Description

The Course is conducted in the area of Big Data, Hadoop and Spark give the very good experience which is according to the current industry requirement. The Course talks about Big Data and how it is used to create business value in the industry. The Hadoop Framework is explained well with its components – HDFS, MapReduce, Sqoop, Hive, Impala, Pig, Flume and HBase. All components will be studied with industry requirements and hands-on with the scenarios used in the current industry. The Spark which is currently trending Big Data computing Framework which is used for batch processing and as well as Real-Time Data processing is studied with its industrial applications along with its internal working architecture.

The Course is conducted by industry and technology experts which aimed to give more exposure to hands-on with industry applications. The Course materials along with Interview experience will be given to the candidates taking the course

What will I learn?

  • Use Pig and Spark to create scripts to process data on a Hadoop cluster in more complex ways
  • The Hadoop Framework is explained well with its components – HDFS, Map Reduce, Sqoop, Hive, Impala, Pig, Flume and HBase.

Specifications

  • Free Demo
  • Missed Class Recovery
  • Certification by Institute
  • Instalment Facility
  • CV Tailoring
  • Interview Training

Big Data Hadoop Spark

  • Introduction to Big Data
  • Sources of Big Data
  • Data Sizes
  • Spark Ecosystem
  • MapReduce
  • YARN
  • Map Reduce
  • File Format Types
  • Sqoop
  • Hive
  • Impala
  • Pig
  • Flume
  • HBase
  • Spark and Scala
  • RDDs
  • Spark Algorithms, GraphX
  • Machine Learning
  • Spark SQL

Mr.Somashekhar B

  • 18+ Years of experience in IT Industry
  • 3+ Years of experience in Training for resources in Big data, Hadoop, Spark, Python, Machine Learning
  • 4+ Years in Project Management, Program Management, Delivery Management and Pre Sales Support.
  • 5 Years in Big Data, Data Science, Python, Machine Learning – 2 Years Analysis, Developing models using Hadoop, Apache Spark,3 Years in Training Big Data, Hadoop, Spark, Python, Java
  • 3 Years of working experience in the USA at different client places as coordinator, Technical consultant.
  • Expertise in Hadoop Ecosystem: HDFS, MapReduce using Java, Sqoop, Hive, Impala, Pig,
    HBase And Spark Ecosystem: Spark using Scala, Spark SQL, Spark Streaming
  • Expertise in Python with Data Science, Machine Learning Programming
  • Managing Projects using Agile/Scrum methodology.
  • Managing - Design and develop web applications using Cloud-based solutions
    (Microsoft Windows Azure, SQL Azure).

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Description

The Course is conducted in the area of Big Data, Hadoop and Spark give the very good experience which is according to the current industry requirement. The Course talks about Big Data and how it is used to create business value in the industry. The Hadoop Framework is explained well with its components – HDFS, MapReduce, Sqoop, Hive, Impala, Pig, Flume and HBase. All components will be studied with industry requirements and hands-on with the scenarios used in the current industry. The Spark which is currently trending Big Data computing Framework which is used for batch processing and as well as Real-Time Data processing is studied with its industrial applications along with its internal working architecture.

The Course is conducted by industry and technology experts which aimed to give more exposure to hands-on with industry applications. The Course materials along with Interview experience will be given to the candidates taking the course

What will I learn?

  • Use Pig and Spark to create scripts to process data on a Hadoop cluster in more complex ways
  • The Hadoop Framework is explained well with its components – HDFS, Map Reduce, Sqoop, Hive, Impala, Pig, Flume and HBase.

Specifications

  • Free Demo
  • Missed Class Recovery
  • Certification by Institute
  • Instalment Facility
  • CV Tailoring
  • Interview Training
₹28,000 ₹ 28,000

Use Coupon Code "SKILLUP2020" To Get Flat INR 500/- Off

Comments (1)

Gopal

May 19, 2020 06:36:28am

"A best environment of Classroom, faculties and study materials was provided." Thanks to Igeeks,Malleswaram

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