» » » Developing Stream Processing Applications with AWS Kinesis
Information to the news
  • Views: 0
  • Author: sddd
  • Date: 9-05-2018, 03:41
9-05-2018, 03:41

Free Download Developing Stream Processing Applications with AWS Kinesis

Category: Tutorials / Other Tutorial

Developing Stream Processing Applications with AWS Kinesis
Developing Stream Processing Applications with AWS Kinesis
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3.5 Hours | 620 MB
Genre: eLearning | Language: English

AWS Kinesis is a powerful, real-time, elastic, reliable service for stream processing. This course will teach you how to build stream processing applications using AWS Kinesis, stream processing services, and Big Data frameworks.
The landscape of the Big Data field is changing. Previously, you could get away with processing incoming data for hours or even days. Now you need to do it in minutes or even seconds. These challenges require new solutions, new architectures, and new tools. In Developing Stream Processing Applications with AWS Kinesis, you will learn the ins and outs of AWS Kinesis. First, you will learn how it works, how to scale it up and down, and how to write applications with it. Next, you will explore how to use a variety of tools to work with it such as Kinesis Client Library, Kinesis Connector Library, Apache Flink, and AWS Lambda. Finally, you will discover how to use more high-level Kinesis products such as Kinesis Firehose and how to write streaming applications using SQL queries with Kinesis Analytics. When you are finished with this course, you will have an in-depth knowledge of AWS Kinesis that will help you to build your streaming applications.

Developing Stream Processing Applications with AWS Kinesis

Download link :
(If you need these, buy and download immediately before they are delete)
Links are Interchangeable - Single Extraction - Premium is support resumable
Dear visitor, you entered the site as an unregistered user.
We recommend you to register or login to the website using your name.

Tags

News archive

^