Book Image

Big Data Analytics with R and Hadoop

By : Vignesh Prajapati
Book Image

Big Data Analytics with R and Hadoop

By: Vignesh Prajapati

Overview of this book

<p>Big data analytics is the process of examining large amounts of data of a variety of types to uncover hidden patterns, unknown correlations, and other useful information. Such information can provide competitive advantages over rival organizations and result in business benefits, such as more effective marketing and increased revenue. New methods of working with big data, such as Hadoop and MapReduce, offer alternatives to traditional data warehousing. <br /><br />Big Data Analytics with R and Hadoop is focused on the techniques of integrating R and Hadoop by various tools such as RHIPE and RHadoop. A powerful data analytics engine can be built, which can process analytics algorithms over a large scale dataset in a scalable manner. This can be implemented through data analytics operations of R, MapReduce, and HDFS of Hadoop.<br /><br />You will start with the installation and configuration of R and Hadoop. Next, you will discover information on various practical data analytics examples with R and Hadoop. Finally, you will learn how to import/export from various data sources to R. Big Data Analytics with R and Hadoop will also give you an easy understanding of the R and Hadoop connectors RHIPE, RHadoop, and Hadoop streaming.</p>
Table of Contents (16 chapters)
Big Data Analytics with R and Hadoop
Credits
About the Author
Acknowledgment
About the Reviewers
www.PacktPub.com
Preface
Index

Understanding SQLite


SQLite is a relational database management system developed with C programming language. SQLite is ACID compliant and implements most of the SQL standard. Unlike other database systems, SQLite doesn't have a standalone process to serve data to client applications. It's an embedded SQL database engine. SQLite system reads and writes directly to the system disk files because it's a file-based database. Related SQL database with multiple tables, indices, and views are contained there and this database file format is supported as cross-platform.

Quick understanding of ACID properties of transactions:

There are a set of properties that needs to be fulfilled to perform the transactions. They are Atomicity, Consistency, Isolation, and Durability. which are explained as follows:

  • Atomicity refers to the guarantee that all the tasks of the database are performed.

  • Consistency ensures that the database remains in a consistent manner throughout, similar to how it was before we started...