Big Data Testing Training Program

Dive into Big Data Testing with Zeblearns specialized training program. Master the essential concepts and techniques for validating the correctness, completeness, and reliability of big data systems and applications. Learn to design and execute comprehensive test cases, verify data transformations, and ensure data quality across large-scale datasets. Gain practical skills in using testing tools, analyzing big data pipelines, and implementing industry best practices. Benefit from hands-on projects, real-world case studies, and expert-led sessions. Enroll now to become proficient in Big Data Testing and excel in the rapidly evolving field of data quality assurance!

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About Big Data Testing Training Program

Hadoop Introduction

Why we need Hadoop

What is Big Data?

Big Data Hadoop Introduction

What is Cloudera and How to Setup Cloudera Environment?

Hadoop Practice Questions for Students

Hadoop Installation process and Service Start Stop

Hadoop Start and Stop on Ubuntu Machine

Hadoop Services and JPS Command

All HDFS Commands

Different HDFS Command Part -

How to Work with Map-Reduce for Word Count Example in Eclipse?

Execute Hadoop Jar for Word Count Program from Hadoop Terminal

Unix and Shell Scripting Practice Questions for Students

HDFS Architecture with NameNode and DataNode

Different Hadoop Running Modes

Hadoop Main Components

3 Vs in Big Data

Hadoop Different Data Supports

Differences Between Hadoop 1.x and Hadoop 2.x

HDFS and Hadoop Daemons

Hadoop Block Size and Input Split

Automation Related Practice Questions for Students

Hive Overview

Hive Practice Questions for Students

Hive Installation

Hive Queries - Part 1

Hive Characteristics and Features

Different Hive Tables and their Differences

How Hive Differs from RDBMS

Hive Components

Hive Queries (Managed Table) - Part 2

Hive Queries (External Table) - Part 3

Few Important Hive Basic Queries

Different Hive Joins (Inner Join, Left Outer Join, Right Outer Join)

Hive Partitions - Static Partition Implementation

Hive Partitions - Dynamic Partition Implementation

Hive - Indexes Implementation

Hive - Views Implementation

Hive - Bucketing

Hive UDFs

Insert INTO and Insert Overwrite

Use Case (MovieLens) Implementation Part 1

Use Case Implementation Part 2

How to Update and Delete Table Records in Hive

How to Add Columns to an Existing Table

Min, Max, Avg, and Count Functions Implementation

Add Table Using Existing Table

How to Rename a Table

Replace Columns Schema

How to Compare Two Hive Tables to Get the Distinct Records

How to Execute Hive Tables/Files Using Shell Script

How to Create Files and Directories

How to Open Files in an Editor and Save the File

Copy and Move Commands

How to Find Files

Head and Tail Commands

More and Less Commands

How to Find 'String/Word' from a File with Word Count Condition

How to Work with SED Commands in Unix

How to Work with AWK Command in Unix

Redirect Output to Another File Generated from Condition

Pig Scripting Practice Questions for Students

Pig Installation

How to Load Data in Pig from Local Environment and Query the Data

How to Test Schema and Metadata

Grouping in Pig Script

How to Filter Data in Pig Scripting (Local Mode)

How to Limit Pig Script Output

How to Load Data in Pig from HDFS Environment and Query

How to Filter Data Based on String (HDFS Mode)

Why Should You Learn Big Data Testing Training?

The annual salary of an Big Data Testing is $125k.

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What you will get at Zeblearnindia Learning?

Zeblearnindia Learning is a premier institute offering training in SAP Online Courses, Web Designing, Data Science, Full-Stack Development, Salesforce, Workday, Machine Learning, Software Testing, and Video Editing. With the option to choose between online and offline (classroom) learning, our well-structured courses cater to students, working professionals, business owners, and entrepreneurs. Here’s what you can expect at Zeblearnindia Learning:

Expert-Led Training
Globally Recognized Certifications
100% Job Placement Support
Hands-On Learning
Flexible Learning Options
Affordable Course Fees
Career Growth Opportunities

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