Hadoop: Data Processing and Modelling
Language: English
Published by Packt Publishing Limited, GB, 2016
- Softcover
- New
Seller: Rarewaves USA, HEBRON, KY, U.S.A.Rarewaves USA
AbeBooks seller since June 10, 2025
Condition: New
£ 100.41
Quantity: Over 20 available
Add to basketItem description from seller
Unlock the power of your data with Hadoop 2.X ecosystem and its data warehousing techniques across large data setsAbout This Book* Conquer the mountain of data using Hadoop 2.X tools* The authors succeed in creating a context for Hadoop and its ecosystem* Hands-on examples and recipes giving the bigger picture and helping you to master Hadoop 2.X data processing platforms* Overcome the challenging data processing problems using this exhaustive course with Hadoop 2.XWho This Book Is ForThis course is for Java developers, who know scripting, wanting a career shift to Hadoop - Big Data segment of the IT industry. So if you are a novice in Hadoop or an expert, this book will make you reach the most advanced level in Hadoop 2.X.What You Will Learn* Best practices for setup and configuration of Hadoop clusters, tailoring the system to the problem at hand* Integration with relational databases, using Hive for SQL queries and Sqoop for data transfer* Installing and maintaining Hadoop 2.X cluster and its ecosystem* Advanced Data Analysis using the Hive, Pig, and Map Reduce programs* Machine learning principles with libraries such as Mahout and Batch and Stream data processing using Apache Spark* Understand the changes involved in the process in the move from Hadoop 1.0 to Hadoop 2.0* Dive into YARN and Storm and use YARN to integrate Storm with Hadoop* Deploy Hadoop on Amazon Elastic MapReduce and Discover HDFS replacements and learn about HDFS FederationIn DetailAs Marc Andreessen has said "Data is eating the world," which can be witnessed today being the age of Big Data, businesses are producing data in huge volumes every day and this rise in tide of data need to be organized and analyzed in a more secured way. With proper and effective use of Hadoop, you can build new-improved models, and based on that you will be able to make the right decisions.The first module, Hadoop beginners Guide will walk you through on understanding Hadoop with very detailed instructions and how to go about using it. Commands are explained using sections called "What just happened" for more clarity and understanding.The second module, Hadoop Real World Solutions Cookbook, 2nd edition, is an essential tutorial to effectively implement a big data warehouse in your business, where you get detailed practices on the latest technologies such as YARN and Spark.Big data has become a key basis of competition and the new waves of productivity growth. Hence, once you get familiar with the basics and implement the end-to-end big data use cases, you will start exploring the third module, Mastering Hadoop.So, now the question is if you need to broaden your Hadoop skill set to the next level after you nail the basics and the advance concepts, then this course is indispensable.When you finish this course, you will be able to tackle the real-world scenarios and become a big data expert using the tools and the knowledge based on the various step-by-step tutorials and recipes.Style a.…
Seller Inventory # LU-9781787125162
- Title
- Hadoop: Data Processing and Modelling
- Author
- Tanmay Deshpande, Garry Turkington, Sandeep Karanth
- Publisher
- Packt Publishing Limited, GB
- Publication year
- 2016
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1787125165
- ISBN 13
- 9781787125162
Unlock the power of your data with Hadoop 2.X ecosystem and its data warehousing techniques across large data sets
Key Features:
- Conquer the mountain of data using Hadoop 2.X tools
- The authors succeed in creating a context for Hadoop and its ecosystem
- Hands-on examples and recipes giving the bigger picture and helping you to master Hadoop 2.X data processing platforms
- Overcome the challenging data processing problems using this exhaustive course with Hadoop 2.X
Book Description:
As Marc Andreessen has said "Data is eating the world," which can be witnessed today being the age of Big Data, businesses are producing data in huge volumes every day and this rise in tide of data need to be organized and analyzed in a more secured way. With proper and effective use of Hadoop, you can build new-improved models, and based on that you will be able to make the right decisions.
The first module, Hadoop beginners Guide will walk you through on understanding Hadoop with very detailed instructions and how to go about using it. Commands are explained using sections called "What just happened" for more clarity and understanding.
The second module, Hadoop Real World Solutions Cookbook, 2nd edition, is an essential tutorial to effectively implement a big data warehouse in your business, where you get detailed practices on the latest technologies such as YARN and Spark.
Big data has become a key basis of competition and the new waves of productivity growth. Hence, once you get familiar with the basics and implement the end-to-end big data use cases, you will start exploring the third module, Mastering Hadoop.
So, now the question is if you need to broaden your Hadoop skill set to the next level after you nail the basics and the advance concepts, then this course is indispensable.
When you finish this course, you will be able to tackle the real-world scenarios and become a big data expert using the tools and the knowledge based on the various step-by-step tutorials and recipes.
