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    Big Data Hadoop Analyst Training Course

    Big Data Hadoop Analyst 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...

    ₹ 35001

    ₹ 45000

    22% off

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    Baroda Institute of Technology
    ₹35001  ₹ 45000  

    22% off

     
    Buy Now
    This includes following
    •  120 Hours
    •  Completion certificate : Yes
    •  Language : Hinglish 
    Big Data Hadoop Analyst 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. This training course will give you the right skills to deploy various tools and techniques to be a Hadoop Analyst working with Big Data. Big Data Analyst offers a wide range of scope for the job seekers, data analytics is considered as a backbone of the company, thus, the employees handling the related department should have working knowledge on SQL or basic LINUX commands, the database, SQL, and query language for databases. The Big Data Hadoop Analyst Professional Program insights on installing, updating and maintaining MongoDB environment. Make them understand Data Volume, Data Evolution, Velocity of Data, MapReduce and the procedure of developing distributed processing of large data sets across clusters of computers and administering Hadoop.

        Live Class Practical Oriented Training

        Timely Doubt Resolution

        Dedicated Student Success Mentor

        Certification & Job Assistance

        Free Access to Workshop & Webinar

        No Cost EMI Option

        How the open source ecosystem of big data tools addresses challenges not met by traditional RDBMSs

        Hive and Impala syntax and data formats, including functions and subqueries

        Create and use partitions and different file formats. Combining two or more datasets using JOIN or UNION, as appropriate

        Process and analyze semi-structured and unstructured data. Techniques for optimizing Hive and Impala queries

        How to determine whether Hive, Impala, an RDBMS, or a mix of these is best for a given task

        Using Apache Hive and Apache Impala to provide SQL access to data

        Create, modify, and delete tables, views, and databases; load data; and store results of queries

        What analytic and windowing functions are, and how to use them. Store and query complex or nested data structures

        Extending the capabilities of Hive and Impala using parameters, custom file formats and SerDes, and external scripts

       Introduction to Apache Hadoop Fundamentals

       Introduction to Apache Hive and Impala

       Querying with Apache Hive and Impala

       Common Operators and Built-In Functions

       Data Storage

       Data Storage and Performance

       Working with Multiple Datasets

       Analytic Functions and Windowing

       Complex Data

       Analyzing Text

       Apache Hive Optimization

       Apache Impala Optimization

       Extending Apache Hive and Impala

       Choosing the Best Tool for the Job 

    •   Live Lecture 
·       The Motivation for Hadoop

·       Hadoop Overview

·       Data Storage: HDFS

·       Distributed Data Processing: YARN, MapReduce, and Spark

·       Data Processing and Analysis: Pig, Hive, and Impala

·       Database Integration: Sqoop

·       Other Hadoop Data Tools

·       Exercise Scenario Explanation

·       Practical Exercise
    •   Live Lecture 
·       What Is Hive?

·       What Is Impala?

·       Why Use Hive and Impala?

·       Schema and Data Storage

·       Comparing Hive and Impala to Traditional Databases

·       Use Cases

·       Practical Exercise
    •   Live Lecture 
·       Databases and Tables

·       Basic Hive and Impala Query Language Syntax

·       Data Types

·       Using Hue to Execute Queries

·       Using Beeline (Hive's Shell)

·       Using the Impala Shell

·       Practical Exercise
    •   Live Lecture 
·       Operators

·       Scalar Functions

·       Aggregate Functions

·       Practical Exercise
    •   Live Lecture 
·       Creating Databases and Tables

·       Loading Data

·       Altering Databases and Tables

·       Simplifying Queries with Views

·       Storing Query Results

·       Practical Exercise
    •   Live Lecture 
·       Partitioning Tables

·       Loading Data into Partitioned Tables

·       When to Use Partitioning

·       Choosing a File Format

·       Using Avro and Parquet File Formats

·       Practical Exercise
    •   Live Lecture 
·       UNION and Joins

·       Handling NULL Values in Joins

·       Advanced Joins

·       Practical Exercise
    •   Live Lecture 
·       UNION and Joins

·       Handling NULL Values in Joins

·       Advanced Joins

·       Practical Exercise
    •   Live Lecture 
·       Using Common Analytic Functions

·       Other Analytic Functions

·       Sliding Windows

·       Practical Exercise
    •   Live Lecture 
·       Complex Data with Hive

·       Complex Data with Impala

·       Practical Exercise
    •   Live Lecture 
·       Using Regular Expressions with Hive and Impala

·       Processing Text Data with SerDes in Hive

·       Sentiment Analysis and n-grams

·       Practical Exercise
    •   Live Lecture 
·       Understanding Query Performance

·       Bucketing

·       Hive on Spark

·       Practical Exercise
    •   Live Lecture 
·       How Impala Executes Queries

·       Improving Impala Performance

·       Practical Exercise
    •   Live Lecture 
·       Custom SerDes and File Formats in Hive

·       Data Transformation with Custom Scripts in Hive

·       User-Defined Functions

·       Parameterized Queries

·       Practical Exercise
    •   Live Lecture 
·       Custom SerDes and File Formats in Hive

·       Data Transformation with Custom Scripts in Hive

·       User-Defined Functions

·       Parameterized Queries

·       Practical Exercise
    •   Live Lecture 
·       Comparing Hive, Impala, and Relational Databases

·       Which to Choose?

·       Conclusion

·       Practical Exercise
    A basic knowledge in any programming language is beneficial but not necessary.
    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.
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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
    ₹35001  ₹ 45000  

    22% off

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

    More Courses by : Baroda Institute of Technology


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