Become a nimble giant: Gain fast insights with Amazon Elasticsearch Service
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
Episode 4: Building end-to-end stream processing pipeline
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.
Episode 2: Stream data processing with Kinesis Data Firehose and AWS Lambda
In 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
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 Amazon Kinesis Data Streams and populate data on stream by running a producer client program on a
Developer Day 2 - Build Serverless Analytics with Amazon Athena and Tableau
Overview:
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
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