[BEST SELLER] [UDEMY] [100% OFF] From 0 to 1: Hive for Processing Big Data, $50
#1
Wink 
From 0 to 1: Hive for Processing Big Data

End-to-End Hive : HQL, Partitioning, Bucketing, UDFs, Windowing, Optimization, Map Joins, Indexes

Includes:
15.5 hours on-demand video
137 Supplemental Resources
Full lifetime access

What Will I Learn?
  • Write complex analytical queries on data in Hive and uncover insights
  • Leverage ideas of partitioning, bucketing to optimize queries in Hive
  • Customize hive with user defined functions in Java and Python
  • Understand what goes on under the hood of Hive with HDFS and MapReduce

Description
Prerequisites: Hive requires knowledge of SQL. The course includes and SQL primer at the end. Please do that first if you don't know SQL. You'll need to know Java if you want to follow the sections on custom functions. 

 Hive is like a new friend with an old face (SQL). This course is an end-to-end, practical guide to using Hive for Big Data processing. 

Let's parse that 
Quote:A new friend with an old face: Hive helps you leverage the power of Distributed computing and Hadoop for Analytical processing. It's interface is like an old friend : the very SQL like HiveQL. This course will fill in all the gaps between SQL and what you need to use Hive. 

End-to-End: The course is an end-to-end guide for using Hive:  whether you are analyst who wants to process data  or an Engineer who needs to build custom functionality or optimize performance - everything you'll need is right here. New to SQL? No need to look elsewhere. The course  has a primer on all the basic SQL constructs, . 

Practical: 
Everything is taught using real-life examples, working queries and code . 



What's Covered: 
Quote:Analytical Processing: Joins, Subqueries, Views, Table Generating Functions, Explode, Lateral View, Windowing and more

Tuning Hive for better functionality: 
Partitioning, Bucketing, Join Optimizations, Map Side Joins, Indexes, Writing custom User Defined functions in Java. UDF, UDAF, GenericUDF, GenericUDTF,  Custom functions in Python,  Implementation of MapReduce for Select, Group by and Join


For SQL Newbies: SQL In Great Depth


HERE
Reply


Forum Jump:


Users browsing this thread: 1 Guest(s)
[-]
Welcome
You have to register before you can post on our site.

Username/Email:


Password:





[-]
Recent Posts
K-Lite Codec Pack 18.8.0 / 18.8.2 Update
Changes in 18.8.2 ...harlan4096 — 18:07
Apple Releases iOS 18.3.2 and macOS Sequ...
Apple Releases iOS...harlan4096 — 18:06
Opera 117.0.5408.93
Hello! A new st...harlan4096 — 18:01
Paint.NET 5.1.5
Paint.NET 5.1.5 - ...harlan4096 — 18:00
Brave 1.76.74
Release Channel 1....harlan4096 — 17:59

[-]
Birthdays
Today's Birthdays
avatar (41)napasvem
avatar (43)diploJeoca
Upcoming Birthdays
avatar (43)gapedDow
avatar (37)snorydar
avatar (42)Hectorvot
avatar (50)knowhanPluts
avatar (38)Williamengiz
avatar (45)qaqapeti
avatar (43)battsourIonix
avatar (42)CedricSek
avatar (38)chasRex
avatar (50)tersfargum
avatar (49)alfreExept
avatar (32)uteluxix
avatar (46)piafcflene
avatar (38)Matthewkah
avatar (37)Charlesfibre
avatar (37)francisnj3
avatar (42)artmaGoork
avatar (40)RichardCisee

[-]
Online Staff
harlan4096's profile harlan4096
Administrator
zevish's profile zevish

>