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Hadoop Data Analytics Online Training & Certification Course

Multisoft Virtual Academy avails the Hadoop Data Analytics online training course  to provide Hadoop overview, the Hadoop ecosystem, and Hands-on exercises to learn about data ingest with Hadoop Administration Training Online tools.

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Instructor-led Training Live Online Classes

Suitable batches for you

20 Jul 2024 24 06:00 PM - 09:00 PM Sat, Sun
27 Jul 2024 24 06:00 PM - 09:00 PM Sat, Sun
03 Aug 2024 24 06:00 PM - 09:00 PM Sat, Sun
10 Aug 2024 24 06:00 PM - 09:00 PM Sat, Sun

Course Price At

$ 390

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Instructor-led Training Live Online Classes

20 Jul 2024 24 06:00 PM - 09:00 PM Sat, Sun
27 Jul 2024 24 06:00 PM - 09:00 PM Sat, Sun
03 Aug 2024 24 06:00 PM - 09:00 PM Sat, Sun
10 Aug 2024 24 06:00 PM - 09:00 PM Sat, Sun

Course Price At

$ 390

Enroll Now
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Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You’ll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.

Course Price At

$ 390

Enroll Now
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Talk to our training advisor

Instructor-Led Online Training Parameters

Course Highlights

  • Duration: 24 Hrs.
  • Subject Matter Expert
  • After Training Support
  • Lifetime e-Learning Access
  • Recorded Sessions
  • Free Online Assessments
Hadoop Data Analytics Training Course Syllabus

Curriculum Designed by Experts

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Big Data analytics deals with studying the huge data sets consisting numerous data types to study various market trends, customer graph, and important business information. Hadoop Data Analytics is used by the organizations for implementing the Business Intelligence and data analytic skills on the Big Data.

Multisoft Virtual Academy avails the Hadoop Data Analytics online training course  to provide Hadoop overview, the Hadoop ecosystem, and Hands-on exercises to learn about data ingest with Hadoop tools. Also, the expert trainers aim at letting the candidates get an in-depth understanding of the knowledge of Hadoop fundamentals that can help them to know all about Hadoop architecture.

Not only this, but the Hadoop Data Analytics online training program also assists in getting the knowledge of the following:

  • Data analysis using Pig and its features
  • Processing complicated data with the help of Pig use cases
  • Basic data analysis using the Pig Latin syntax
  • Using the Data ETL (Extract, Transform and Load) and viewing the schema
  • Multi-dataset operations by joining data sets in Pig
  • Relational data analysis with Hive
  • Using Regular Expressions in Hive

The candidates who are willing to make career in Big Data domain can also opt for other trainings, namely Hadoop Developer and Hadoop Administration.

Big Data analytics deals with studying the huge data sets consisting numerous data types to study various market trends, customer graph, and important business information. Hadoop Data Analytics is used by the organizations for implementing the Business Intelligence and data analytic skills on the Big Data.

  • About this Course
  • About Big Data
  • Course Logistics 
  • Introductions
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  • The Motivation for Hadoop
  • Hadoop Overview
  • HDFS
  • MapReduce
  • The Hadoop Ecosystem
  • Lab Scenario Explanation
  • Hands-On Exercise: Data Ingest with Hadoop Tools
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  • What Is Pig?
  • Pig’s Features 
  • Pig Use Cases 
  • Interacting with Pig
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  • Pig Latin Syntax 
  • Loading Data
  • Simple Data Types 
  • Field Definitions 
  • Data Output 
  • Viewing the Schema
  • Filtering and Sorting Data
  • Commonly-Used Functions 
  • Hands-On Exercise: Using Pig for ETL Processing
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  • Storage Formats 
  • Complex/Nested Data Types 
  • Grouping
  • Built-in Functions for Complex Data
  • Iterating Grouped Data
  • Hands-On Exercise: Analyzing Ad Campaign Data with Pig
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  • Techniques for Combining Data Sets 
  • Joining Data Sets in Pig
  • Set Operations 
  • Splitting Data Sets 
  • Hands-On Exercise: Analyzing Disparate Data Sets with Pig
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  • Adding Flexibility with Parameters 
  • Macros and Imports 
  • UDFs 
  • Contributed Functions 
  • Using Other Languages to Process Data with Pig
  • Hands-On Exercise: Extending Pig with Streaming and UDFs
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  • 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
     
