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    Hadoop Data Analytics Training Course

    Hadoop Data Analytics training course explains how to apply data analytics and business intelligence skills to Big Data. This Big Data Analytics training lays emphasis on...

    ₹ 40000

    ₹ 45000

    11% off

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    Baroda Institute of Technology
    ₹40000  ₹ 45000  

    11% off

     
    Buy Now
    This includes following
    •  140 Hours
    •  Completion certificate : Yes
    •  Language : Hinglish 
    Hadoop Data Analytics training course explains how to apply data analytics and business intelligence skills to Big Data. This Big Data Analytics training lays emphasis on the usage of Apache Pig, Hive, and Cloudera Impala. It will drive you through the process of developing distributed processing of large data sets across clusters of computers and administering Hadoop.The participants will learn how to handle heterogeneous data coming from different sources. This data may be structured, unstructured, communication records, log files, audio files, pictures, and videos. Organizations now have access to massive amounts of data and it’s influencing the way they operate. They are realizing in order to be successful they must leverage their data to make effective business decisions. This course will enable an Analyst to work on Big Data and Hadoop which takes into consideration the burgeoning demands of the industry to process and analyze data at high speeds.

        Live Class Practical Oriented Training

        Timely Doubt Resolution

        Dedicated Student Success Mentor

        Certification & Job Assistance

        Free Access to Workshop & Webinar

        No Cost EMI Option

        Explain the fundamentals of Apache Hadoop, Data ETL (extract, transform, load), data processing using Hadoop tools

        Perform data management and text processing using Hive

        Comparative study of MapReduce, Pig, Hive, Impala, and Relational Databases

        Performing data analysis and processing complex data using Pig

        Extending, troubleshooting, and optimizing Pig and Hive performance Analyze data with Impala

       Introduction about Big Data

       Hadoop Fundamentals

       Introduction to Pig

       Basic Data Analysis with Pig

       Processing Complex Data with Pig

       Multi-Dataset Operations with Pig

       Extending Pig

       Pig Troubleshooting and Optimization

       Introduction to Hive

       Relational Data Analysis with Hive

       Hive Data Management

       Text Processing with Hive

       Hive Optimization

       Extending Hive

       Introduction to Impala

       Analyzing Data with Impala

       Choosing the Best Tool for the Job 

    •   Lecture-1. Introduction about Big Data

Live Lecture 
·       Introductions
    •   Lecture-2. Hadoop Fundamentals

Live Lecture 
·       The Motivation for Hadoop

·       Hadoop Overview

·       HDFS

·       MapReduce

·       The Hadoop Ecosystem

·       Lab Scenario Explanation
    •   Lecture-3. Introduction to Pig

Live Lecture 
·       What Is Pig?

·       Pig’s Features

·       Pig Use Cases

·       Interacting with Pig
    •   Lecture-4. Basic Data Analysis with Pig

Live Lecture 
·       Pig Latin Syntax

·       Loading Data

·       Simple Data Types

·       Field Definitions

·       Data Output

·       Viewing the Schema

·       Filtering and Sorting Data

·       Commonly-Used Functions
    •   Lecture-5. Processing Complex Data with Pig

Live Lecture 
·       Storage Formats

·       Complex/Nested Data Types

·       Grouping

·       Built-in Functions for Complex Data

·       Iterating Grouped Data
    •   Lecture-6. Multi-Dataset Operations with Pig

Live Lecture 
·       Techniques for Combining Data Sets

·       Joining Data Sets in Pig

·       Set Operations

·       Splitting Data Sets
    •   Lecture-7. Extending Pig
Live Lecture 
·       Adding Flexibility with Parameters

·       Macros and Imports

·       UDFs

·       Contributed Functions

·       Using Other Languages to Process Data with Pig
    •   Lecture-8. Pig Troubleshooting and Optimization
Live Lecture 
 

·       Troubleshooting Pig

·       Logging

·       Using Hadoop’s Web UI

·       Optional Demo: Troubleshooting a Failed Job with the Web UI

·       Data Sampling and Debugging

·       Performance Overview

·       Understanding the Execution Plan

·       Tips for Improving the Performance of Your Pig Jobs
    •   Lecture-9. Introduction to Hive
Live Lecture 
·       What Is Hive?

