First Name

Last Name

Company Name

Country

US State

India State

Postal Code

Phone Number

Job Role

Industry

This information is associated with my:

Compliance Opt-in

Thank you!

Error - something went wrong!

Developer Day 2 - Build Serverless Analytics with Amazon Athena and Tableau

In this session, you will learn how to crawl your data in your Amazon S3 data lake and query your data using standard SQL in a serverless manner using Amazon Athena. This session will also feature how you can integrate popular visualisation tools such as Tableau into your solution for visualisation of you data.

What You Will Learn:
How to crawl your data in your Amazon S3 data lake using AWS Glue to create a data catalog Query your data efficiently with standard SQL using Amazon Athena Hear from our partner, Tableau how you can utilise popular analytics tools to create visualisations of your data to deliver more meaning.

Services:
Amazon S3, Amazon Athena, AWS Glue

Presenter:
Kerry McRae, Solutions Architect, Amazon Web Services

Guest Presenter:
Marina Tranet, Snr. Product Consultant, Tableau

Previous Video

Episode 1: Real-time data processing core concepts and create your first data stream

In this first episode, we will cover the core concepts of real-time data processing. We will create an Amaz...

Next Video

Developer Day 2 - Build an end to end, fully automated inventory forecasting capability with AWS Lake Formation and Amazon Forcast

Overview: In this session you will learn how to build a secure and automated data lake. You will also lear...

Developer Day 2 - Build Serverless Analytics with Amazon Athena and Tableau

Previous Video

Next Video

Related content

The first step in an analytics or machine learning project is to discover and prepare your data to obtain quality results. AWS Glue is a serverless, scalable data integration service that helps you di

Data is the lifeblood of modern applications, and the need for real-time processing and analysis of data is more critical than ever. In this session, we explore how Amazon Kinesis and Amazon Managed S

Why SaaS & DNB businesses run commercial databases on AWS (Level 200)

How Attend Anywhere successfully enabled and supported exponential demand during COVID with Amazon DynamoDB

How Digital Native Business, Beem It, used Amazon DynamoDB to help build a serverless and scalable solution for their new QR code payment platform

(Level 200-300)

Speaker: Gavin Watson, Database Migration Specialist, AWS.

Dive deep into the world of modern applications, learn best practices to modernize your applications, and take your business to the next level.

Learn the power of tooling to assist in data preparation, analysis, visualising data and model validation.

In this session, we will cover data-streaming services available on AWS that will help you implement real-time analytics.

Speaker: Babak Darashte, Head of Data & Analytics Solutions Architecture Asia Pacific & Japan, Amazon Web Services

One of the hallmarks of digital transformation is increased speed and agility. Decisions need to be made quickly using data and algorithms. Increasing search capabilities and observability of digital

Amazon Kinesis Data Analytics is the easiest way to analyze streaming data, gain actionable insights, and respond to your business and customer needs in real time. In this episode, we will cover how t

In this episode we will build an Apache Flink application with Kinesis Data Analytics for Java Applications and we will build dashboard for visualization using Amazon Elasticsearch service.