Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Modern Big Data Processing with Hadoop
Modern Big Data Processing with Hadoop

Modern Big Data Processing with Hadoop: Expert techniques for architecting end-to-end big data solutions to get valuable insights

Arrow left icon
Profile Icon Shindgikar Profile Icon R Patil Profile Icon Kumar
Arrow right icon
€18.99 per month
Full star icon Full star icon Full star icon Full star icon Half star icon 4.4 (8 Ratings)
Paperback Mar 2018 394 pages 1st Edition
eBook
€17.99 €26.99
Paperback
€32.99
Subscription
Free Trial
Renews at €18.99p/m
Arrow left icon
Profile Icon Shindgikar Profile Icon R Patil Profile Icon Kumar
Arrow right icon
€18.99 per month
Full star icon Full star icon Full star icon Full star icon Half star icon 4.4 (8 Ratings)
Paperback Mar 2018 394 pages 1st Edition
eBook
€17.99 €26.99
Paperback
€32.99
Subscription
Free Trial
Renews at €18.99p/m
eBook
€17.99 €26.99
Paperback
€32.99
Subscription
Free Trial
Renews at €18.99p/m

What do you get with a Packt Subscription?

Free for first 7 days. $19.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing
Table of content icon View table of contents Preview book icon Preview Book

Modern Big Data Processing with Hadoop

Hadoop Life Cycle Management

In this chapter, we will understand the following topics:

  • Data wrangling
  • Data masking
  • Data security

Data wrangling

If you have some experience working on data of some sort, you will recollect that most of the time data needs to be preprocessed so that we can further use it as part of a bigger analysis. This process is called data wrangling.

Let's see what the typical flow in this process looks like:

  • Data acquisition
  • Data structure analysis
  • Information extraction
  • Unwanted data removal
  • Data transformation
  • Data standardization

Let's try to understand these in detail.

Data acquisition

Even though not a part of data wrangling, this phase deals with the process of acquiring data from somewhere. Typically, all data is generated and stored in a central location or is available in files located on some shared storage...

Data masking

Businesses that deal with customer data have to make sure that the PII (personally identifiable information) of these customers is not moving freely around the entire data pipeline. This criterion is applicable not only to customer data but also to any other type of data that is considered classified, as per standards such as GDPR, SOX, and so on. In order to make sure that we protect the privacy of customers, employees, contractors, and vendors, we need to take the necessary precautions to ensure that when the data goes through several pipelines, users of the data see only anonymized data. The level of anonymization we do depends upon the standards the company adheres to and also the prevailing country standards.

So, data masking can be called the process of hiding/transforming portions of original data with other data without losing the meaning or context.

In this...

Data security

Data has become a very important asset for businesses when making very critical decisions. As the complexity of the infrastructure that generates and uses this data, its very important to have some control over the access patterns of this data. In the Hadoop ecosystem, we have Apache Ranger, which is another open source project that helps in managing the security of big data.

What is Apache Ranger?

Apache Ranger is an application that enables data architects to implement security policies on a big data ecosystem. The goal of this project is to provide a unified way for all Hadoop applications to adhere to the security guidelines that are defined.

Here are some of the features of Apache Ranger:

  • Centralized administration...

Summary

In this chapter, we learned about the different data life cycle stages, including when data is created, shared, maintained, archived, retained, and deleted.

This chapter gave you a detailed understanding of how big data is managed, considering the fact that it is either unstructured or semi-structured and it has a fast arrival rate and large volume.

As the complexity of the infrastructure that generates and uses data in business organizations has increased drastically, it has become imperative to secure your data properly. This chapter further covered data security tools, such as Apache Ranger, and patterns to help us learn how to have control over the access patterns of data.

In the next chapter, we will take a look at Hadoop installation, its architecture and key components.

Left arrow icon Right arrow icon
Download code icon Download Code

Key benefits

  • -Get an in-depth view of the Apache Hadoop ecosystem and an overview of the architectural patterns pertaining to the popular Big Data platform
  • -Conquer different data processing and analytics challenges using a multitude of tools such as Apache Spark, Elasticsearch, Tableau and more
  • -A comprehensive, step-by-step guide that will teach you everything you need to know, to be an expert Hadoop Architect

Description

The complex structure of data these days requires sophisticated solutions for data transformation, to make the information more accessible to the users.This book empowers you to build such solutions with relative ease with the help of Apache Hadoop, along with a host of other Big Data tools. This book will give you a complete understanding of the data lifecycle management with Hadoop, followed by modeling of structured and unstructured data in Hadoop. It will also show you how to design real-time streaming pipelines by leveraging tools such as Apache Spark, and build efficient enterprise search solutions using Elasticsearch. You will learn to build enterprise-grade analytics solutions on Hadoop, and how to visualize your data using tools such as Apache Superset. This book also covers techniques for deploying your Big Data solutions on the cloud Apache Ambari, as well as expert techniques for managing and administering your Hadoop cluster. By the end of this book, you will have all the knowledge you need to build expert Big Data systems.