·       Hive Schema and Data Storage

·       Comparing Hive to Traditional Databases

·       Hive vs. Pig

·       Hive Use Cases

·       Interacting with Hive
    •   Lecture-10. Relational Data Analysis with Hive
Live Lecture 

·       Hive Databases and Tables

·       Basic HiveQL Syntax

·       Data Types

·       Joining Data Sets

·       Common Built-in Functions
    •   Lecture-11. Hive Data Management
Live Lecture 

·       Hive Data Formats

·       Creating Databases and Hive-Managed Tables

·       Loading Data into Hive

·       Altering Databases and Tables

·       Self-Managed Tables

·       Simplifying Queries with Views

·       Storing Query Results

·       Controlling Access to Data
    •   Lecture-12. Text Processing with Hive
Live Lecture 
·       Overview of Text Processing

·       Important String Functions

·       Using Regular Expressions in Hive

·       Sentiment Analysis and N-Grams
    •   Lecture-9. Introduction to Hive
Live Lecture 
·       What Is Hive?

·       Hive Schema and Data Storage

·       Comparing Hive to Traditional Databases

·       Hive vs. Pig

·       Hive Use Cases

·       Interacting with Hive
    •   Lecture-13. Hive Optimization
Live Lecture 
·       Understanding Query Performance

·       Controlling Job Execution Plan

·       Partitioning

·       Bucketing

·       Indexing Data
    •   Lecture-14. Extending Hive
Live Lecture 
·       SerDes

·       Data Transformation with Custom Scripts

·       User-Defined Functions

·       Parameterized Queries
    •   Lecture-15. Introduction to Impala
Live Lecture 
·       What is Impala?

·       How Impala Differs from Hive and Pig

·       How Impala Differs from Relational Databases

·       Limitations and Future Directions

·       Using the Impala Shell
    •   Lecture-16. Analyzing Data with Impala
Live Lecture 
·       Basic Syntax

·       Data Types

·       Filtering, Sorting, and Limiting Results

·       Joining and Grouping Data

·       Improving Impala Performance
    •   Lecture-17. Choosing the Best Tool for the Job
Live Lecture 
·       Comparing MapReduce, Pig, Hive, Impala, and Relational Databases

·       Which to Choose?
    The candidates with working experience with SQL or basic LINUX commands are ideal for this training.
    The course offers a variety of online training options, including: • Live Virtual Classroom Training: Participate in real-time interactive sessions with instructors and peers. • 1:1 Doubt Resolution Sessions: Get personalized assistance and clarification on course-related queries. • Recorded Live Lectures*: Access recorded sessions for review or to catch up on missed classes. • Flexible Schedule: Enjoy the flexibility to learn at your own pace and according to your schedule.
    Live Virtual Classroom Training allows you to attend instructor-led sessions in real-time through an online platform. You can interact with the instructor, ask questions, participate in discussions, and collaborate with fellow learners, simulating the experience of a traditional classroom setting from the comfort of your own space.
    If you miss a live session, you can access recorded lectures* to review the content covered during the session. This allows you to catch up on any missed material at your own pace and ensures that you don't fall behind in your learning journey.
    The course offers a flexible schedule, allowing you to learn at times that suit you best. Whether you have other commitments or prefer to study during specific hours, the course structure accommodates your needs, enabling you to balance your learning with other responsibilities effectively. *Note: Availability of recorded live lectures may vary depending on the course and training provider.
    Education Provider
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    Baroda Institute Of Technology - Training Program

    BIT (Baroda Institute Of Technology) Is A Training And Development Organization Catering To The Learning Requirements Of Candidates Globally Through A Wide Array Of Services. Established In 2002. BIT Strength In The Area Is Signified By The Number Of Its Authorized Training Partnerships. The Organization Conducts Trainings For Microsoft, Cisco , Red Hat , Oracle , EC-Council , Etc. Domains / Specialties Corporate Institutional Boot Camp / Classroom Online – BIT Virtual Academy Skill Development Government BIT’s Vision To Directly Associate Learning With Career Establishment Has Given The Right Set Of Skilled Professionals To The Dynamic Industry. Increased Focus On Readying Candidates For On-the-job Environments Makes It A Highly Preferred Learning Provider. BIT Is Valued For Offering Training That Is At Par With The Latest Market Trends And Also Match The Potential Of Candidates. With More Than A Decade Of Experience In Education And Development, The Organization Continues To Explore Wider Avenues In Order To Provide Learners A Platform Where They Find A Solution For All Their Up- Skilling Needs!

    Graduation
    2002
    Data Sciences

    More Courses by : Baroda Institute of Technology


    Baroda Institute of Technology
    ₹40000  ₹ 45000  

    11% off

     
    Buy Now
    This includes following
    •  140 Hours
    •  Completion certificate : Yes
    •  Language : Hinglish

    More Courses by : Baroda Institute of Technology


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