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TDWI Chicago Conference

W6P Big Data Engineering Fundamentals - The New In-Demand Analytics Role

May 1, 2019

2:15 pm - 5:30 pm

Duration: Half Day Course

Prerequisite: None

As the adoption of AI technologies becomes the focus for an increasing number of organizations, supporting countless real-world applications, so does the need for the right talent with the right skills. Although there has been a lot of hype within the big data community around the data scientist shortage recently, there has been lots of excitement about a potentially even bigger shortage of another analytics role—the data engineer.  Data engineering is one of the most critical and foundational skills in any data science team. This session will mainly focus on fundamentals of data engineering and big data components and principles. It will also clarify the most important differences between data scientists and data engineers, including the responsibilities, tools, skills, salaries, and job outlook, which you can use to get started with a data engineering career or use to hire a top-notch data engineer.

You Will Learn

  • How data engineering relates to data science
  • The data engineer role and responsibilities
  • Data engineering components, skill and tools
  • Definitions, concepts, and terminology of big data ecosystem
  • Hadoop and distributed processing fundamentals
  • Components of the big data framework
  • Practical guidance for getting started with data engineering

Geared To

  • Anyone looking to understand big data ecosystem and data engineering
  • BI and analytics executives, program managers, architects, and project managers
  • IT directors, IT professionals, data architects
  • Data-driven business professionals who want to learn how to become or hire a data engineer
  • Professionals who want to develop their understanding of the big data framework
  • Anyone interested in learning the basics of big data and data engineering and how it can drive business improvement

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TDWI Chicago

Hilton Chicago
Chicago, IL
April 28–May 3