Our Big Data Course Syllabus is guaranteed to make you interested in the subject easily. Our Big Data Syllabus is curated by our very own experts from the IT industry. This makes the syllabus up-to-date and reliable. Some of the modern topics taught in our course are Yarn, HDFS, Map Reduce etc. These elements will surely make you understand Big Data, more profoundly than ever. So, our Big Data Trainingis the best choice for you to get the best Big Data education.
Big Data Course Syllabus
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Syllabus for The Big Data Course
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Big Data Introduction
1
- Hadoop Overview
- Architecture Considerations
- Infrastructure
- Platforms And Automation
Use Case Walkthrough
2
- ETL
- Log Analytics
- Real Time Analytics
NoSQL Introduction
3
- Traditional RDBMS Approach
- NoSQL Introduction
- Hadoop & Hbase Positioning
Hbase Introduction
4
- What It Is, What It Is Not, Its History And Common Use-Cases
- Hbase Client – Shell, Exercise
Hbase Architecture
5
- Building Components
- Storage, B+ Tree, Log Structured Merge Trees
- Region Lifecycle
- Read/Write Path
Hbase Schema Design
6
- Introduction To Hbase Schema
- Column Family, Rows, Cells, Cell Timestamp
- Deletes
- Exercise – Build A Schema, Load Data, Query Data
Hbase Java API – Exercises
7
- Connection
- CRUD API
- Scan API
- Filter
- Counters
- Hbase MapReduce
- Hbase Bulk Load
Hbase Operations, Cluster Management
8
- Performance Tuning
- Advanced Features
- Exercise
- Recap And Q&A
- MapReduce for Developers
Hadoop In The Enterprise
9
- Where Hadoop Fits In The Enterprise
- Review Use Cases
Architecture
10
- Hadoop Architecture & Building Blocks
- HDFS And MapReduce
Hadoop CLI
11
- Walkthrough
- Exercise
MapReduce Programming
12
- Fundamentals
- Anatomy Of MapReduce Job Run
- Job Monitoring, Scheduling
- Sample Code Walk Through
- Hadoop API Walk Through
- Exercise
MapReduce Formats
13
- Input Formats, Exercise
- Output Formats, Exercise
Hadoop File Formats
14
- MapReduce Design
- Considerations
- Hadoop File Formats
- MapReduce Algorithms
- Walkthrough Of 2-3
- Algorithms
MapReduce Features
15
- ion Content
Use Case A
16
- Oozie
- Flume
- Sqoop
- Exercise 1 (Sqoop)
- Streaming API
- Exercise 2 (Streaming API)
- Hcatalog
- Zookeeper
- Input Formats, Exercise
- Output Formats, Exercise
HBase Introduction
17
- HBase Architecture
- Default Views
- Overriden Views
- Normal Views
- Hadoop Fundamentals And
- Architecture
- Why Hadoop, Hadoop
- Basics And Hadoop
- Architecture
- HDFS And Map Reduce
Hadoop Ecosystems Overview
18
- Hadoop Ecosystems
- Hive
- Hbase
- ZooKeeper
- Pig
- Mahout
- Flume
- Sqoop
- Oozie
- Hardware And Software
- Requirements
- Hardware, Operating
- System And Other Software
- Management Console
Breakdown of Big Data Course Fee and Batches
Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
June 2025
Week days
(Mon-Fri)
Online/Offline
2 Hours Real Time Interactive Technical Training
1 Hour Aptitude
1 Hour Communication & Soft Skills
(Suitable for Fresh Jobseekers / Non IT to IT transition)
Course Fee
June 2025
Week ends
(Sat-Sun)
Online/Offline
4 Hours Real Time Interactive Technical Training
(Suitable for working IT Professionals)
Course Fee
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