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