Big data training to build necessary
skills to analyze and process
big data problems

Objectives

Mazenet’s industry-oriented big data corporate training approach from real-time training experts will help in driving knowledge of all complex applications of Big Data Analytics.

This Big Data training program covers Hadoop, Scala and Spark while working on real-time industry-oriented case-study projects. In this Big Data course, you will master MapReduce, Hive, Pig, Sqoop, Oozie and Flume for cluster setup, Spark framework and RDD, Scala and Spark SQL, Machine Learning using Spark, Spark Streaming, etc.

This course is comprehensive, filled with hands-on activities and exercises. There are a range of activities in this course for people at every level. The course provides a deep understanding of Big Data and its associated distributed systems which you can apply for real world applications like analyzing financial data or using machine learning to classify customer behavior.

The course modules are structured to give an empirical value and understanding to the candidates. However, all course modules are highly customizable and can be structured to suit the requirements of your organization.

Why Mazenet?



  • Expert Faculty

    Our Faculty comprises of 300+ SMEs with many years of experience. All our trainers possess a minimum of 8+ years of experience.

  • Proven Track Record

    We have served over 200+ global corporate clients, consistently maintaining a 99% success rate in meeting training objectives for 300+ technologies with quick turnaround time.

  • Blended Learning

    We provide course content over any platform that our clients prefer. You can choose an exclusive platform or a combination of ILT, VILT, and DLP.

  • Learning Paths

    The learning paths are very defined with clear benchmarks. Quantitative assessments at regular intervals measure the success of the learning program.

  • Case Study

    We have amassed over 10,000 case studies to support training delivery. Candidates will be trained to work on any real-time business vertical immediately after the training.

  • 24*7 Global Availability

    We are equipped to conduct training on any day, date or time. We have delivered training pan India, Singapore, North America, Hong Kong, Egypt and Australia.

Key Features

  • Customized Training Modules

    Training programs are highly flexible with module customizations to suit the requirements of the business units.

  • Certification

    The training can be supplemented with appropriate certifications that are recognized across the industry.

  • Multi-language Support

    Course content can be delivered in English, Spanish, Japanese, Korean or any other language upon request.

  • Personalized Training Reports

    Candidates are assessed individually at regular intervals and are provided unique learning suggestions to suit their learning calibre.

  • Industry-Oriented Training

    Industry-oriented training, completing which, candidates can be immediately deployed for billable projects.

  • Diverse Training Platforms

    Choose from Instructor-Led Training, Virtual Instructor-Led Training, Digital Learning Platform and Blended Training platforms

Course Preview

  • Hadoop Configuration and Installation
  • HDFS
  • Hadoop based Projects

  • Hadoop cluster Architecture
  • Hadoop cluster configuration
  • Hadoop cluster modes
  • Basics of Hadoop Eco-System
  • Single node and Multi-Node Cluster
  • Hadoop Shell Commands

  • Map Reduce Architecture
  • Necessity of MapReduce
  • Map Reduce Programs in Java
  • Input Splits
  • HDFS Blocks

  • YARN workflow
  • Traditional Way Vs MapReduce way
  • Counters
  • Joining Data Sets
  • Distributed Cache
  • Streaming
  • Distributed Joins
  • MR Unit
  • Real-Time Example

  • Introduction to Hive
  • HQL
  • Introduction to H-Base and No-SQL Data Base
  • H-Base Architecture
  • Comparison of SQL and HQL
  • Hive Datatypes
  • Hive Tables
  • Importing and Querying Data in Hive
  • Running Hive Scripts
  • HBase Vs Traditional Database
  • Partitions

  • Introduction to Pig
  • Pig Architecture
  • Pig data types
  • Pig Vs MapReduce
  • Coupling Pig and MapReduce
  • Pig Latin
  • Pig Scripting
  • Pig UDF
  • Pig Streaming
  • Pig Script testing
  • Importing Pig Jars
  • Pros and Cons of Pig
  • Real-time Example