Big Data Course Syllabus
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Enroll in our Big Data Course at SLA Institute, a top pick for Big Data Training in Chennai. You’ll learn key topics like Hadoop, Spark, and data analytics methods. Gain practical skills in managing large datasets using tools such as HDFS and Spark SQL. With our course offering Lifetime Placement Support, you’ll be ready for a successful career in data analytics. SLA Institute provides exceptional technical training, soft skills development, and placement assistance to prepare you for roles in data science and analytics. Join our Big Data Course with 100% Placement Support to improve your skills, gain confidence, and secure promising job opportunities in the field. Start your journey into Big Data with SLA Institute today.
Course Syllabus
Download SyllabusBig Data Introduction
- Hadoop Overview
- Architecture Considerations
- Infrastructure
- Platforms And Automation
Use Case Walkthrough
- ETL
- Log Analytics
- Real Time Analytics
NoSQL Introduction
- Traditional RDBMS Approach
- NoSQL Introduction
- Hadoop & Hbase Positioning
Hbase Introduction
- What It Is, What It Is Not, Its History And Common Use-Cases
- Hbase Client – Shell, Exercise
Hbase Architecture
- Building Components
- Storage, B+ Tree, Log Structured Merge Trees
- Region Lifecycle
- Read/Write Path
Hbase Schema Design
- Introduction To Hbase Schema
- Column Family, Rows, Cells, Cell Timestamp
- Deletes
- Exercise – Build A Schema, Load Data, Query Data
Hbase Java API – Exercises
- Connection
- CRUD API
- Scan API
- Filter
- Counters
- Hbase MapReduce
- Hbase Bulk Load
Hbase Operations, Cluster Management
- Performance Tuning
- Advanced Features
- Exercise
- Recap And Q&A
- MapReduce for Developers
Hadoop In The Enterprise
- Where Hadoop Fits In The Enterprise
- Review Use Cases
Architecture
- Hadoop Architecture & Building Blocks
- HDFS And MapReduce
Hadoop CLI
- Walkthrough
- Exercise
MapReduce Programming
- Fundamentals
- Anatomy Of MapReduce Job Run
- Job Monitoring, Scheduling
- Sample Code Walk Through
- Hadoop API Walk Through
- Exercise
MapReduce Formats
- Input Formats, Exercise
- Output Formats, Exercise
Hadoop File Formats
- MapReduce Design
- Considerations
- Hadoop File Formats
- MapReduce Algorithms
- Walkthrough Of 2-3
- Algorithms
MapReduce Features
Accordion Content
Use Case A (Long Exercise)
- Oozie
- Flume
- Sqoop
- Exercise 1 (Sqoop)
- Streaming API
- Exercise 2 (Streaming API)
- Hcatalog
- Zookeeper
- Input Formats, Exercise
- Output Formats, Exercise
