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Best Big Data Training Institute & Best Big Data Training Institute in Ghaziabad

Big-Data Training Institute in Ghaziabad

GALLANT Info Big Data is an emerging thing that is soon going to overtake the IT industry. The universities are including Big Data and Analytics as the core subject for the computer students. Mostly MNCs are working in this subject currently and are willing to hire highly skilled and knowledgeable Big Data Analysts. GALLANT provide Big Data training institute in Ghaziabad.

Although Big Data is a well known term in the IT industry, still the competition in the subject is quite low. So, there are chances of good scope among the students willing to take Best Big Data training institute in Ghaziabad. One should definitely choose Big Data Hadoop as the career option if he is willing to go for something different and trending in IT industry. Big Data Analysts are in high demand among the MNCs with great salary packages.

What is Big Data?

Hadoop is an open-source programming system that is used to store data to run applications on group of hardware things. Big Data analytics let the marketing companies analyze the digital marketing campaigns and promotional responses. It is widely used by the Ecommerce companies to track the interest of their visitors and plan the promotions accordingly.

Benefits of Big Data Training:

  • You will get certified and will be handpicked by the MNCs as the Big Data Analyst.
  • Competition is less in the field currently.
  • You will get a start with great salary package.
  • There will be a great scope of Big Data in the future.

Why GALLANT is Big Data training in Ghaziabad ?

  • We have tie-ups with MNCs that are currently working on Big Data technology.
  • We have dedicated placement cell for recruitment of our students.
  • We have skilled and experienced big Data trainers who have worked in the same industry.
  • We organize doubt clearing sessions other than regular classes.
  • We have lab facility available to implement the theoretical concepts.

GALLANT Info is best Big Data training centre in Ghaziabad that offers job assistance to the students.

Introduction to Hadoop and BIG Data
  • what is big data ?
  • what are the challenges for processing big data ?
  • what technologies support big data ?
  • History of Hadoop
  • Why we need Hadoop
  • Use Cases of Hadoop
  • RDBMS VS Hadoop
  • Hardware recommendations & statistics
  • HDFS And Map Reduce
Hadoop Framework Architecture
  • Block
  • Rack
  • Name Node
  • Data Node
  • Job Tracker
  • Task Tracker
  • Map Reduce
  • Hadoop File system (HDFS)
Starting with Hadoop and Hadoop Program Building
  • Apache Hadoop
  • Hadoop Requirement
  • Get Hadoop in your PC
  • Design Control Flow
  • Mapper
  • Reducer
  • Introduction to apache pig
  • Pig installation and configuration
  • Map reduce vs apache pig
  • Different data types in pig
  • Modes of execution in pig
  • Grunt shell
  • loading data
  • exploring pig
  • Writing Simple Pig Programs
Pig Advanced
  • Writing Complex Pig Programs
  • User Defined Functions in Pig
  • Optimization in Pig
  • Hive introduction
  • Hive Installation And Configuration
  • Writing Simple to Complex Hive Queries
  • Hive vs RDBMS
  • What is HBase
  • HBase Installation And Configuration
  • Understand the Basics of HBase
  • HBase Vs RDBMS
  • HBase– A Practical Approach
  • What is Sqoop
  • Sqoop Installation And Configuration
  • Understand the Basics of Sqoop
  • Import And Export in Sqoop
  • Sqoop– A Practical Approach
  • What is ZooKeeper
  • ZooKeeper Installation And Configurationt
  • Understand the Basics of ZooKeeper
  • Administration through ZooKeeper.
Hadoop Administration
  • WEB UI
  • Administer Map Reduce
  • Administer Name Node
  • Administer Data Node
  • Administer Job Tracker
  • Administer Task Tracker
  • Remove Node
  • Assign Node
  • Scheduling and Debugging Job
Built up over Hadoop
  • Ambari
  • Avro
  • Spark
  • Chukwa
  • Mahout
  • Cassandra
  • Data Warehousing
  • Mining
Hadoop in-Depth
  • A Very Close Lookout
  • Performance Tuning in Hadoop

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