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Building an Enterprise Grade Distributed Online Analytics Platform

Course Summary

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.


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    Course Syllabus

    Course Overview
    - 1m 49s

    —Course Overview 1m 49s
    Introduction to Online Big Data Analytics
    - 52m 17s

    —Introduction 2m 16s
    —So What Is Big Data Analytics? 3m 27s
    —Differentiating Offline Analytics from Online Analytics 6m 22s
    —The Roles Portrayed in an Online Analytics System 1m 42s
    —The Data Backbone 2m 16s
    —Demo - A Naive Data Backbone 6m 29s
    —A Naive Data Backbone - Maybe Too Naive? 2m 16s
    —The Data Backbone - Recap 0m 53s
    —The Computation Role 3m 45s
    —Demo - The Computation Layer 4m 13s
    —Naive Implementation - The Missing Parts 1m 49s
    —The Computation Role - Recap 0m 58s
    —The Storage Role 2m 46s
    —Demo - The Storage Layer 1m 43s
    —Naive Implementation - The Familiar Missing Parts 0m 48s
    —The Insights Engine Role 1m 58s
    —Demo - The Insights Engine Role 3m 19s
    —Naive Implementation - Far from Perfect 0m 49s
    —A Word About Boundaries 0m 48s
    —Our Requirements from an Online Analytics Platform 1m 34s
    —Summary 1m 57s
    Utilizing Apache Kafka as a Data Backbone
    - 44m 53s
    Introducing Distributed Computation with Apache Storm
    - 42m 25s
    Integrating Apache Cassandra as Our Distributed Database
    - 37m 25s
    Gathering Insights with Elasticsearch
    - 32m 17s
    Summary
    - 15m 40s


Course Fee:
USD 29

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

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