Ultimate Guide to Data Streaming with AWS Kinesis

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 3.28 GB | Duration: 7h 8m

Learn to build event driven systems and insights based on real-time analytics
What you'll learn
Collect, Process and, Analyze Data in Real-Time with AWS Kinesis
Real-Time Data Analytics
Kinesis Data Streams
Kinesis Data Firehose
Kinesis Data Analytics for SQL
Kinesis Data Analytics for Apache Flink
Pub/Sub Message Processing
Harness the Power of Kinesis Stream Processing in both Java and Python

Description
Real-time streaming technologies are growing in popularity among the many technological drivers of business innovation because users are increasingly demanding personalized experiences which adapt and respond to them based on their journey through digital products and services. The AWS Kinesis suite of stream persistence and processing services have come to be recognized as first class choice for achieving the kinds of event driven architectures feeding into real-time analytics.

In this course students learn to harness the power of Kinesis Data Streams (KDS) and Kinesis Data Firehose (KDF) to construct high-throughput, low latency, pipelines of data across a variety of architectural components leading to scalable and loosely coupled systems. Additional focus is placed on how these stream persistence technologies are used in conjunction with Kinesis Data Analytics to perform advanced, real-time, computations which drive informed business actions and insights.

The course goes beyond the theory of what these services are, making heavy use of demonstrations and code walkthroughs to give examples of how these technologies are used in practice. Most code examples are demonstrated in parallel using both the Python and Java programming languages in an effort to reach the largest audience of developers. However, some examples are presented only in one language in cases where either one language doesn't support a particular functionality or is significantly less complex to demonstrate.

Who this course is for:
Software Developers, Software Engineers, Data Engineers and Data Analysts interested in Data Streaming in AWS Cloud
People with strong desire to learn real-time streaming analytics and event driven systems with AWS Kinesis