BIG DATA AND HADOOP TRAINING

  • YAYI Entrance

YAYI training offers, a quality classroom BIG DATA AND HADOOP training  , that will empower you to up skill yourself to get a new or better jobs.

We don't allow many students in a batch, which enables us to give the required attention to each individual student according to his/her training requirement. That is why we are flexible with course timings, syllabus etc.

YAYI Training is the brainchild of engineers with more than 20 years of IT experience. Our  trainer has got more than 12 years of IT experience with exposures to other countries like USA. He will be sharing his work experience during the course, which will benefit our students in their real time job.

We offer this BIG DATA AND HADOOP course at our training facility near Kristu Jayanti college and Manyata Tech Park.


Other than the above course, we also offer Basic computer course, computer hardware and windows 10, core java and JEE, redhat linux courses.

For any other inquiries , please call us at our mobile number 7625029652

CLASSROOM LOCATION - HOW TO REACH?

We are located at K.Narayanapura main road, at Shirdi Sai Nagar 1st cross. If you are coming from Jayanagar, Basavanagudi, Vidhana Soudha, R.T Nagar, Sanjayanagar, first come to Hebbal flyover. From Hebbal flyover , reach Nagawara or Manyata Tech Park and take left turn at the nagawara signal towards Thanisandra. Travel straight in main road and before Hegdenagar, at the signal, take right turn.After about 1/2, km you get our classroom at your left side. If your are coming from Whitefield,KR Puram,Banasavadi, Kammanahalli, Indiranagar, M.G road, Commercial street, first reach Hennur road , near ring road. Then come to Kothanur and take the left turn at K.Narayanapura main road. After taking left turn, within 1.5KM, you will get YAYI training at your right side.

hadoop

HADOOP ESSENTIALS

Course Name Hadoop essentials Duration 16 Hours Pre requisite Java & SQL

Hadoop essentials course fee - 6,900/-

Please call our mobile number 7625029652 for any new offers and discounts in this month.

Hadoop essentials course content

Hadoop Introduction

• What is Big Data?
• Source of Data
• Characteristics of Big Data
• Benefits of Big Data analysis
• Challenges in Big Data processing
• Why Hadoop for Big Data?
• Introduction to Hadoop
• Hadoop not good for …
• Hadoop Ecosystem
• Hadoop Installation

Hadoop Distribute File System (HDFS)

• Hadoop Distributed File System (HDFS)
• HDFS Architecture
• Types of Nodes in HDFS
• Data Flow
• HDFS Block
• HDFS Federation
• HDFS High Availability (HA)
• HDFS Commands
• Hadoop Archives
• HDFS Accessibility

MapReduce Framework

• MapReduce Introduction
• How does MapReduce work?
• MapReduce Program
• MapReduce program execution
• MapReduce program Unit Testing
• Behind the Scenes : MapReduce
• Hadoop streaming
• Combiner
• Partitioner
• Counters

hadoop

HADOOP ADVANCED

Course Name Hadoop essentials Duration 40 Hours Pre requisite Hadoop essentials

Hadoop essentials course fee - 11,900/-

Please call our mobile number 7625029652 for any new offers and discounts in this month.

Hadoop advanced course content

Hadoop Introduction

• What is Big Data?
• Source of Data
• Characteristics of Big Data
• Benefits of Big Data analysis
• Challenges in Big Data processing
• Why Hadoop for Big Data?
• Introduction to Hadoop
• Hadoop not good for …
• Hadoop Ecosystem
• Hadoop Installation

Hadoop Distribute File System (HDFS)

• Hadoop Distributed File System (HDFS)
• HDFS Architecture
• Types of Nodes in HDFS
• Data Flow
• HDFS Block
• HDFS Federation
• HDFS High Availability (HA)
• HDFS Commands
• Hadoop Archives
• HDFS Accessibility

MapReduce Framework

• MapReduce Introduction
• How does MapReduce work?
• MapReduce Program
• MapReduce program execution
• MapReduce program Unit Testing
• Behind the Scenes : MapReduce
• Hadoop streaming
• Combiner
• Partitioner
• Counters

Hive

• Hive Introduction
• Installing & Running Hive
• Hive Components
• Hive Metastore
• HiveQL
• Hive Data Model
• Querying Data
• User-Defined Functions

Pig

• Pig Introduction
• How it works?
• Execution Types
• Running Pig Programs
• Pig Latin
• User-Defined Functions
• Data Processing Operators
• Pig Best Practices

Additional Concepts

• Introduction to HBase
• HBase Architecture
• HBase Practical
• Introduction to SQOOP
• Import data into Hadoop using SQOOP
• Introduction to Flume
• Practical example with Flume