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  • What Is Hive?
  • Hive Schema and Data Storage
  • Comparing Hive to Traditional Databases Hive vs. Pig
  • Hive Use Cases Interacting with Hive
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  • Hive Databases and Tables 
  • Basic HiveQL Syntax 
  • Data Types 
  • Joining Data Sets 
  • Common Built-in Functions 
  • Hands-On Exercise: Running Hive Queries on the Shell, Scripts, and Hue
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  • 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
  • Hands-On Exercise: Data Management with Hive
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  • Overview of Text Processing
  • Important String Functions 
  • Using Regular Expressions in Hive
  • Sentiment Analysis and N-Grams 
  • Hands-On Exercise (Optional): Gaining Insight with Sentiment Analysis
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  • Understanding Query Performance
  • Controlling Job Execution Plan
  • Partitioning
  • Bucketing
  • Indexing Data
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  • SerDes 
  • Data Transformation with Custom Scripts 
  • User-Defined Functions 
  • Parameterized Queries 
  • Hands-On Exercise: Data Transformation with Hive
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  • What is Impala?
  • How Impala Differs from Hive and Pig
  • How Impala Differs from Relational Databases 
  • Limitations and Future Directions 
  • Using the Impala Shell
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  • Basic Syntax 
  • Data Types 
  • Filtering, Sorting, and Limiting Results 
  • Joining and Grouping Data
  • Improving Impala Performance
  • Hands-On Exercise: Interactive Analysis with Impala
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  • Comparing MapReduce, Pig, Hive, Impala, and Relational Databases
  • Which to Choose?
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Hadoop Data Analytics Training Description

  • Data analysis using Pig and its features
  • Processing complicated data with the help of Pig use cases
  • Basic data analysis using the Pig Latin syntax
  • Using the Data ETL (Extract, Transform and Load) and viewing the schema
  • Multi-dataset operations by joining data sets in Pig
  • Relational data analysis with Hive
  • Using Regular Expressions in Hive

  • Business analysts
  • Business intelligence professionals
  • Data analysts
  • Data scientists
  • IT professionals
  • Project managers
  • Data Warehousing professionals
  • Data engineers

  • No prerequisites
  • Knowledge of core JAVA and SQL recommended

Hadoop Data Analytics Training Certification

Multisoft Virtual Academy provides a globally recognized training certificate to the participants, after successful completion of a training program. The training certificates are recognized and accepted across the world.

Multisoft Virtual Academy's training certificate comes with lifetime validity.

Aspirants can directly enroll for the desired course from the Book Now Button in the course page. You can also connect on Whatsapp at +91 8130666206 to talk with a training advisor. Multisoft Virtual Academy also offers customized training programs on a wide range of domains and skills.

All training programs offered by Multisoft Virtual Academy are delivered by certified industry experts, who have years of experience in the relevant domains. Multisoft Global Subject Matter Experts impart knowledge on a wide variety of training courses through one –on-one and corporate training sessions.

Multisoft Virtual Academy training certification can help participants stand out in the competitive job market. Since the training certificates are internationally accepted, participants can showcase their skills and knowledge to employers across the world.

Hadoop Data Analytics Corporate Training Certification

Interactive Virtual Training

Interactive Virtual Training

  • Global Subject Matter Experts
  • Step-by –Step Learning Approach
  • Instant Doubt Clearing
Lifetime Access

Lifetime Access

  • Lifetime E-learning Access
  • Recorded Training Session Videos
  • Free Access to Practice Tests
24x7 Assistance

24x7 Assistance

  • Help Desk Support
  • Doubt Resolution in Real-time
  • After Training Support
Hands on Experience

Hands on Experience

  • Project Based Learning
  • Learning based on real-life examples
  • Assignments and Practice Tests
Globally Recognized Training Certificate

Globally Recognized Certificate

  • Multisoft Training Certificate
  • Globally Recognized and Accepted
  • Lifetime Validity

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