learn how to use data to become more profitable, productive, and preeminent.
  • Learn about teams themselves and understand the best practices for data teams.

Course Outline

Managing Enterprise Data Strategies

Thinking in Big Data

  Introducing Big Data

  What is Hadoop?

  The Ecosystem

  Introduction to HDFS

  Introduction to MapReduce

Engineering Big Data Solutions

Data Teams

  Introducing the Data Teams

  The Importance of Teams

  Data Engineering Team

  DataOps Team

  Working Together in Data Teams

  Organizational Changes

Conclusion

Q & A

Technologies Covered

  • Apache Hadoop
  • Apache Spark
  • Apache Hive
  • Apache Pig
  • Apache HBase
  • Apache Impala
  • Apache Kafka

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