Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
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Building a serverless big data application on AWS

Jorge Lopez (Amazon Web Services), Nikki Rouda (Amazon Web Services), Damon Cortesi (Amazon Web Services), Sven Hansen (Amazon Web Services), Manos Samatas (Amazon Web Services), Alket Memushaj (Amazon Web Services)
Monday, 29 April & Tuesday, 30 April, 9:00 - 17:00
Data Engineering and Architecture
 Location: London Suite 3
Secondary topics:  AI and Data technologies in the cloud, Data Integration and Data Pipelines
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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. 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

This training is for you because...

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

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 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.

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Nikki Rouda is a principal product marketing manager at Amazon Web Services (AWS). Nikki has decades of experience leading enterprise big data, analytics, and data center infrastructure initiatives. Previously, he held senior positions at Cloudera, Enterprise Strategy Group (ESG), Riverbed, NetApp, Veritas, and UK-based Alertme.com (an early consumer IoT startup). Nikki holds an MBA from Cambridge’s Judge Business School and an ScB in geophysics from Brown University.

Damon Cortesi is a big data architect at Amazon Web Services, where he helps customers build and deploy data platforms. He spends most of his time exploring the depths of Apache codebases and making data and analytics more accessible. Previously, he was cofounder and CTO of a social analytics startup, where he built the initial data gathering and report generation pipelines and grew the team to over 100 people.

Sven Hansen is a solution architect at AWS focused on helping customers in the financial services domain solve technical and business challenges. He has extensive work experience supporting large enterprises across both sub-Saharan Africa and Europe in areas relating to security, networking and analytics technologies. He holds an MBA from the Heriot-Watt Business School in Edinburgh. He’s also an avid musician and would like to spend more time playing guitar and bass.

Manos Samatas is a solutions architect at Amazon Web Services.

Alket Memushaj is a solutions architect at AWS.

Conference registration

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

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Comments

William Plano | DEVELOPER
4/05/2019 17:06 BST

Hi, I attended this workshop and I’ve just noticed that, despite successfully deleting the cloudformation stack that was used, I still had a SageMaker model/endpoint running at a cost of $7.24 per day sine the workshop. I’ve just deleted it, and I suggest everyone else who was there double checks to see if they have one left behind too.

Guy Maskall | LEAD DATA SCIENTIST
28/04/2019 22:16 BST

I’d be interested in how serverless can integrate with RDS.

Picture of Jorge Lopez
Jorge Lopez | BIG DATA SOLUTIONS
27/02/2019 18:56 GMT

Hi Ivan, thanks for your message. The training will certainly cover streaming data within the context of serverless architectures. For streaming data specifically, we will drill down on Amazon Kinesis. We will also cover other tools for querying and analyzing data within a decoupled, serverless architecture. Hope this answers your question.

Ivan Mijatovic | LEAD BUSINESS INTELLIGENCE SOFTWARE ENGINEER
19/02/2019 20:32 GMT

Hi, I was wondering about details of this training – is it going more to be about how you can create serverless data pipeline in streaming fashion – meaning ingesting events in near-to-real time manner and storing them in different storage/database types for further analysis, or more about how you can use serverless AWS services to create fast responsive applications with microservices, or maybe both of that?