Building real-time stream processing pipelines on AWS

September 24, 2019

Share this Video
Facebook
Twitter
Email
LinkedIn

Come explore the options streaming data on AWS, including Amazon Kinesis and Amazon Managed Streaming for Kafka, and the various options for processing streams of data such as Amazon Kinesis Data Analytics. We'll include a demo of a real-time web analytics solution available from the AWS Solutions Portfolio.

Previous Video

Building next generation data lakes, data warehouses, and analytics on AWS

Putting the right data in the hands of users traditionally required a lot of heavy lifting in terms of extr...

Next Video

Machine learning with Amazon SageMaker

Amazon SageMaker enables business outcomes with Machine Learning. In this session we will show you how to g...

Most Recent Videos

3:55

Globetelecom+-+Without+Subs

Building real-time stream processing pipelines on AWS

Previous Video

Next Video

Most Recent Videos

The cloud enables every business to have enterprise-grade security. You don't have to have a dedicated security team to have strong security in the cloud. You can enable your teams to move fast and ma

In addition to providing greater agility, scalability, security, and resilience, AWS’s scale allows customers to run more affordably than what can be achieved with on-premises IT infrastructure. Join

Unstructured data (typically in file format) is a common occurrence in customer environments, where each File server takes time and effort to provision/de-provision to relieve continual maintenance an

Come learn how easy it is to leverage the power of AWS Cloud9, a cloud-based IDE, that lets you write, run, and debug serverless applications directly in your web browser. We combine this with AWS Cod

In this session, we build a simple web app that interacts with a serverless backend through a GraphQL API powered by AWS AppSync. We cover the basics of getting started using React to render a web app

AWS offers purpose-built, managed database services that cover a variety of technologies such as relational, key-value, graph, ledger and document. When building a serverless architecture you can use

Artificial intelligence (AI) is rapidly evolving, and much of the advancement is driven by deep learning, a machine learning technique inspired by the inner workings of the human brain. In this sessio

We show you how Amazon Redshift queries data across your data warehouse and data lake, without the need or delay of loading data, to deliver insights you cannot obtain by querying independent data sil

For the past three years, Singapore Exchange has been exploring the use of blockchain in trading financial assets across a group of institutions. They started by trialling the use of digital currency

Putting the right data in the hands of users traditionally required a lot of heavy lifting in terms of extracting, preparing, staging, securing, and serving information. Learn how you can easily build

Amazon SageMaker enables business outcomes with Machine Learning. In this session we will show you how to get started with Amazon SageMaker, using the AWS Free Tier. You will learn how to label your d

When you deploy your databases on AWS you have a choice of using our compute technology, Amazon EC2, or managed services for different use cases such as Amazon Relational Database Service (RDS) for re

In this session learn how AWS delivers an integrated suite of services that provide everything needed to handle the scale, agility, and flexibility required to combine different types of data and anal