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

1422+

Professionals Trained

20+

Countries And Counting

25+

Corporates Served

10+ hrs

Workshop

OVERVIEW LEARNING OBJECTIVES PRE-REQUISITES CURRICULUM FAQ CERTIFICATE

Overview

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

PREREQUISITES

    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.

CURRICULUM

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?

FAQs

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 [email protected]

Call us At

+91 8447121833

Available 24x7 for your queries
call
Request More Information

Training Features

experiential.png
Experiential Workshops

Top-rated instructors imparting in-depth training, hands-on exercises with high energy workshop

icon
Certicate Exam Application Assistance

The training program includes several lab assignments, developed as per real industry scenarios.

icon
Certificate Exam Success Formula

Training begins taking a fresh approach from basic, unique modules, flexible, and enjoyable.

icon
Certificate Journey Support

Basic to intermediate and eventually advanced practicing full hands-on lab exercises till you master.

icon
Free Refresh Course

Refresh training for experts for mastering and enhancing the skills on the subjects with fresh course modules.

icon
Exclusive Post-Training Sessions

Includes evaluation, feedback, and tips to handle critical issues in live setup after you are placed in a job.

Mildain's Master Certificate

Earn your certificate

This certificate is proof that you have taken a big leap in mastering the domain comprehensively.

Differentiate yourself with a Masters Certificate

Now you are equipped with real-industry knowledge, required skills, and hands-on experience to stay ahead of the competition.

Share your achievement

Post the certificate on LinkedIn and job sites to boost your profile. Notify your friends and colleagues by sharing it on Twitter and Facebook.

cert.png
whatsapp arrow
Loading...
Corporate