Webcom Technologies proposes a new course: Hadoop. Hadoop is a type of software designed to organise and process the clusters of complex data. Through a single server, thousands of machines can be used for storage. Big Data Hadoop is the latest trend in the information technology world. Every time when you like a status in Facebook, comment on someone’s photo, tweet about something upload a video etc., do you realize that you are adding to the bundles of big data? It seem, 90% of the world’s data today is created within the span of just 2 years and Big Data is growing bigger and bigger every day. Big data is the collection of large and complex sets of data and files. These large collections of complex data cannot be organized or managed by regular tools and therefore, there is Hadoop.
Following are the courses and its content proposed by Webcom Technologies.
HADOOP COURSE CONTENTS
Introduction:
A. Distributed computing
B. Cloud Computing
C. Data Past, Present and Future
D. Computing Past, Present and Future
E. Hadoop
F. NoSQL
UNDERSTANDING HADOOP STACK
A. MapReduce
B. NoSQL
C. CAP Theorem
D. Databases: Key Value, Document,
E. Graph
F. HBase and Cassandra
G. Hive and Pig
H. HDFS
UNDERSTANDING DATA
A. Data collection and generation
B. Data Storage C. Data Retrieval
D. Random Access vs. Sequential Access
E. Disk is the new Tape – The Return of
F. sequential access to data
HANDS ON HADOOP
A. Hadoop Setup Single Node
B. Cluster Nodes
C. HDFS File System
D. HBase Setup
E. HBase Shell
HANDS ON TO DATA
A. Working on Twitter Data
B. Importing data into HBase
C. Querying using HBase CLI
D. Understanding data organization
E. Hbase Internals
F. Exercise: Solving various query using
G. scan and get
INTRODUCTION TO HBASE
A. Unlearning SQL
B. Learning NoSQL
C. Creating Table
D. Understanding Column Families
E. Unlearning Entity Relation
F. Learning Column Value & Key Pair
G. Unlearning Index & Query
H. Learning Scan and Scan Only
INTRODUCTION TO HIVE
A.Introduction to Pig
B. Looking Data as large sparse matrix
C. Applying BI on large data
D. Exercise: Working with Twitter data
E. Exercise: Working with Facebook data
HADOOP COURSE CONTENTS
Introduction:
A. Distributed computing
B. Cloud Computing
C. Data Past, Present and Future
D. Computing Past, Present and Future
E. Hadoop
F. NoSQL
UNDERSTANDING HADOOP STACK
A. MapReduce
B. NoSQL
C. CAP Theorem
D. Databases: Key Value, Document,
E. Graph
F. HBase and Cassandra
G. Hive and Pig
H. HDFS
UNDERSTANDING DATA
A. Data collection and generation
B. Data Storage C. Data Retrieval
D. Random Access vs. Sequential Access
E. Disk is the new Tape – The Return of
F. sequential access to data
HANDS ON HADOOP
A. Hadoop Setup Single Node
B. Cluster Nodes
C. HDFS File System
D. HBase Setup
E. HBase Shell
HANDS ON TO DATA
A. Working on Twitter Data
B. Importing data into HBase
C. Querying using HBase CLI
D. Understanding data organization
E. Hbase Internals
F. Exercise: Solving various query using
G. scan and get
INTRODUCTION TO HBASE
A. Unlearning SQL
B. Learning NoSQL
C. Creating Table
D. Understanding Column Families
E. Unlearning Entity Relation
F. Learning Column Value & Key Pair
G. Unlearning Index & Query
H. Learning Scan and Scan Only
INTRODUCTION TO HIVE
A.Introduction to Pig
B. Looking Data as large sparse matrix
C. Applying BI on large data
D. Exercise: Working with Twitter data
E. Exercise: Working with Facebook data
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