Big Data Hadoop Practical Training Course in Delhi
Take a Look to Our Big Data Hadoop Training Course
Industry-oriented certification Big Data Hadoop training course to furnish your career to kick-start/grow at MNCs/Non-MNCs Organization & corporate.
Professional expert Sr. Lead Analyst / Technical Analyst With 10+ Years of working experience will provide you industrial level training.
Receive placement assistance after completion of 70% training, SLA team will arrange interviews till you’ll get the placement.
You can attain the practical training session to get the indutrial exposure & prepare for the corporate level challanges.
You’ll attain knowledge on bases of real-time scenarios, live projects & best case study to complete SLA workshop.
SLA’s 7 days working admin team co-ordinates you for the fresh batch schedule/re-scheduling classes/arrange doubt classes.
Big Data Hadoop Programme Details
Course Duration: 45 HRS with Highly Skilled Corporate Trainers
Big Data with Hadoop Training for below Modules-Weekdays/Weekend
SLA Consultants Delhi – Big Data with Hadoop Certification Training & Delivery Method:
- Web / Desktop Base.
- Instructor-Led Classroom Sessions.
- Presentations/Demonstration/Practicals of concepts.
- Handouts/Assignments/Real-time Exposure to work on Clients.
Big Data Hadoop Programme Modules
Big Data Hadoop Certification Training Modules
- Big Data Overview
- How to Process Big Data?
- What is Hadoop?
- Features and Elements of Hadoop
- Uses of Hadoop
- Hadoop Ecosystem
- Data Analytics Structure
- Rdbms Vs Hadoop
- Installation and Configuration
- Importance Of Hdfs
- Hdfs Features
Daemons Of Hadoop
- Name Node
- Data Node
- Secondary Name Node
- Job Tracker
- Task Tracker
- Hadoop 2x Configuration Files
- Data Storage In Hdfs
- Accessing Hdfs
- Fault Tolerance
- Hdfs Federation
- Understand Hadoop Mapreduce Framework
- Working With Mapreduce In Hdfs
- Concepts Of Input Splits, Combiner And Partitioner And Demos In Mapreduce
- Traditional Wav S Mapreduce Way
- Why Mapreduce
- Hadoop 2x Mapreduce Architecture And Components
- Yarn Workflow
- How Mapreduce Works
- Mapreduce Algorithms
- Writing Mapreduce Program
- 3mapper And Reducer
- Input And Output Format In Mapreduce
- Data Localization
- Hadoop I/O
- Understanding Pig
- Pig Use Cases
- Pig Vs Mapreduce
- Pig Scripting And Running Modes
- Programming Structure In Pig
- Data Types In Pig
- Execution Modes In Pig
- Loading Data And Exploring Pig
- Latin Commands
- Learn About Hive Concepts
- Data Types In Hive
- Loading And Querying Data In Hive
- Hive Scripts And Udf
- Hive Vs Pig
- Hive Architecture And Components
- Partitions And Buckets
- Hive Vs Rdbms
- Introduction To Hbase
- Advanced Hive Concepts
- Hbase Architecture And Design
- Hbase Vs Rdbms
- Read And Write Pipeline
- Hbase Commands
- Hbase Shell
- Client Api And Data Loading Techniques
- Zoopkeeper Service
- Hadoop Integration
- Introduction to Talend
- Loading Data From Rdbms Into Hdfs Using Sqoop and Talend
- Managing Real Time Data Using Flume
- Other Important Data Analysis Features with Hadoop Elements
- Solving Big Data Issues
- Discussing Data Sets
- Live Training Under Expert Supervision
- Module Wise Assignments
Find the course details below.
Duration of Module
|Big Data Hadoop
|| 45 (Hours)