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Instant Apache Sqoop, by Ankit Jain
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Transfer data efficiently between RDBMS and the Hadoop ecosystem using the robust Apache Sqoop
Overview
- Learn something new in an Instant! A short, fast, focused guide delivering immediate results
- Learn how to transfer data between RDBMS and Hadoop using Sqoop
- Add a third-party connector into Sqoop
- Export data from Hadoop and Hive to RDBMS
- Describe third-party Sqoop connectors
In Detail
In today’s world, data size is growing at a very fast rate, and people want to perform analytics by combining different sources of data (RDBMS, Text, and so on). Using Hadoop for analytics requires you to load data from RDBMS to Hadoop and perform analytics on that data, before then loading that process data back to RDBMS to generate business reports.
Instant Apache Sqoop is a practical, hands-on guide that provides you with a number of clear, step-by-step exercises that will help you to take advantage of the real power of Apache Sqoop and give you a good grounding in the knowledge required to transfer data between RDBMS and the Hadoop ecosystem.
Instant Apache Sqoop looks at the import/export process required in data transfer and discusses examples of each process. It will also give you an overview of HBase and Hive table structures and how you can populate HBase and Hive tables. The book will finish by taking you through a number of third-party Sqoop connectors.
You will also learn about various import and export arguments and how you can use these arguments to move data between RDBMS and the Hadoop ecosystem. This book also explains the architecture of import and export processes. The book will also take a look at some Sqoop connectors and will discuss examples of each connector. If you want to move data between RDBMS and the Hadoop ecosystem, then this is the book for you.
You will learn everything that you need to know to transfer data between RDBMS and the Hadoop ecosystem as well as how you can add new connectors into Sqoop.
What you will learn from this book
- Understand the Sqoop import arguments and the provided examples to master moving data from RDBMS to Hadoop
- Get to know the Sqoop incremental import feature
- Understand the HBase table structure, HBase basic commands, and learn how to move data from RDBMS to HBase
- Learn about the Hive table structure, Hive basic commands, and understand the provided examples to discover how to move data from RDBMS to Hive
- Explore the Sqoop export arguments and learn how to move process data from Hadoop to RDBMS
- Learn how to move data from Hive to RDBMS
- Discover Sqoop third-party connectors
Approach
Filled with practical, step-by-step instructions and clear explanations for the most important and useful tasks. Instant Apache Sqoop is full of step-by-step instructions and practical examples along with challenges to test and improve your knowledge.
Who this book is written for
This book is great for developers who are looking to get a good grounding in how to effectively and efficiently move data between RDBMS and the Hadoop ecosystem. It’s assumed that you will have some experience in Hadoop already as well as some familiarity with HBase and Hive.
- Sales Rank: #3763235 in Books
- Published on: 2013-08-26
- Released on: 2013-08-26
- Original language: English
- Dimensions: 9.25" h x .14" w x 7.50" l, .0 pounds
- Binding: Paperback
- 58 pages
About the Author
Ankit Jain
Ankit Jain is a software professional with over two years of experience in implementing, designing, and managing big data solutions for industry leaders. His core skills include expertise in Hadoop, HBase, Hive, Sqoop, Flume Elasticsearch, Machine Learning, Kafka, Storm, Java, and J2EE. He is currently employed with Impetus Infotech Pvt. Ltd.
He is an active blogger and can be followed at http://ankitasblogger.blogspot.in/.
Most helpful customer reviews
0 of 0 people found the following review helpful.
A small cookbook for Sqoop
By Doug Duncan
Instant Apache Sqoop by Ankit Jain is another good book in the PacktPub Instant series. This one though diverges from the normal quick overview for someone new to the technology. In this book Ankit has written things in a cookbook format. Overall this works, but wasn't what I was expecting from a book in this series.
This book shows you how to use Sqoop to move data between Hadoop and a RDBMS in multiple ways using 9 different recipes. This covers Hadoop data being stored in HDFS, Hive and HBase.
Overall the book is good, but the author chose to use screen shots of the terminal which unreadable in the copy I read and pretty much just made the image worthless. If you've heard of Sqoop and have a basic understanding of how to use it, the recipes will help you out. If you're just looking for a quick basic overview, the book might be more than you need.
0 of 0 people found the following review helpful.
Useful Sqoop techniques
By Nicole
I went through this book. It is quiet explanatory and very well descriptive.
It provides a lot of the sample examples that I have not been able to find anywhere else. The book has good technical content and is very helpful when you are using Sqoop for the first time.All examples are quiet explanatory and give some idea of how to move data between RDBMS and Hadoop Ecosystem. This book contains more than 20 sample examples.
I would recommend this for all beginners.
0 of 1 people found the following review helpful.
Horrible book
By Cem Demircioglu
First, the book does not have a database associated with it. Which means in order to follow the examples, one has to reverse engineer a MySQL database that the book is based on. Second, the examples given in the book has syntax errors. From missing dashes to wrong quotes. Last but not least, the examples given are not coherent. There is no business case, associated with the code. For instance, you need a database called db1, a table named student, which has columns student_id, name, address, and col4 which is a date time field. I know it is cheap book, but I expect more than a white board example.
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