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CCA 159: Expert in Big Data Analytics - Advance Hive & Sqoop
CCA 159: Expert in Big Data Analytics - Advance Hive & Sqoop

CCA 159: Expert in Big Data Analytics - Advance Hive & Sqoop: Big data certification for non-programmers, business analysts, testers, and SQL developers

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Profile Icon Navdeep Kaur
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AU$171.99
Video Jul 2019 3hrs 35mins 1st Edition
Video
AU$171.99
Subscription
Free Trial
Renews at AU$24.99p/m
Arrow left icon
Profile Icon Navdeep Kaur
Arrow right icon
AU$171.99
Video Jul 2019 3hrs 35mins 1st Edition
Video
AU$171.99
Subscription
Free Trial
Renews at AU$24.99p/m
Video
AU$171.99
Subscription
Free Trial
Renews at AU$24.99p/m

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Key benefits

  • Get to grips with Hive and Sqoop for big data analytics and ingestion
  • Become well-versed with the essential topics and concepts and achieve CCA159 (Cloudera Big Data Analyst) certification
  • Get to grips with data types and complex data types

Description

This course will help you understand Hive, along with preparing you to achieve CCA159 (Cloudera Big Data Analyst) certification. You will start by delving into Hadoop and its distributed file system. Next, you’ll become well-versed with the most common Hadoop commands you'll need to work with Hadoop file systems. Later, you’ll explore the Apache Hive, starting with an introduction to it, before moving on to understanding external and managed tables. The next few sections will take you through insert and multi-insert. As you progress, the course will provide insights into different functions such as collection, conditional, Hive string functions, Hive date functions, and mathematical functions. In addition to this, you’ll learn to work with different file formats and compressions. By the end of this course, you’ll have comprehensive knowledge of Hive and Sqoop and gained the skills you need to pass the CCA Data Analyst Exam. All code and supporting files are available at - https://github.com/PacktPublishing/CCA-159-Expert-in-Big-Data-Analytics---Advance-Hive-Sqoop

Who is this book for?

This course is for anyone who wants to achieve CCA159 Cloudera Big Data Analyst certification or simply learn Hive and Sqoop.

What you will learn

  • Delve into Hive analysis
  • Get to grips with the ALTER TABLE command
  • Explore joins, multi-joins and Map joins
  • Work with different files such as Parquet and Avro
  • Understand partitioning and bucketing
  • Focus on views
  • Get up to speed with lateral views/explode
  • Delve into window functions - Rank/Dense Rank/Lead/Lag/Min/Max
  • Explore the window specification

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 17, 2019
Length: 3hrs 35mins
Edition : 1st
Language : English
ISBN-13 : 9781839218934
Vendor :
Apache
Category :
Languages :
Concepts :
Tools :

What do you get with a video?

Product feature icon Download this video in MP4 format
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
OR
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Payment Processing...
tick Completed

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Product Details

Publication date : Jul 17, 2019
Length: 3hrs 35mins
Edition : 1st
Language : English
ISBN-13 : 9781839218934
Vendor :
Apache
Category :
Languages :
Concepts :
Tools :

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AU$349.99 billed in 18 months
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
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Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just AU$5 each
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Table of Contents

10 Chapters
Hadoop Introduction Chevron down icon Chevron up icon
Hive Chevron down icon Chevron up icon
Hive Data Types Chevron down icon Chevron up icon
Hive Functions Chevron down icon Chevron up icon
Hive Join Chevron down icon Chevron up icon
Working with Different File Formats & Compressions Chevron down icon Chevron up icon
Advance Hive Chevron down icon Chevron up icon
Hive Windows Function Chevron down icon Chevron up icon
Sqoop Import Chevron down icon Chevron up icon
Sqoop Import Chevron down icon Chevron up icon
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