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Apache Pig & Hive

Live Online (VILT) & Classroom Corporate Training Course

Apache Pig is known for its simplistic syntax and ability to decrease development time and hence is widely used by organizations that analyse Big Data. The Hive tool in the Hadoop ecosystem is much sought after because it is scalable and provides tools for easy data analysis and extraction.

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Overview

This training will introduce you to the world of Hadoop and MapReduce. You will learn through a series of practical, hands on exercises on writing complex MapReduce transformations, about HDFSand writing scripts using the advanced features of Pig. You will understand the Hive environment, the Hive querying language and how to perform data analysis with Hive.

Objectives

At the end of Apache Pig & Hive training course, participants will learn

  • To analyse large data sets using Pig Latins scripts and parallel processing using MapReduce | The benefits of HiveQL | To use Hive on complex data sets and derive insights to help business | How Big data can change the way businesses operate
  • The Hadoop ecosystem and its architecture
  • To analyse large data sets using Pig Latins scripts and parallel processing using MapReduce
  • About Hive and its use in Big Data
  • The benefits of HiveQL
  • To use Hive on complex data sets and derive insights to help business

Prerequisites

Understanding of Linux commands and SQL queries. Basic Knowledge of core Java

Course Outline

  • Hadoop overview
  • Surveying the Hadoop components
  • Defining the Hadoop architecture

  • Achieving reliable and secure storage
  • Monitoring storage metrics
  • Controlling HDFS from the Command Line
  • Detailing the MapReduce approach
  • Transferring algorithms not data
  • Dissecting the key stages of a MapReduce job
  • Facilitating data Ingress and Egress
  • Aggregating data with Flume
  • Configuring data fan in and fan out
  • Moving relational data with Sqoop

  • Contrasting Pig with MapReduce
  • Identifying Pig use cases
  • Pinpointing key Pig configurations

  • Pig Latin: Relational Operators
  • File Loaders
  • Group Operator
  • CO GROUP Operator
  • Joins and CO GROUP
  • Union, Diagnostic Operators
  • Pig UDF
  • Representing data in Pig’s data model
  • Running Pig Latin commands at the Grunt Shell
  • Expressing transformations in Pig Latin Syntax
  • Invoking Load and Store functions

  • Creating new relations with joins
  • Reducing data size by sampling
  • Extending Pig with user–defined functions
  • Consolidating data sets with unions
  • Partitioning data sets with splits
  • Injecting parameters into Pig scripts

  • Hive Background
  • Hive Use Case
  • About Hive
  • Hive vs Pig
  • Hive Architecture and Components
  • Meta-store in Hive
  • Limitations of Hive
  • Comparison with Traditional Database
  • Hive Data Types and Data Models
  • Partitions and Buckets
  • Hive Tables(Managed Tables and External Tables)
  • Importing Data
  • Querying Data
  • Managing Outputs

  • Hive Script
  • Hive UDF and Hive Demo on Healthcare Data set
  • Hive QL: Joining Tables
  • Dynamic Partitioning
  • Custom MapReduce Scripts
  • Thrift Server
  • User Defined Functions

Available Training Modes

Pick the format that fits your team.

Same authorised curriculum, same trainers, same hands-on cloud labs — delivered the way that works for you.

Live Online (VILT)

Real-time instructor-led sessions over Zoom or Teams. Same classroom, different time zones.

Most popular

Classroom

Face-to-face training delivered at your office, our Bengaluru centre, or any partner venue worldwide.

Onsite

Self-Paced

Recorded sessions plus 24/7 access to cloud labs and assessments. Learn at the pace that works for each engineer.

On-demand

Blended

Live workshops with self-paced reinforcement and project-based labs. Best for hybrid teams across regions.

Hybrid teams
All modes include: hands-on cloud labs, recordings, assessments, certificate of completion. Talk to a solutions advisor →

Our Training Process

How a course becomes measurable skill.

One contract, five steps, zero handoffs. From discovery to deployment, the same Synergific team owns the outcome — not a chain of vendors.

5 Steps from your scoping call to certified, productive engineers.
01

Discover & set goals

We start with a scoping call to understand your team's current skill level, target outcomes, deadlines, and certification needs — then translate that into a measurable success plan with named owners on both sides.

02

Curate the right path

We map the optimal learning path — instructor-led, self-paced, or blended — with hands-on cloud labs, prerequisite refreshers, and certification vouchers built in. No filler modules, no padded curriculum.

03

Deliver hands-on training

Authorised trainers run live sessions backed by 24/7 cloud labs and real-world projects. Theory and practice on the same day — learners stop forgetting concepts before they get to apply them.

04

Assess & mentor

Continuous skill checks, mock exams, and 1:1 mentoring keep the program honest. If anyone falls behind, we course-correct in-flight — you'll never find out at the end that two engineers couldn't keep up.

05

Certify & apply on the job

Voucher-backed certification, post-training office hours, and 30-day reinforcement so skills land on real work — not just on the exam scorecard. Success measured after the course ends, not before.

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