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Quick Facts
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course and certificate fees
Fees information
₹ 449 ₹2,299
certificate availability
Yes
certificate providing authority
Udemy
The syllabus
You, This Course and Us
Introduction to HBase
- The problem with distributed computing
- Installing HBase
- The Hadoop ecosystem
- The role of HBase in the Hadoop ecosystem
- How is HBase different from RDBMS?
- HBase Data Model
- Introducing CRUD operations
- HBase is different from Hive
CRUD operations using the HBase Shell
- [For Linux/Mac OS Shell Newbies] Path and other Environment Variables
- Example1 - Creating a table for User Notifications
- Example 2 - Inserting a row
- Example 3 - Updating a row
- Example 4 - Retrieving a row
- Example 5 - Retrieving a range of rows
- Example 6 - Deleting a row
- Example 7 - Deleting a table
CRUD operations using the Java API
- Example 8 - Creating a table with HBaseAdmin
- Example 9 - Inserting a row using a Put object
- Example 10 - Inserting a list of Puts
- Example 11 - Retrieving data - Get and Result objects
- Example 12 - A list of Gets
- Example 13 - Deleting a row
- Example 14 - A list of Deletes
- Example 15 - Mix and match with batch operations
- Example 16 - Scanning a range of rows
- Example 17 - Deleting a table
HBase Architecture
- HBase Architecture
Advanced operations - Filters and Counters
- Example 18 - Filter by Row id - RowFilter
- Example 19 - Filter by column value - SingleColumnValueFilter
- Example 20 - Apply multiple conditions - Filterlist
- Example 21 - Retrieve rows within a time range
- Example 22 - Atomically incrementing a value with Counters
MapReduce with HBase
- Example 23 : A MapReduce task to count Notifications by Type
- Example 23 continued: Implementing the MapReduce in Java
- Demo : Running a MapReduce task
Build a Notification Service
- Example 24 : Implement a Notification Hierarchy
- Example 25: Implement a Notifications Manager
Installing Hadoop in a Local Environment
- Hadoop Install Modes
- Hadoop Install Step 1 : Standalone Mode
- Hadoop Install Step 2 : Pseudo-Distributed Mode
- Setting up a Virtual Linux Instance - For Windows Users
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