Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Master Big Data Ingestion and Analytics with Flume, Sqoop, Hive and Spark
Master Big Data Ingestion and Analytics with Flume, Sqoop, Hive and Spark

Master Big Data Ingestion and Analytics with Flume, Sqoop, Hive and Spark: A complete course on Sqoop, Flume, and Hive: Ideal for achieving CCA175 and Hortonworks Spark Certification

Arrow left icon
Profile Icon Navdeep Kaur
Arrow right icon
£70.99
Video Jul 2019 5hrs 38mins 1st Edition
Video
£70.99
Subscription
Free Trial
Renews at £16.99p/m
Arrow left icon
Profile Icon Navdeep Kaur
Arrow right icon
£70.99
Video Jul 2019 5hrs 38mins 1st Edition
Video
£70.99
Subscription
Free Trial
Renews at £16.99p/m
Video
£70.99
Subscription
Free Trial
Renews at £16.99p/m

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
Modal Close icon
Payment Processing...
tick Completed

Billing Address

Key benefits

  • Learn Sqoop, Flume, and Hive and successfully achieve CCA175 and Hortonworks Spark Certification
  • Understand the Hadoop Distributed File System (HDFS), along with exploring Hadoop commands to work effectively with HDFS

Description

In this course, you will start by learning about the Hadoop Distributed File System (HDFS) and the most common Hadoop commands required to work with HDFS. Next, you’ll be introduced to Sqoop Import, which will help you gain insights into the lifecycle of the Sqoop command and how to use the import command to migrate data from MySQL to HDFS, and from MySQL to Hive. In addition to this, you will get up to speed with Sqoop Export for migrating data effectively, along with using Apache Flume to ingest data. As you progress, you will delve into Apache Hive, external and managed tables, working with different files, and Parquet and Avro. Toward the concluding section, you will focus on Spark DataFrames and Spark SQL. By the end of this course, you will have gained comprehensive insights into big data ingestion and analytics with Flume, Sqoop, Hive, and Spark. All code and supporting files are available at - https://github.com/PacktPublishing/Master-Big-Data-Ingestion-and-Analytics-with-Flume-Sqoop-Hive-and-Spark

Who is this book for?

This course is for anyone who wants to learn Sqoop and Flume or those looking to achieve CCA and HDP certification.

What you will learn

  • Explore the Hadoop Distributed File System (HDFS) and commands
  • Get to grips with the lifecycle of the Sqoop command
  • Use the Sqoop Import command to migrate data from MySQL to HDFS and Hive
  • Understand split-by and boundary queries
  • Use the incremental mode to migrate data from MySQL to HDFS
  • Employ Sqoop Export to migrate data from HDFS to MySQL
  • Discover Spark DataFrames and gain insights into working with different file formats and compression

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 17, 2019
Length: 5hrs 38mins
Edition : 1st
Language : English
ISBN-13 : 9781839212734
Vendor :
Apache
Category :
Languages :
Concepts :

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
Modal Close icon
Payment Processing...
tick Completed

Billing Address

Product Details

Publication date : Jul 17, 2019
Length: 5hrs 38mins
Edition : 1st
Language : English
ISBN-13 : 9781839212734
Vendor :
Apache
Category :
Languages :
Concepts :

Packt Subscriptions

See our plans and pricing
Modal Close icon
£16.99 billed monthly
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Simple pricing, no contract
£169.99 billed annually
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
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 £5 each
Feature tick icon Exclusive print discounts
£234.99 billed in 18 months
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
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 £5 each
Feature tick icon Exclusive print discounts

Frequently bought together


Stars icon
Total £ 162.97
Master Big Data Ingestion and Analytics with Flume, Sqoop, Hive and Spark
£70.99
Big Data Architect???s Handbook
£45.99
Mastering Hadoop 3
£45.99
Total £ 162.97 Stars icon
Banner background image

Table of Contents

9 Chapters
Hadoop Introduction Chevron down icon Chevron up icon
Sqoop Import Chevron down icon Chevron up icon
Sqoop Export Chevron down icon Chevron up icon
Apache Flume Chevron down icon Chevron up icon
Apache Hive Chevron down icon Chevron up icon
Spark Introduction Chevron down icon Chevron up icon
Spark Transformations & Actions Chevron down icon Chevron up icon
Spark RDD Practice Chevron down icon Chevron up icon
Spark Dataframes & Spark SQL Chevron down icon Chevron up icon
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

How can I download a video package for offline viewing? Chevron down icon Chevron up icon
  1. Login to your account at Packtpub.com.
  2. Click on "My Account" and then click on the "My Videos" tab to access your videos.
  3. Click on the "Download Now" link to start your video download.
How can I extract my video file? Chevron down icon Chevron up icon

All modern operating systems ship with ZIP file extraction built in. If you'd prefer to use a dedicated compression application, we've tested WinRAR / 7-Zip for Windows, Zipeg / iZip / UnRarX for Mac and 7-Zip / PeaZip for Linux. These applications support all extension files.

How can I get help and support around my video package? Chevron down icon Chevron up icon

If your video course doesn't give you what you were expecting, either because of functionality problems or because the content isn't up to scratch, please mail [email protected] with details of the problem. In addition, so that we can best provide the support you need, please include the following information for our support team.

  1. Video
  2. Format watched (HTML, MP4, streaming)
  3. Chapter or section that issue relates to (if relevant)
  4. System being played on
  5. Browser used (if relevant)
  6. Details of support
Why can’t I download my video package? Chevron down icon Chevron up icon

In the even that you are having issues downloading your video package then please follow these instructions:

  1. Disable all your browser plugins and extensions: Some security and download manager extensions can cause issues during the download.
  2. Download the video course using a different browser: We've tested downloads operate correctly in current versions of Chrome, Firefox, Internet Explorer, and Safari.