Building an Enterprise Grade Distributed Online Analytics Platform

In this course, you'll develop an understanding for analytics capabilities, and you'll learn how to build a full-blown, wholistic, distributed analytics system using Kafka, Cassandra, Storm, and Elasticsearch.
Course info
Rating
(56)
Level
Intermediate
Updated
May 8, 2017
Duration
3h 46m
Table of contents
Course Overview
Introduction to Online BigData Analytics
Utilizing Apache Kafka as a Data Backbone
Introducing Distributed Computation with Apache Storm
Integrating Apache Cassandra as Our Distributed Database
Gathering Insights with Elasticsearch
Summary
Description
Course info
Rating
(56)
Level
Intermediate
Updated
May 8, 2017
Duration
3h 46m
Description

In this course, Building an Enterprise Grade Distributed Online Analytics Platform, you'll learn how to build a full-blown distributed analytics system using Kafka, Cassandra, Storm, and Elasticsearch. First, you'll begin by understanding what is online analytics and how it differs from offline analytics. You'll further discuss and analyze the parts of a modern online analytics system, including the data backbone, storage, processing, and insight generation. Next, you'll develop an understanding of your choice of technology, its features, and why it was chosen for a specific task. Finally, you'll explore how to properly integrate the technology into your solution in a manner that's most beneficial. Each technology you use will be placed under an observant eye, and you'll see how each technology provides scalability, fault tolerance, and most importantly how it contributes in achieving the functionality you desire. By the end of this course, you'll be ready to immediately enrich your enterprise with amazing analytics capabilities.

About the author
About the author

Kobi Hikri is a self-proclaimed software addict, providing a diverse range of professional software consultancy services for commercial clients worldwide. His commercial client-list spans a diverse range of industries, including: banking, human resource management, textual data analysis, image processing, and forensics. Kobi appreciates simple, elegant software architecture.

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