HBase - The Hadoop Database : learn by example

About Course

• Prerequisites: Working with HBase requires knowledge of Java

  Taught by a team which includes 2 Stanford-educated, ex-Googlers  and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with large-scale data processing jobs. 

  Relational Databases are so stuffy and old! Welcome to HBase - a database solution for a new age. 

  HBase: Do you feel like your relational database is not giving you the flexibility you need anymore? Column oriented storage, no fixed schema and low latency make HBase a great choice for the dynamically changing needs of your applications. 

  What's Covered: 

  25 solved examples covering all aspects of working with data in HBase
  CRUD operations in the shell and with the Java API, Filters, Counters, MapReduce 

  Implement your own notification service for a social network using HBase

  HBase and it’s role in the Hadoop ecosystem, HBase architecture and what makes HBase different from RDBMS and other Hadoop technologies like Hive. 

Curriculam

• Section 1: You, This Course and Us
  	Lecture 1	You, This Course and Us Preview	01:50
  Section 2: Introduction to HBase
  	Lecture 2	The problem with distributed computing Preview	07:17
  	Lecture 3	Installing HBase	10:57
  	Lecture 4	The Hadoop ecosystem Preview	08:01
  	Lecture 5	The role of HBase in the Hadoop ecosystem	09:42
  	Lecture 6	How is HBase different from RDBMS?	03:10
  	Lecture 7	HBase Data Model	10:44
  	Lecture 8	Introducing CRUD operations	08:32
  	Lecture 9	HBase is different from Hive	04:48
  Section 3: CRUD operations using the HBase Shell
  	Lecture 10	Example1 - Creating a table for User Notifications Preview	05:23
  	Lecture 11	Example 2 - Inserting a row	03:51
  	Lecture 12	Example 3 - Updating a row	03:14
  	Lecture 13	Example 4 - Retrieving a row	04:24
  	Lecture 14	Example 5 - Retrieving a range of rows	03:47
  	Lecture 15	Example 6 - Deleting a row	02:11
  	Lecture 16	Example 7 - Deleting a table	02:17
  Section 4: CRUD operations using the Java API
  	Lecture 17	Example 8 - Creating a table with HBaseAdmin	06:36
  	Lecture 18	Example 9 - Inserting a row using a Put object Preview	08:33
  	Lecture 19	Example 10 - Inserting a list of Puts	03:30
  	Lecture 20	Example 11 - Retrieving data - Get and Result objects	10:55
  	Lecture 21	Example 12 - A list of Gets	03:34
  	Lecture 22	Example 13 - Deleting a row	02:25
  	Lecture 23	Example 14 - A list of Deletes	02:36
  	Lecture 24	Example 15 - Mix and match with batch operations	06:02
  	Lecture 25	Example 16 - Scanning a range of rows	08:06
  	Lecture 26	Example 17 - Deleting a table	03:50
  Section 5: HBase Architecture
  	Lecture 27	HBase Architecture	09:20
  Section 6: Advanced operations - Filters and Counters
  	Lecture 28	Example 18 - Filter by Row id - RowFilter	08:56
  	Lecture 29	Example 19 - Filter by column value - SingleColumnValueFilter	05:13
  	Lecture 30	Example 20 - Apply multiple conditions - Filterlist Preview	04:31
  	Lecture 31	Example 21 - Retrieve rows within a time range Preview	02:11
  	Lecture 32	Example 22 - Atomically incrementing a value with Counters	07:31
  Section 7: MapReduce with HBase
  	Lecture 33	Example 23 : A MapReduce task to count Notifications by Type	10:24
  	Lecture 34	Example 23 continued: Implementing the MapReduce in Java	13:35
  	Lecture 35	Demo : Running a MapReduce task	02:21
  Section 8: Build a Notification Service
  	Lecture 36	Example 24 : Implement a Notification Hierarchy	13:30
  	Lecture 37	Example 25: Implement a Notifications Manager	12:05
  Section 9: Installing Hadoop in a Local Environment
  	Lecture 38	Hadoop Install Modes	08:32
  	Lecture 39	Setup a Virtual Linux Instance (For Windows users)	15:31
  	Lecture 40	Hadoop Standalone mode Install	09:33
  	Lecture 41	Hadoop Pseudo-Distributed mode Install	14:25

What included in this Course?

• • Set up a database for your application using HBase
  • Integrate HBase with MapReduce for data processing tasks
  • Create tables, insert , read and delete data from HBase
  • Get an all round understanding of HBase and it's role in the Hadoop ecosystem

Who should buy this course?

• • Anyone who is interested in understanding HBase, NoSQL and distributed database management
  • Engineers who want to move away from RDBMS and use HBase for their database solution
  • Folks who are using Hadoop ecosystem tools for analytical processing and want a single system for both OLAP and OLTP