Hadoop Training

Hadoop TrainingLycasoft Technologies is the NO.1 Hadoop training institute offering the best Hadoop training in Coimbatore, expert guidance and 100% placement assistance.

Are you seeking a Hadoop job? Are you an IT professional longing for a career change in Hadoop? Are you a data analyst looking to acquire the best Hadoop project support? Are you a team looking for the best Hadoop classroom training and real-time hands-on training on big data? Are you looking for a fast track Hadoop course? Are you willing to do one on one Hadoop training in Coimbatore? Are you keen to undergo live online training on Hadoop? Are you a college student interested to learn data analytics? Do you need Hadoop project support on the job?

If any of these above questions is hitting your mind, Don’t worry…We are here to help you with Hadoop course. From the day 1 until the course completion, Lycasoft management and our well-qualified data analytics tutors will provide you the unique, supportive and convenient learning environment. So, you can make use of this golden opportunity to learn a technology from the scratch until advanced programming.

Why Hadoop?

The data is typically loosely structured data that is often incomplete and inaccessible. When dealing with larger datasets, organizations face difficulties in being able to create, manipulate, and manage big data. Big data is particularly a problem in business analytics because standard tools and procedures are not designed in the way of search and analyze massive data sets.

SECTION 1: INTRODUCTION TO BIG DATA-HADOOP

  • Overview of Hadoop Ecosystem
  • Role of Hadoop in Big data– Overview of other Big Data Systems
  • Who is using Hadoop
  • Hadoop integrations into Exiting Software Products
  • Current Scenario in the Hadoop Ecosystem
  • Installation
  • Configuration
  • Use Cases of Hadoop (HealthCare, Retail, Telecom)

SECTION 2: HDFS

  • Concepts
  • Architecture
  • Data Flow (File Read, File Write)
  • Fault Tolerance
  • Shell Commands
  • Data Flow Archives
  • Coherency -Data Integrity
  • Role of Secondary NameNode

SECTION 3: MapReduce

  • Theory
  • Data Flow (Map – Shuffle – Reduce)
  • MapRed vs MapReduce APIs
  • Programming [Mapper, Reducer, Combiner, Partitioner]
  • Writables
  • InputFormat
  • Output format
  • Streaming API using python
  • Inherent Failure Handling using Speculative Execution
  • The magic of Shuffle Phase
  • FileFormats
  • Sequence Files

SECTION 4: HBASE

  • Introduction to NoSQL
  • CAP Theorem
  • Classification of NoSQL
  • Hbase and RDBMS
  • HBASE and HDFS
  • Architecture (Read Path, Write Path, Compactions, Splits)
  • Installation
  • Configuration
  • Role of Zookeeper
  • HBase Shell  Introduction to Filters
  • RowKeyDesign -What’s New in HBase  Hands-On

SECTION 5: HIVE

  • Architecture
  • Installation
  • Configuration
  • Hive vs RDBMS
  • Tables
  • DDL
  • DML
  • UDF
  • Partitioning
  • Bucketing
  • Hive functions
  • Date functions
  • String functions
  • Cast function Meta Store
  • Joins
  • Real-time HQL will be shared along with database migration project

SECTION 6: PIG

  • Architecture
  • Installation
  • Hive vs Pig
  • Pig Latin Syntax
  • Data Types
  • Functions (Eval, Load/Store, String, DateTime)
  • Joins
  • UDFs- Performance
  • Troubleshooting
  • Commonly Used Functions

SECTION 7: SQOOP

  • Architecture, Installation, Commands(Import, Hive-Import, EVal, Hbase Import, Import All tables, Export)
  • Connectors to Existing DBs and DW

SECTION 8: KAFKA

  • Kafka introduction
  • Data streaming Introduction
  • Producer-consumer-topics
  • Brokers
  • Partitions
  • Unix Streaming via Kafka

SECTION 9: OOZIE

  • Architecture
  • Installation
  • Workflow
  • Coordinator
  • Action (MapReduce, Hive, Pig, Sqoop)
  • Introduction to Bundle
  • Mail Notifications

SECTION 10: HADOOP 2.0 AND SPARK

  • Limitations in Hadoop
  • 1.0 – HDFS Federation
  • High Availability in HDFS
  • HDFS Snapshots
  • Other Improvements in HDFS2
  • Introduction to YARN aka MR2
  • Limitations in MR1
  • Architecture of YARN
  • MapReduce Job Flow in YARN
  • Introduction to Stinger Initiative and Tez
  • BackWard Compatibility for Hadoop 1.X
  • Spark Fundamentals
  • RDD- Sample Scala Program- Spark Streaming

Hadoop Course Features

  • Backup Hadoop Classes
  • Experienced Hadoop Trainers
  • Hadoop Online Training
  • Hadoop Classroom Training
  • Hadoop Corporate Training
  • Affordable Hadoop Training Cost
  • Hadoop Course Completion Certificate
  • Personality Development Training
  • Hands-on Training
  • Resume Preparation
  • Career Counselling
  • Placement Assistance
  • Live Project Support
  • Free Wi-Fi
  • Free Parking Facility

Hadoop is an open source framework developed by a non-profit corporation (ASF). So, it has no official certification available but there are some other private Certifications available right now. These are accepted by a lot of companies. For example, CCA Spark and Hadoop Developer Certification by Cloudera Inc. and HDP Certified Developer and HDP Certified Java Developer Certifications by Hortonworks. Our Hadoop training covers the basics of all these exams and you can easily clear the certification exams with the knowledge you learned and the guidance of our placement cell. But you won’t need these certifications to get a job because you would be placed as soon as you had successfully completed our Hadoop training.

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