Who is this book for?

This book is for Big Data professionals who want to fast-track their career in the Hadoop industry and become an expert Big Data architect. Project managers and mainframe professionals looking forward to build a career in Big Data Hadoop will also find this book to be useful. Some understanding of Hadoop is required to get the best out of this book.

What you will learn

  • • Build an efficient enterprise Big Data strategy centered around Apache Hadoop
  • • Gain a thorough understanding of using Hadoop with various Big Data frameworks such as Apache Spark, Elasticsearch and more
  • • Set up and deploy your Big Data environment on premises or on the cloud with Apache Ambari
  • •Design effective streaming data pipelines and build your own enterprise search solutions
  • • Utilize the historical data to build your analytics solutions and visualize them using popular tools such as Apache Superset
  • • Plan, set up and administer your Hadoop cluster efficiently

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Mar 30, 2018
Length: 394 pages
Edition : 1st
Language : English
ISBN-13 : 9781787122765
Vendor :
Apache
Category :
Languages :
Concepts :

What do you get with a Packt Subscription?

Free for first 7 days. $19.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing

Product Details

Publication date : Mar 30, 2018
Length: 394 pages
Edition : 1st
Language : English
ISBN-13 : 9781787122765
Vendor :
Apache
Category :
Languages :
Concepts :

Packt Subscriptions

See our plans and pricing
Modal Close icon
€18.99 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
€189.99 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
€264.99 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 115.97
Big Data Architect???s Handbook
€45.99
Modern Big Data Processing with Hadoop
€32.99
Practical Big Data Analytics
€36.99
Total 115.97 Stars icon

Table of Contents

11 Chapters
Enterprise Data Architecture Principles Chevron down icon Chevron up icon
Hadoop Life Cycle Management Chevron down icon Chevron up icon
Hadoop Design Consideration Chevron down icon Chevron up icon
Data Movement Techniques Chevron down icon Chevron up icon
Data Modeling in Hadoop Chevron down icon Chevron up icon
Designing Real-Time Streaming Data Pipelines Chevron down icon Chevron up icon
Large-Scale Data Processing Frameworks Chevron down icon Chevron up icon
Building Enterprise Search Platform Chevron down icon Chevron up icon
Designing Data Visualization Solutions Chevron down icon Chevron up icon
Developing Applications Using the Cloud Chevron down icon Chevron up icon
Production Hadoop Cluster Deployment Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.4
(8 Ratings)
5 star 75%
4 star 12.5%
3 star 0%
2 star 0%
1 star 12.5%
Filter icon Filter
Top Reviews

Filter reviews by




Devendra Dharm May 28, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This is a highly practical, no-nonsense and to-the-point kind of a book which is the kind of books I like where the author gets to the meat of the content without wasting a lot of time in build up to the climax in every topic being discussed! It provides a broad coverage of Big Data Topics with just the right amount of detail to help one jumpstart on their big data journey without missing the big picture or the key pieces of the puzzle. The book systematically talks about Big Data all the way from the basic installation of Hadoop through data ingestion tools and techniques, commonly used big data stores and real-time data streams to building an enterprise search. The simplicity of the book makes it very easy to understand and the examples provided make it relatively easier to practically implement those concepts.
Amazon Verified review Amazon
Sagar Jadhav Jun 03, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
In a long time this is one of the most pragmatic and most well explained book written in tune with the current and future industry practices. Not only will this book help beginners but also give a clear insight for experienced professionals as well working in the data engineering field. I would highly recommend this book for in premise and cloud deployments as well. As an engineer myself it helped me adopt few best practices from this book. Happy leary folks.
Amazon Verified review Amazon
Girish Sherikar Apr 19, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I found this book to be a great resource due to it's simple to understand language, emphasis on hands on and practical information. Discussion of concepts is concise and clear, so none of the topics become a drag on staying focused. A must have reference for beginners and practitioners alike.
Amazon Verified review Amazon
Joe G Dec 15, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
It provides good content.
Amazon Verified review Amazon
Player#30 May 01, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Being new to the Big data topic I was looking for a book which not only covers basics but also provides examples and details in the implementation areas including data life cycle, data visualization and such. I found this book an easy to read with lot of practical examples. I must read for those new to this area and also for those who would like to expand their big data horizons.
Amazon Verified review Amazon
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

