Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA

Building your first big data application on AWS

Jorge Lopez (Amazon Web Services), Radhika Ravirala (Amazon Web Services), Paul Sears (Amazon Web Services), Ryan Nienhuis (Amazon Web Services), Randy Ridgley (Amazon Web Services)
9:00am12:30pm Tuesday, March 6, 2018
Average rating: ****.
(4.50, 2 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 patters 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


Want to learn how to use Amazon’s big data web services to launch your first big data application in the cloud? Jorge Lopez walks 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, Jorge covers architecture design patterns and best practices for big data applications and gives 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.

Photo of Ryan Nienhuis

Ryan Nienhuis

Amazon Web Services

Ryan Nienhuis is a senior technical product manager on the Amazon Kinesis team, where he defines products and features that make it easier for customers to work with real-time, streaming data in the cloud. Previously, Ryan worked at Deloitte Consulting, helping customers in banking and insurance solve their data architecture and real-time processing problems. Ryan holds a BE from Virginia Tech.

Photo of Randy Ridgley

Randy Ridgley

Amazon Web Services

Randy Ridgley is a Solutions Architect on the Amazon Web Services Public Sector team. Previously, Randy worked for Walt Disney World in Orlando as the Principal Application Architect on their MagicBand platform, improving guest experience and cast coordination by building big data solutions based on AWS services. He has over 15 years of experience in the fields of Media & Entertainment, Casino Gaming and Publishing building real time streaming and big data analytics applications.