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.
What you learn in Episode 4:
Who should attend:
Developers, DBAs, IT Pros, Architects, Data Engineers, Data Analysts
12:22How Attend Anywhere successfully enabled and supported exponential demand during COVID with Amazon DynamoDB
16:59How Digital Native Business, Beem It, used Amazon DynamoDB to help build a serverless and scalable solution for their new QR code payment platform
1:48:48Dive deep into the world of modern applications, learn best practices to modernize your applications, and take your business to the next level.
24:50Learn the power of tooling to assist in data preparation, analysis, visualising data and model validation.
32:13In this session, we will cover data-streaming services available on AWS that will help you implement real-time analytics.
16:41Speaker: Babak Darashte, Head of Data & Analytics Solutions Architecture Asia Pacific & Japan, Amazon Web Services
50:17One 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
32:38Amazon 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
59:34In this episode, we will cover how to do serverless stream processing with AWS Lambda and how to ingest data to Amazon S3 using Amazon Kinesis Data Firehose delivery stream. What you learn in Episo
36:44In this first episode, we will cover the core concepts of real-time data processing. We will create an Amazon Kinesis Data Streams and populate data on stream by running a producer client program on a
25:42Overview: 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
