Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
RELATIONAL DATA ANALYSIS WITH HIVE 
 Hive Databases and Tables 
 Basic HiveQL Syntax 
 Data Types 
 Joining Data Sets ...
HIVE - DATABASES 
 Create Database 
 Observe warehouse and meta store 
 Few Commands
TABLES 
 Create Table 
 View Meta Information of a table 
 Alter a table . 
 Dropping a table. 
3
Upcoming SlideShare
Loading in …5
×

Hive pdf

1,635 views

Published on

The key objectives of this online Big Data Hadoop Tutorial and training program are to enable developers to:

Programming in YARN (MRv2) latest version of Hadoop Release 2.0
Implementation of HBase, MapReduce Integration, Advanced Usage and Advanced Indexing.
Advance Map Reduce exercises – examples of Facebook sentiment analysis , LinkedIn shortest path algorithm, Inverted indexing.
Derive an insight into the field of Data Science
Understand the Apache Hadoop framework
Learn to work with Hadoop Distributed File System (HDFS)
Implement Multi node cluster using 3-4 instances of Amazon ec2.
Learn how MapReduce interacts with data and processes them
Ability to design and develop applications involving large data using Hadoop eco system.
Differentiate between new as well as old APIs for Hadoop
Understand how YARN engages in managing compute resources into clusters

Last but not the least, the Hadoop online tutorial program prepares programmers for better career opportunities in the world of Big Data!

Published in: Technology
  • D0WNL0AD FULL ▶ ▶ ▶ ▶ http://1lite.top/aDRXc ◀ ◀ ◀ ◀
       Reply 
    Are you sure you want to  Yes  No
    Your message goes here
  • Be the first to like this

Hive pdf

  1. 1. RELATIONAL DATA ANALYSIS WITH HIVE  Hive Databases and Tables  Basic HiveQL Syntax  Data Types  Joining Data Sets  Common Built-in Functions  Hands-On Exercise: Running Hive Queries on the Shell, Scripts, and Hue
  2. 2. HIVE - DATABASES  Create Database  Observe warehouse and meta store  Few Commands
  3. 3. TABLES  Create Table  View Meta Information of a table  Alter a table .  Dropping a table. 3

×