Apache PIG - 2 years experience 250 INR / Hour

Full course

• Installation
• Data Types
• Modes to Run
• Work on different Operators
• UDFs

Bigdata - 2 years experience 500 INR / Hour

Full course

• Introduction
• Big Data vs RDBMS
• HDFS
• MapReduce
• Pig
• Hive
• Hbase
• Sqoop
• Oozie

ETL Tools - 2 years experience 1000 INR / Hour

Ab Initio - L2 Support Real Time Project

This project is for them who wants to come to L1/L2 support. In this we will cover

• Introduction (Business)
• Architechture
• Roles And Responsibilities of an Individual
• Daily Activities
• Different types of Issues 
• Error Handle and temporary workaround
• Handover to Next Shift
• Other Activities

Flume - 2 years experience 100 INR / Hour

Full course

• Introduction
• Importing

HBase - 2 years experience 250 INR / Hour

Full course

• Introduction
• Installation
• HBase Architecture
• HBase Commands
• HBase Storage Technique
• CRUD

Hadoop - 2 years experience 500 INR / Hour

Full course

• Introduction
• Big Data vs RDBMS
• HDFS
• MapReduce
• Pig
• Hive
• Hbase
• Sqoop
• Oozie

Hive - 2 years experience 250 INR / Hour

Full course

• Introduction
• Installation
• Table Creation
• Internal & External Table
• Partition
• Bucketing
• Data Types
• Functions
• UDF

Impala - 2 years experience 100 INR / Hour

Full course

• Introduction
• Architecture
• Create, Drop Database
• Operations on Tables

Scala - 1 years experience 300 INR / Hour

Full Course

• Learn Scala and its programming implementation
• Why Scala
• Scala Installation
• Get deep insights into the functioning of Scala
• Execute Pattern Matching in Scala
• Functional Programming in Scala – Closures, Currying, Expressions, Anonymous Functions
• Know the concepts of classes in Scala
• Object Orientation in Scala – Primary, Auxiliary Constructors, Singleton, Companion Objects
• Traits and Abstract classes in Scala
• Scala Simple Build Tool – SBT
• Building with Maven

Spark - 1 years experience 400 INR / Hour

Full Course

Spark Basics

• What is Apache Spark?
• Spark Installation
• Spark Configuration
• Spark Context
• Using Spark Shell
• Resilient Distributed Datasets (RDDs) – Features, Partitions, Tuning
  Parallelism
• Functional Programming with Spark.

Working with RDDs

• RDD Operations - Transformations and Actions
• Types of RDDs
• Key-Value Pair RDDs – Transformations and Actions
• MapReduce and Pair RDD Operations
• Serialization

Spark on a cluster

• A Spark Standalone Cluster
• The Spark Standalone Web UI
• Executors & Cluster Manager
• Spark on YARN Framework

Writing Spark Applications

• Spark Applications vs. Spark Shell
• Creating the SparkContext
• Configuring Spark Properties
• Building and Running a Spark Application
• Logging
• Spark Job Anatomy

Caching and Persistence

• RDD Lineage
• Caching Overview
• Distributed Persistence

Improving Spark Performance

• Shared Variables: Broadcast Variables
• Shared Variables: Accumulators
• Per Partition Processing
• Common Performance Issues

Spark API for different File Formats & Compression Codecs

• Text
• CSV
• Sequence
• Parquet
• ORC
• Compression Techniques – Snappy, Zlib, Gzip

 Spark SQL

• Spark SQL Overview
• HiveContext
• SQL Datatypes
• Dataframes vs RDDs
• Operations on DFs
• Parquet Files with Spark Sql – Read, Write, Partitioning, Merging
• Schema
• ORC Files
• JSON Files
• Inferring Schema programmatically
• Custom Case Classes
• Temp Tables vs Persistent Tables
• Writing UDFs
• Hive Support
• JDBC Support - Examples
• HBase Support - Examples

Sqoop - 2 years experience 200 INR / Hour

Full course

• Introduction
• Installation
• Importing
• Advanced Importing
• Exporting

Oozie - 2 years experience 100 INR / Hour

Full course

• Introduction
• Installation
• Running MR job using Oozie
• Running Hive Job using Oozie