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    Big Data Analytics Training in San Jose CA US

    This Big Data Analytics course will furnish you with the aptitudes and methodologies necessary to excel in the Big Data Analytics industry. With this training, you’ll learn to work with the adaptable, versatile frameworks based on the Apache Hadoop ecosystem. You'll learn Big Data implementations that have security, speed, and scale.

    • ✔ Course Duration : 40 hrs
    • ✔ Training Options : Live Online / Self-Paced / Classroom
    • ✔ Certification Pass : Guaranteed


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    10+ hrs




    This Big Data Analytics course will furnish you with the aptitudes and methodologies necessary to excel in the Big Data Analytics industry. With this training, you’ll learn to work with the adaptable, versatile frameworks based on the Apache Hadoop ecosystem. You'll learn Big Data implementations that have security, speed, and scale.

    What you will Learn

    • Hadoop Fundamentals - The Motivation for Hadoop
    • 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


      There are no pre-requisites to take up the Big Data Analytics training course. However, a basic understanding of mathematics and statistics is beneficial prior to starting this course.


    Learning Objectives:
    • About this Course
    • About Big Data
    • Course Logistics
    • Introductions
    Learning Objectives:
    • Hadoop Overview
    • HDFS
    • MapReduce
    • The Hadoop Ecosystem
    • Lab Scenario Explanation
    • Hands-On Exercise: Data Ingest with Hadoop Tools
    Learning Objectives:
    • What Is Pig?
    • Pig’s Features
    • Pig Use Cases
    • Interacting with Pig
    Learning Objectives:
    • 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
    Learning Objectives:
    • 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
    Learning Objectives:
    • Techniques for Combining Data Sets
    • Joining Data Sets in Pig
    • Set Operations
    • Splitting Data Sets
    • Hands-On Exercise: Analyzing Disparate Data Sets with Pig
    Learning Objectives:
    • 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
    Learning Objectives:
    • 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
    Learning Objectives:
    • What Is Hive?
    • Hive Schema and Data Storage
    • Comparing Hive to Traditional Databases Hive vs. Pig
    • Hive Use Cases Interacting with Hive
    Learning Objectives:
    • 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
    Learning Objectives:
    • 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
    Learning Objectives:
    • 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
    Learning Objectives:
    • Understanding Query Performance
    • Controlling Job Execution Plan
    • Partitioning
    • Bucketing
    • Indexing Data
    Learning Objectives:
    • SerDes
    • Data Transformation with Custom Scripts
    • User-Defined Functions
    • Parameterized Queries
    • Hands-On Exercise: Data Transformation with Hive
    Learning Objectives:
    • What is Impala?
    • How Impala Differs from Hive and Pig
    • How Impala Differs from Relational Databases
    • Limitations and Future Directions
    • Using the Impala Shell
    Learning Objectives:
    • Basic Syntax Data Types
    • Filtering, Sorting, and Limiting Results
    • Joining and Grouping Data
    • Improving Impala Performance
    • Hands-On Exercise: Interactive Analysis with Impala
    Learning Objectives:
    • Comparing MapReduce, Pig, Hive, Impala, and Relational Databases
    • Which to Choose?


    You can enroll for this classroom training online. Payments can be made using any of the following options and receipt of the same will be issued to the candidate automatically via email.
    1. Online ,By deposit the mildain bank account
    2. Pay by cash team training center location

    Highly qualified and certified instructors with 20+ years of experience deliver more than 200+ classroom training.

    Contact us using the form on the right of any page on the mildaintrainings website, or select the Live Chat link. Our customer service representatives will be able to give you more details.

    You will never miss a lecture at Mildaintrainigs! You can choose either of the two options: View the recorded session of the class available in your LMS. You can attend the missed session, in any other live batch.

    We have a limited number of participants in a live session to maintain the Quality Standards. So, unfortunately, participation in a live class without enrollment is not possible. However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in a class.

    Yes, you can cancel your enrollment if necessary prior to 3rd session i.e first two sessions will be for your evaluation. We will refund the full amount without deducting any fee for more details check our Refund Policy

    Yes, the access to the course material will be available for lifetime once you have enrolled into the course.

    Just give us a CALL at +91 8447121833 OR email at info@mildaintrainings.com



    Training features

  • Instructor-led Sessions
    Online Live Instructor-Led Classes.
    Classroom Classes at our/your premises.
    Corporate Training
  • Real-life Case Studies
    Live project based on any of the selected use cases, involving implementation of the various Course concepts.
  • Assignments
    Each class will be followed by practical assignments.
  • Lifetime Access
    You get lifetime access to presentations, quizzes, installation guide & class recordings.
  • 24 x 7 Expert Support
    We have 24x7 online support team to resolve all your technical queries, through ticket based tracking system, for the lifetime.
  • Certification
    Sucessfully complete your final course project and Mildaintrainings will give you Course completion certificate.
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