Bigdata Online for Intermediate trainees by Satori Technologies and Solutions Private Limited

Big Data
Big Data Analytics introduction
Big Data overview
What is a data scientist?
What are the roles of a data scientist?
Big Data Analytics in industry
Data analytics lifecycle
Data Discovery
Data Preparation
Data Model Planning
Data Model Building
Data Insights
Data Analytic Methods Using R
Introduction to R
Analyzing and Exploring the Data
Model Building and Evaluation
Machine learning-Theory and Methods
Introduction to analytics for unstructured data-Map Reduce and Hadoop
Sample analytics project
Creating final deliverables
Hadoop Developer
Course content:
Big Data:
What is Big Data Traditional Distributed Systems
Why Big Data? Problems with traditional distributed systems
Characteristics of Big Data What is Hadoop
How did data become so big History of Hadoop
Why should you care about Big Data? How does Hadoop solve Big Data problem
Use Cases of Big Data Analysis Components of Hadoop
What are possible options for analyzing big
data?
What is HDFS?
Linux & BASIC commands for Hadoop :
HDFS Architecture:
Using HDFS Files Hadoop-Specific File Types
High Availability
MAP-REDUCE:
What is Map reduce? How Map reduces works?
How Hadoop works as a system?
THE HADOOP ECOSYSTEM:
Pig
What is Pig?
How it works?
Flume
What is Flume?
How it works
Hive
What is Hive?
How it works
Sqoop
What is Sqoop
How it works
Apache Solr
What is Solr
How it works
Oozie
What is Oozie
How it works
HDFS -The Hadoop Distributed File system:
Design of HDFS Reading Data from a Hadoop URL
HDFS Concepts Reading Data Using the File System API
Blocks, Interfaces Writing Data
Name nodes and Data nodes Directories
The Command-Line Interface Querying the File system
Basic File system Operations HDFS in detail
Hadoop File systems Tuning a Job
Hadoop clusters:
Single Mode How to Plan Hadoop cluster?
Pseudo Distributed mode Considerations for setting up Hadoop Cluster
Multimode Software & Hardware considerations
SSH -passwodless login Other considerations
Map-Reduce:
Map Reduce in details Running first Map Reduce Program
Streaming API:
Python Perl
Driver, Mapper & Reducer:
How it works? Coding stuffs
Deeper into Map Reduce:
API Distributed Cache
Combiners Understanding Counters
Partitioners Common Map reduce patterns
Input formats Sorting Searching
Output formats Inverted Indexes
Hive:
Installing Hive Tables
Hive Shell Managed Tables and External Tables
Running Hive Partitions and Buckets
Configuring Hive Storage Formats
The Metastore Importing Data
Comparison with Traditional Databases Altering Tables
HiveQL Dropping Tables
Data Types Querying Data
Operators and Functions Sorting and Aggregating
Joins
Pig:
Installing and Running Pig Structure
Execution Types Statements
Running Pig Programs Expressions
Grunt Types
Pig Latin Editors Schemas
Comparison with Databases Functions
Pig Latin
UDF Pig & Hive?
Writing a UDF Distributed Cache in UDF
Writing a UDAF
NOSQL -Cassandra /Mongo DB or HBASE:
Introducing Cassandra
/Mongo DB or HBASE
Design Differences between
RDBMS and Cassandra
Cassandra Hadoop Source
Package
Whats wrong with Relational
Databases?
Wide Rows, Skinny Rows No Referential Integrity
A Quick Review of Relational
Databases
Running the Word Count
Example
Sorting Is a Design Decision
The Cassandra Data Model Columns Integrating Hadoop
Clusters Column Sorting Working with Map Reduce
Key spaces Super Columns
Column Families Composite Keys Secondary Indexes
Column Family Options No Query Language Outputting Data to Cassandra
Hadoop Streaming:
Pig Hive
Advanced Hadoop Concepts
Yarn