4.13 out of 5
4.13
8 reviews on Udemy

Master Big Data Hadoop

Learn A to Z of Big Data, Hadoop, HDFS, MapReduce, Hive, Pig, Kafka, Lambda Architecture w/ Real World Examples.
Instructor:
Devansh Varshney
240 students enrolled
English [Auto-generated]
You will know mostly every APACHE tool and Big Data and Hadoop.
Understand how MapReduce, Hive and Pig can be used to analyze big data sets
Understand complex architectures of Hadoop and its component
Understand what Hadoop is for, and how it works
Understand modern data architecture
Understand Big systems data Life Cycle
Understand commercial Hadoop distributions

In this course we will explore what Big Data is? What Hadoop is? and everything that comes under in Big Data in minimum time. The main goal of this course is to help you understand the Complex Architectures of Hadoop and its components. 

It covers everything what you need to master Big Data. You will learn about Big Data market, Big data systems life cycle, Commercial Hadoop distributions, use of Big Data in Business, technology trends, HDFS, Hadoop Ecosystem, Hive,  and Pig. In this course, we will see how as a beginner one should start with Hadoop. We will understand with a lot of hands-on examples which will help you to learn Hadoop quickly.

Become an EXPERT and learn what & how Big Data is changing the world.

The course focuses on-

  • What Big data is? 
  • In-memory technology 

    • What is In-memory database (IMDB)? 
      • Hardware technology advances adopted for In-memory system
        • Software technology advances adopted for In-memory systems 
  1.  Data compression 
  2. No aggregate tables 
  3. Insert-only tables 
  4. Column, row, and hybrid storage 
  5. Partitioning 
  • What are NoSQL databases? 

    • Benefits of NoSQL
  • Data visualization
    • Data visualization application 
  • Data science

HADOOP ECOSYSTEMS

  • Big data Hadoop ecosystems 

    Inbuilt tools and capabilities in Hadoop ecosystem 

Big data clusters 

  • Usage of Hadoop big data cluster 
  • High availability 
  • Load balancing 
  • High availability and load balancing 
  • Distributed processing and parallel processing 
  • Hadoop big data cluster nodes 
    • Types of nodes and their roles
  • Commercial Hadoop distributions 
    • Hadoop Cloudera enterprise distribution  
    • A Hadoop Hortonworks framework
    • A Hadoop MapR framework
    • Pivotal Hadoop platform HD Enterprise 
    • A Hadoop ecosystem on IBM big data 
    • A Hadoop ecosystem on AWS
    • Microsoft Hadoop platform is HDInsight hosted on Microsoft Azure
  • Capacity planning for systems 

    • Guideline for estimating and capacity planning 
    • Cluster-level sizing estimates


Comming Soon:

 Building Big Data Applications

Introduction to Big Data

1
Introduction to Big Data
2
Four V's of Big Data
3
What is In-Memory database?
4
NoSQL DataBases
5
Data Visualization in Big Data
6
Role of Data Science in Big Data

Hadoop Ecosystems

1
An introduction to Hadoop
2
What are Hadoop Clusters?
3
Usage of Big Data Clusters
4
What Big Data Cluster Nodes are?
5
Commercial Hadoop Distributitions
6
Cloudera Preview
7
Cloudera part 1
8
Cloudera part 2
9
Cloudera part 3
10
Cloudera part 4
11
HortonWorks Trailer
12
Hortonworks
13
MapR Trailer
14
Hadoop MapR Framework
15
Pivotal HD Enterprise Trailer
16
Pivotal HD Enterprise
17
IBM BigInsights Trailer
18
IBM BigInsights
19
Microsoft Hadoop platform is HDInsight hosted on Microsoft Azure
20
A Hadoop ecosystem on AWS

Building Big Data Applications

1
Coming Soon: Traditional enterprise architecture
2
Coming Soon: Principles to build big data enterprise applications
3
Coming soon: Big data systems life cycle
4
Coming soon: Building enterprise applications with Spark
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Includes

3 hours on-demand video
6 articles
Full lifetime access
Access on mobile and TV
Certificate of Completion