What You Will Learn:
- Best practices for setup and configuration of Hadoop clusters, tailoring the system to the problem at hand
- Integration with relational databases, using Hive for SQL queries and Sqoop for data transfer
- Installing and maintaining Hadoop 2.X cluster and its ecosystem
- Advanced Data Analysis using the Hive, Pig, and Map Reduce programs
- Machine learning principles with libraries such as Mahout and Batch and Stream data processing using Apache Spark
- Understand the changes involved in the process in the move from Hadoop 1.0 to Hadoop 2.0
- Dive into YARN and Storm and use YARN to integrate Storm with Hadoop
- Deploy Hadoop on Amazon Elastic MapReduce and Discover HDFS replacements and learn about HDFS Federation
Who this book is for:
This course is for Java developers, who know scripting, wanting a career shift to Hadoop - Big Data segment of the IT industry. So if you are a novice in Hadoop or an expert, this book will make you reach the most advanced level in Hadoop 2.X.
"Synopsis" may belong to another edition of this title.
About the Author
Garry Turkington has over 15 years of industry experience, most of which has been focused on the design and implementation of large-scale distributed systems. In his current role as the CTO at Improve Digital, he is primarily responsible for the realization of systems that store, process, and extract value from the company's large data volumes. Before joining Improve Digital, he spent time at Amazon.co.uk, where he led several software development teams, building systems that process the Amazon catalog data for every item worldwide. Prior to this, he spent a decade in various government positions in both the UK and the USA. He has BSc and PhD degrees in Computer Science from Queens University Belfast in Northern Ireland, and a Master's degree in Engineering in Systems Engineering from Stevens Institute of Technology in the USA. He is the author of Hadoop Beginners Guide, published by Packt Publishing in 2013, and is a committer on the Apache Samza project. Tanmay Deshpande
Tanmay Deshpande is a Hadoop and big data evangelist. He's interested in a wide range of technologies, such as Apache Spark, Hadoop, Hive, Pig, NoSQL databases, Mahout, Sqoop, Java, cloud computing, and so on. He has vast experience in application development in various domains, such as finance, telecoms, manufacturing, security, and retail. He enjoys solving machine-learning problems and spends his time reading anything that he can get his hands on. He has a great interest in open source technologies and promotes them through his lectures. He has been invited to various computer science colleges to conduct brainstorming sessions with students on the latest technologies. Through his innovative thinking and dynamic leadership, he has successfully completed various projects. Tanmay is currently working with Schlumberger as the lead developer of big data. Before Schlumberger, Tanmay worked with Lumiata, Symantec, and Infosys. Sandeep Karanth
"About the title" may belong to another edition of this title.
Shipping rates within U.S.A.
| Item | 13 to 14 business days | 13 to 16 business days |
|---|---|---|
| First item | £ 0.00 | £ 0.00 |
Payment methods
Seller's business information
Rarewaves USA
10100 West Sample Road, Ste 101
Coral Springs, FL U.S.A. 33065
Right of withdrawal
If you are a consumer you can withdraw from the contract in accordance with the following. Consumer means any natural person who is acting for purposes which are outside his trade, business, craft or profession.
Information regarding the right of withdrawal
Statutory right to withdraw
You have the right to withdraw from this contract within 14 days without giving any reason.
The withdrawal period will expire after 14 days from the day on which you acquire, or a third party other than the carrier and indicated by you acquires, physical possession of the last good or the last lot or piece.
To exercise the right of withdrawal, electronically fill in and submit a clear statement on our website, under "My Purchases" in "My Account". We will communicate to you an acknowledgement of receipt of such a withdrawal on a durable medium (e.g. by e-mail) without delay.
To meet the withdrawal deadline, it is sufficient for you to send your communication concerning your exercise of the right of withdrawal before the withdrawal period has expired.
Effects of withdrawal
If you withdraw from this contract, we will reimburse to you all payments received from you, including the costs of delivery (except for the supplementary costs arising if you chose a type of delivery other than the least expensive type of standard delivery offered by us).
We may make a deduction from the reimbursement for loss in value of any goods supplied, if the loss is the result of unnecessary handling by you.
We will make the reimbursement without undue delay, and not later than 14 days after the day on which we are informed about your decision to withdraw from this contract.
We will make the reimbursement using the same means of payment as you used for the initial transaction, unless you have expressly agreed otherwise; in any event, you will not incur any fees as a result of such reimbursement.
We may withhold reimbursement until we have received the goods back, or you have supplied evidence of having sent back the goods, whichever is the earliest.
You shall send back the goods or hand them over to Rarewaves USA, Coral Springs, Florida, U.S.A., without undue delay and in any event not later than 14 days from the day on which you communicate your withdrawal from this contract to us. The deadline is met if you send back the goods before the period of 14 days has expired. You will have to bear the direct cost of returning the goods. You are only liable for any diminished value of the goods resulting from the handling other than what is necessary to establish the nature, characteristics and functioning of the goods.
Exceptions to the right of withdrawal
The right of withdrawal does not apply to:
- The delivery of newspapers, journals or magazines with the exception of subscription contracts; and
- The supply of digital content which is not supplied on a tangible medium (e.g. on a CD or DVD) if you accepted when you placed your order that we could start to deliver it, and that you could not withdraw once delivery had started.
Shipping terms
Please note that we do not offer Priority shipping to any country.
We currently do not ship to the below countries:
Afghanistan
Bhutan
Brazil
Brunei Darussalam
Channel Islands
Chile
Israel
Lao
Mexico
Russian Federation
Saudi Arabia
South Africa
Yemen
Please do not attempt to place orders with any of these countries as a ship to address - they will be cancelled.