Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY

Building your first big data application on AWS

Jorge Lopez (Amazon Web Services), Radhika Ravirala (Amazon Web Services), Paul Sears (Amazon Web Services), Faria Bruno (Amazon Web Services)
1:30pm–5:00pm Tuesday, 09/11/2018
Big data and data science in the cloud, Data engineering and architecture
 Location: 1E 12/13 Level: Intermediate
Average rating: **...
(2.86, 7 ratings)

Who is this presentation for?

  • Big data developers, data scientists, Hadoop developers, data analysts, and business analysts

Prerequisite knowledge

  • Basic familiarity with data warehousing, data analytics, and Hadoop technologies such as Spark
  • Experience with cloud technologies and AWS services (useful but not required)

Materials or downloads needed in advance

  • A laptop

What you'll learn

  • Learn best practices for building big data applications in the cloud
  • Dive deep into architectural design patterns for big data applications
  • Explore available technologies for collecting, storing, processing, and analyzing big data
  • Learn how to choose the right technology based on criteria such as data structure, query latency, cost, request rate, item size, data volume, and durability

Description

Want to learn how to use Amazon’s big data web services to launch your first big data application in the cloud? Jorge Lopez, Radhika Ravirala, Paul Sears, and Bruno Faria walk you through big data processing by building a data bus comprising ingestion, storage, processing, analysis, and visualization using a combination of open source technologies, including Apache Hadoop, Spark, and Zeppelin, and AWS managed services, such as Amazon EMR, Amazon Redshift, Amazon Kinesis, Amazon Athena, and Amazon S3. Along the way, they cover architecture design patterns and best practices for big data applications and give you access to a take-home lab so that you can rebuild and customize the application yourself.

Photo of Jorge Lopez

Jorge Lopez

Amazon Web Services

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.

Photo of Radhika Ravirala

Radhika Ravirala

Amazon Web Services

Radhika Ravirala is a solutions architect at Amazon Web Services, where she helps customers craft
distributed big data applications on the AWS platform. Previously, she was a software engineer and designer for technology companies in Silicon Valley. She holds an MS in computer science from San Jose State University.

Photo of Paul Sears

Paul Sears

Amazon Web Services

Paul Sears is a solutions architect supporting AWS partners in the big data space.

Faria Bruno

Amazon Web Services

Bruno Faria is a senior EMR solutions architect at Amazon Web Services. He spends his time helping customers understand big data application architectures and integration approaches for running those applications in Amazon Web Services.