Big Data

Big Data technologies can solve problems differently by dividing the processing of data and distributing it in a cluster of multiple machines.

Big Data

Big Data technologies can solve problems differently by dividing the processing of data and distributing it in a cluster of multiple machines.

Overview

We aligned our big data team to offer a top-notch big data course in Infopark though Techmindz powered by Ndimensionz. Techmindz is the best platform for big data training where you can showcase your excellence. These industry experts train you on how big data is stored, how big data works, how big data is generated, how big data is stored and managed in organizations etc.

What you'll learn

  • 68 hours of blended learning
  • Interactive learning
  • Dedicated mentoring session from faculty of industry experts
  • 4 industry-based projects
  • Lifetime access to self-paced learning
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This course includes

Seed Plan

  • Duration 2.5 months
  • 0.5 Skill training

Benefits

  • Certified course
  • Internship based on PE
  • ∙ 8 Grooming sessions
  • ∙ Performance evaluations
  • Recorded sessions
  • Extra learning sessions
  • Weekly assignments
  • Main Project
  • Free Access to LMS
  • Update on Job vacancy in and around Infopark
Enroll now

Growth Plan

  • Duration 2.5 months
  • 0.5 months training
  • 3 months internship

Benefits

  • Certified course
  • ∙ Confirmed Paid Internship
  • Sessions by Industry Experts
  • Flexible pricing options
  • 24x7 learner assistance and support
  • Placement based on PE
  • 8 Grooming sessions
  • Performance evaluations
  • Recorded sessions
  • Extra learning sessions
  • Weekly assignments
  • Main Project
  • Free Access to LMS
  • Update on Job vacancy in and around Infopark
Enroll now

Success Plan

  • Duration 2.5 months
  • 0.5 months training
  • 3 months internship with stipend
  • job placement

Benefits

  • Assured Placement
  • Certified course
  • Confirmed Paid Internship
  • Sessions by Industry Experts
  • Live client Projects
  • Flexible pricing options
  • 24x7 learner assistance and support
  • 8 Grooming sessions
  • Performance evaluations
  • Recorded sessions
  • Extra learning sessions
  • Weekly assignments
  • Main Project
  • Free Access to LMS
  • Update on Job vacancy in and around Infopark
Enroll now

Syllabus:

Accordion Content
  • Need of big data.(3 main V’s of big data- Volume, velocity, variety)
  • What is Big data.?
  • Why big data..?
  1. Hadoop
    • Hadoop 1 and hadoop 2
    • Components of hadoop (mapreduce, NameNode,
      DataNode, RM etc)
  2. Spark
    • Why spark better that hadoop MapReduce
    • introduction to spark and its in-memory processing.
    • What is spark rdd, dataframe.
    • Spark Streaming
  3. Kafka – Message queue tool
    • Why kafka used
    • Advantages of kafka
    • Integration of Kafka with spark
  4. Oozie
  5. Hive
  6. Hands own in Hadoop HA cluster- Creating
    producer and consumer using python, kakfa, spark,
    scala. Creating batch processing codes to complete the
    entire pipeline.
  • 3 – 4 min projects
  • 1 main project – Twitter Producer, Consumer, monitoring, data loss
    alerting, other key technologies used in industries to build a stable
    pipeline.
  • Reading Files
  • Writing text files
  • Appending to Files and Challenge
  • Manually writing the binary files
  • Writing Binary files with Pickle
  • Python user-defined functions
  • Python packages and functions
  • Calling and Defining the function
  • The anonymous Functions
  • Statement and Loops in Python
  • Python Packages & Modules
  • Overview of OOP
  • Creating Objects and Classes
  • Accessing attributes
  • Built-In Class Attributes
  • Destroying Objects
  • What is Exception?
  • Handling the exception
  • Try..except..else
  • try-finally clause
  • The argument of the Exception
  • Standard Python Exceptions
  • User-Defined Exceptions
  • Raising an exceptions
  • What is a regular expression?
  • Knowing match Function
  • Understanding the search Function
  • Searching Vs Matching
  • Extended Regular Expressions
  • Search and Replace function
  • Wildcard
  • Collections – named tuples, default dicts
  • Breakpoints and Debugging
  • Using IDEs
  • Matching vs searching

Description

Big Data technologies can solve problems differently by dividing the processing of data and distributing it in a cluster of multiple machines. We aligned our big data team to offer a top-notch big data course in Infopark though Techmindz powered by Ndimensionz. Techmindz is the best platform for big data training where you can showcase your excellence. These industry experts train you on how big data is stored, how big data works, how big data is generated, how big data is stored and managed in organizations etc.

Analytics

Big Data technology, combined with the cloud service platforms, makes it possible to adapt the cluster size in real-time. It is based on specific processing needs, which allows increasing the cluster size to absorb high data peaks at particular times and reducing it when the processing needs decrease. This allows optimizing the costs of using these technologies, making them accessible to any corporation. This is how Big Data analytics works. The soaring demand for Analytics professionals and its salary aspects shows the importance of big data for beginners as well as for professionals.

Who Can avail a Big Data training

The ideal qualifications for Big Data learning is a bachelor’s degree in Computer Science or a related field, experience or basic knowledge in Java, Project Leads, and anyone who works in a managerial role. Whether you are a fresher or an experienced professional looking to enhance your career prospects, big data learning, and big data internship help you to get a significant career growth in the Big Data market.
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