60 Hrs
3246+ Enrollments
Hadoop Training
The Hadoop Training course is designed to provide you with a comprehensive understanding of Hadoop and its ecosystem. You will learn how to set up a Hadoop cluster, store and process data using HDFS and MapReduce, perform data analytics using Pig and Hive, and use HBase and Spark for real-time data processing. Our course is delivered by industry experts with years of experience in Hadoop and its related technologies.
Hadoop Training
Overview of Course
Learn Hadoop, the open-source software framework, with our Hadoop Training course. Gain in-depth knowledge of the Hadoop ecosystem, including HDFS, MapReduce, Pig, Hive, HBase, and Spark. Our course is designed to teach you how to use Hadoop to handle big data and perform data analytics.
Course Highlights
Comprehensive course covering Hadoop and its ecosystem
Hands-on experience with Hadoop cluster setup and data processing
Real-world case studies and projects for practical experience<br /><br />
Key Differentiators
Personalized Learning with Custom Curriculum
Training curriculum to meet the unique needs of each individual
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Trusted by over 100+ Fortune 500 Companies
We help organizations deliver right outcomes by training talent
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Flexible Schedule & Delivery
Choose between virtual/offline with Weekend options
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World Class Learning Infrastructure
Our learning platform provides leading virtual training labs & instances
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Enterprise Grade Data Protection
Security & privacy are an integral part of our training ethos
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Real-world Projects
We work with experts to curate real business scenarios as training projects
Skills You’ll Learn
Understand the fundamentals of Hadoop and its ecosystem
Set up a Hadoop cluster and configure HDFS and MapReduce
Perform data processing using Pig and Hive
Use HBase and Spark for real-time data processing
Analyze big data and extract insights using Hadoop
Training Options
1-on-1 Training
Access to live online classes- Flexible schedule including weekends
- Hands-on exercises with virtual labs
- Session recordings and learning courseware included
- 24X7 learner support and assistance
- Book a free demo before you commit!
Corporate Training
- Everything in 1-on-1 Training plus
- Custom Curriculum
- Extended access to virtual labs
- Detailed reporting of every candidate
- Projects and assessments
- Consulting Support
- Training aligned to business outcomes
Unlock Organizational Success through Effective Corporate Training: Enhance Employee Skills and Adaptability- Choose customized training to address specific business challenges and goals, which leads to better outcomes and success.
- Keep employees up-to-date with changing industry trends and advancements.
- Adapt to new technologies & processes and increase efficiency and profitability.
- Improve employee morale, job satisfaction, and retention rates.
- Reduce employee turnovers and associated costs, such as recruitment and onboarding expenses.
- Obtain long-term organizational growth and success.
Course Reviews
Curriculum
- Introduction to Big Data
- Limitations and Solutions of existing Data Analytics Architecture
- Introduction to Hadoop
- Hadoop Features
- Hadoop Ecosystem
- Hadoop 2.x core components
- Hadoop Storage: HDFS
- Hadoop Processing: MapReduce Framework
- Hadoop Different Distributions.
- YARN (Yet another Resource Negotiator) – Next Gen.
- Map Reduce
- What is YARN?
- Difference between Map Reduce & amp; YARN
- YARN Architecture
- Resource Manager Application Master Node Manager.
- Hadoop 2.x Cluster Architecture - Federation and High Availability
- A Typical Production Hadoop Cluster
- Hadoop Cluster Modes
- Common Hadoop Shell Commands
- Single node cluster and Multi node cluster set up Hadoop Administration
- MapReduce Use Cases
- Why MapReduce
- Hadoop 2.x MapReduce Architecture
- Hadoop 2.x MapReduce Components
- YARN MR Application Execution Flow
- YARN Workflow
- Demo on MapReduce
- Input Splits
- Relation between Input Splits and HDFS Blocks
- MapReduce: Combiner & Partitioner
- Sequence Input Format
- Xml file Parsing using MapReduce
- Introduction to Pig
- MapReduce Vs Pig
- Pig Use Cases
- Programming Structure in Pig
- Pig Running Modes
- Pig components
- Pig Execution
- Pig Latin Program
- Data Models inPig
- Pig Data Types
- Shell and Utility Commands
- Hive Background
- Hive Use Case
- About Hive
- Hive Vs Pig
- Hive Architecture and Components
- Metastore 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
- Hive QL: Joining Tables
- Dynamic Partitioning
- Hive Indexes and views Hive query optimizers
- Hive: Thrift Server
- User Defined Functions
- HBase: Introduction to NoSQL Databases and HBase
- HBase v/s RDBMS
- HBase Components
- HBase Architecture
- Run Modes & Configuration
- HBase Cluster Deployment
- HBase Data Model
- HBase Shell
- Data Loading Techniques
- ZooKeeper Data Model
- Zookeeper Service
- Zookeeper
- Demos on Bulk Loading
- Getting and Inserting Data
- Filters in HBase
- Sqoop Architecture
- Sqoop Installation
- Sqoop Commands(Import, Hive-Import, EVal, Hbase Import, Import All tables,Export)
- Connectors to Existing DBs and DW
- Hands on Exercise
- Flume Introduction
- Flume Architecture
- Flume Master
- Flume Collector and Flume Agent
- Flume Configurations
- Real Time Use Case using Apache Flume
- Need of NoSQL Databases
- Relational VS Non-Relational Databases
- Introduction to MongoDB
- Features of MongoDB
- Installation of MongoDB
- Mongo DB Basic operations
- REAL Time Use Cases on Hadoop &
- MongoDB Use Case
- Introduction to Apache Spark
- Role of Spark in Big data
- Who is using Spark
- Installation of SparkShell and StandAlone Cluster
- Configuration
- RDD Operations (Transformations and actions)
- A demo project using all the components of the above topics
Meet the instructor and learn about the course content and teaching style.- Make informed decisions about whether to enroll in the course or not.
- Get a perspective with a glimpse of what the learning process entails.
Description
Target Audience:
- Data analysts and engineers
- Software developers
- IT professionals
- Big data enthusiasts
Prerequisite:
- Basic understanding of programming and Linux commands
- Familiarity with SQL is a plus
Benefits of the course:
- Gain expertise in Hadoop and its ecosystem
- Expand your career opportunities with big data skills
- Hands-on experience with real-world projects
- Industry-recognized certification upon completion
Exam details to pass the course:
- The course is assessed through practical projects and assignments.
Certification path:
- Upon successful completion of the Hadoop Training course, you will be awarded the Skillzcafe Hadoop certification.
Career options:
- Big data engineer
- Hadoop developer
- Data analyst
- Data scientist
Why should you take this course from Skillzcafe:
Comprehensive course with in-depth coverage of Hadoop and its ecosystem- Hands-on experience with real-world projects and case studies
- Industry experts as trainers with years of experience in Hadoop
- Flexible learning options with self-paced and instructor-led modes
- Industry-recognized certification upon completion
FAQs
Hadoop is an open-source software framework used for storing and processing big data.
Basic programming and Linux command knowledge is required. Familiarity with SQL is a plus.
You can pursue a career as a big data engineer, Hadoop developer, data analyst, or data scientist.
The course duration is 60 hours.
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