Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
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Building a serverless big data application on AWS

Jorge Lopez (Amazon Web Services), Roy Hasson (Amazon Web Services), Rajeev Chakrabarti (Amazon Web Services), Jesse Gebhardt (Amazon Web Services), Gautam Srinivasan (Amazon Web Services), Anthony Nguyen (Amazon Web Services)
Monday, March 25 & Tuesday, March 26, 9:00am - 5:00pm
Data Engineering & Architecture
 Location: 2018
Secondary topics:  AI and Data technologies in the cloud, Storage
Average rating: ****.
(4.50, 4 ratings)

Participants should plan to attend both days of this 2-day training course. To attend training courses, you must register 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, looking at design patterns to ingest, store, and analyze your data. You'll then 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

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

This training is for you because...

  • You're a big data architect, data analytics professional, or data scientist who wants to learn more about serverless technologies.

Prerequisites:

  • A basic understanding of AWS concepts and technologies
  • Experience with AWS (useful but not required)

Hardware and/or installation requirements:

  • A laptop

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, looking at design patterns to ingest, store, and analyze your data. You’ll then build a big data application using AWS technologies such as S3, Athena, Kinesis, and more.

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 instructors

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

Roy Hasson is a Sr Manager of Global Business Development for Analytics and Data Lakes at Amazon Web Services, where he helps transform organizations using data. Roy serves as an expert resource on big data architectures, data lakes and machine learning. Previously at AWS, Roy served as a Technical Account Manager leading strategy and supporting implementation of data architectures with select customers. Prior to AWS, Roy spent 15 years working with tier 1 service providers to design and deploy large data and telephone network systems.

Principal Developer Advocate for Streaming Services with AWS.

AWS Solutions Architect

Conference registration

Get the Platinum pass or the Training pass to add this course to your package.

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Comments

Riamsalio Phetchareun | SENIOR SOLUTIONS ENGINEER
04/10/2019 2:43am PDT

Hi Jorge, have the slides been posted yet?

Picture of Jorge Lopez
Jorge Lopez | BIG DATA SOLUTIONS
04/01/2019 1:56am PDT

Thanks for the kind comments Kumar. Yes, we will post the slides over the next few days. Thanks!

Kumar Misra | BIG DATA ARCHITECT
03/30/2019 5:34pm PDT

Hello,

Thank you for the great session. Can you please share the slides and the Amazon product stack for Datalake you had shown during the presentation.

Regards

Shiva Naga | SOFTWARE ENGINEER
03/25/2019 2:52am PDT

Do you guys have slides?