Duration: 3h 30m | Video: h264 1280×720 | Audio: AAC 48kHz 2Ch | 1.3 GB
Genre: eLearning | Language: English | 19 Aug 2019
Learn
Hive Intro
External & Managed Tables
Insert & Multi Insert
Data Types & Complex Data Types
Collection Function
Conditional Function
Hive String Functions
Hive Date Functions
Mathematical Function
Hive Analysis
Alter Command
Joins, Multi Joins & Map Joins
Working with Different Files – Parquet, Avro
Compressions
About
This course will prepare you for advanced Hive and get you ready to take the CCA159 (Cloudera Big Data Analyst) certification
You will start by learning what Hadoop and its distributed file system are and you’ll master the most common Hadoop commands you’ll need to work with Hadoop file systems. Then we explore the Apache Hive [Advanced]:
Hive intro
External and managed tables
Insert and multi insert
Data types and complex data types
Collection function
Conditional function
Hive string functions
Hive date functions
Mathematical functions
Hive analysis
The Alter command
Joins, multi joins, and map Joins
Working with different files: Parquet and Avro
Compression
Partitioning
Bucketing
Views
Lateral Views/Explode
Windowing functions – Rank/Dense Rank/lead/lag/min/max
Window specification
All the codes and supporting files are available at: https://github.com/PacktPublishing/CCA-159-Expert-in-Big-Data-Analytics—Advance-Hive-Sqoop
Features
Master advanced Hive and Sqoop for big data analytics and ingestion
Master advanced Hive and prepare for the CCA159 (Cloudera Big Data Analyst) certification
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