Sep 23–26, 2019

Building a serverless big data application on AWS

Jorge Lopez (Amazon Web Services)

Participants should plan to attend both days of training course. Note: to attend training courses, you must be registered for a Platinum or Training pass; does not include access to tutorials on Tuesday.

Serverless technologies let you build and scale applications and services rapidly without the need to provision or manage servers. Join in to learn how to incorporate serverless concepts into your big data architectures. You'll explore design patterns to ingest, store, and analyze your data as you build a big data application using AWS technologies such as S3, Athena, Kinesis, and more.

What you'll learn, and how you can apply it

  • Understand serverless concepts and best practices for designing serverless analytic applications
  • Explore design patterns for ingesting, collecting, storing, analyzing, and visualizing big data
  • Learn how to build a serverless data pipeline using technologies such as Amazon S3, Amazon Athena, Amazon Kinesis, AWS Glue, AWS Lambda, and Amazon QuickSight

Who is this presentation for?

  • You're a big data architect.
  • You're a data analytics professional.
  • You're a data scientist.

Level

Intermediate

Prerequisites:

  • A basic understanding of Amazon Web Services concepts
  • Experience using AWS tools (useful but not required)

Hardware and/or installation requirements:

  • A laptop

Outline

  • Intro to big data on AWS
  • Serverless concepts and design patterns
  • Data collection and storage, including streaming data
  • Preparing your data for analytics: Data transformations and ETL patterns
  • Querying your data
  • Visualizing data

About your instructor

Photo of Jorge Lopez

Jorge A. Lopez works in big data solutions at Amazon Web Services. Jorge has more than 15 years of business intelligence and DI experience. He enjoys intelligent design and engaging storytelling and is passionate about data, music, and nature.

Twitter for zanilli

Conference registration

Get the Platinum pass or the Training pass to add this course to your package. Best Price ends June 28

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