Dive deep into the world of modern applications, learn best practices to modernize your applications, and take your business to the next level.
What you’ll learn:
35:23The 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
26:52Data 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
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
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
27:51In 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.
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