What is included in a Packt subscription? Chevron down icon Chevron up icon

A subscription provides you with full access to view all Packt and licnesed content online, this includes exclusive access to Early Access titles. Depending on the tier chosen you can also earn credits and discounts to use for owning content

How can I cancel my subscription? Chevron down icon Chevron up icon

To cancel your subscription with us simply go to the account page - found in the top right of the page or at https://subscription.packtpub.com/my-account/subscription - From here you will see the ‘cancel subscription’ button in the grey box with your subscription information in.

What are credits? Chevron down icon Chevron up icon

Credits can be earned from reading 40 section of any title within the payment cycle - a month starting from the day of subscription payment. You also earn a Credit every month if you subscribe to our annual or 18 month plans. Credits can be used to buy books DRM free, the same way that you would pay for a book. Your credits can be found in the subscription homepage - subscription.packtpub.com - clicking on ‘the my’ library dropdown and selecting ‘credits’.

What happens if an Early Access Course is cancelled? Chevron down icon Chevron up icon

Projects are rarely cancelled, but sometimes it's unavoidable. If an Early Access course is cancelled or excessively delayed, you can exchange your purchase for another course. For further details, please contact us here.

Where can I send feedback about an Early Access title? Chevron down icon Chevron up icon

If you have any feedback about the product you're reading, or Early Access in general, then please fill out a contact form here and we'll make sure the feedback gets to the right team. 

Can I download the code files for Early Access titles? Chevron down icon Chevron up icon

We try to ensure that all books in Early Access have code available to use, download, and fork on GitHub. This helps us be more agile in the development of the book, and helps keep the often changing code base of new versions and new technologies as up to date as possible. Unfortunately, however, there will be rare cases when it is not possible for us to have downloadable code samples available until publication.

When we publish the book, the code files will also be available to download from the Packt website.

How accurate is the publication date? Chevron down icon Chevron up icon

The publication date is as accurate as we can be at any point in the project. Unfortunately, delays can happen. Often those delays are out of our control, such as changes to the technology code base or delays in the tech release. We do our best to give you an accurate estimate of the publication date at any given time, and as more chapters are delivered, the more accurate the delivery date will become.

How will I know when new chapters are ready? Chevron down icon Chevron up icon

We'll let you know every time there has been an update to a course that you've bought in Early Access. You'll get an email to let you know there has been a new chapter, or a change to a previous chapter. The new chapters are automatically added to your account, so you can also check back there any time you're ready and download or read them online.

I am a Packt subscriber, do I get Early Access? Chevron down icon Chevron up icon

Yes, all Early Access content is fully available through your subscription. You will need to have a paid for or active trial subscription in order to access all titles.

How is Early Access delivered? Chevron down icon Chevron up icon

Early Access is currently only available as a PDF or through our online reader. As we make changes or add new chapters, the files in your Packt account will be updated so you can download them again or view them online immediately.

How do I buy Early Access content? Chevron down icon Chevron up icon

Early Access is a way of us getting our content to you quicker, but the method of buying the Early Access course is still the same. Just find the course you want to buy, go through the check-out steps, and you’ll get a confirmation email from us with information and a link to the relevant Early Access courses.

What is Early Access? Chevron down icon Chevron up icon

Keeping up to date with the latest technology is difficult; new versions, new frameworks, new techniques. This feature gives you a head-start to our content, as it's being created. With Early Access you'll receive each chapter as it's written, and get regular updates throughout the product's development, as well as the final course as soon as it's ready.We created Early Access as a means of giving you the information you need, as soon as it's available. As we go through the process of developing a course, 99% of it can be ready but we can't publish until that last 1% falls in to place. Early Access helps to unlock the potential of our content early, to help you start your learning when you need it most. You not only get access to every chapter as it's delivered, edited, and updated, but you'll also get the finalized, DRM-free product to download in any format you want when it's published. As a member of Packt, you'll also be eligible for our exclusive offers, including a free course every day, and discounts on new and popular titles.