Preface

Big Data is the need the day. Many organizations are producing huge amounts of data every day. With the advancement of Hadoop-like tools, it has become easier for everyone to solve Big Data problems with great efficiency and at a very low cost. When you are handling such a massive amount of data, even a small mistake can cost you dearly in terms of performance and storage. It's very important to learn the best practices of handling such tools before you start building an enterprise Big Data Warehouse, which will be greatly advantageous in making your project successful.

This book gives you insights into learning and mastering Big Data recipes. This book not only explores a majority of Big Data tools that are currently being used in the market, but also provides the best practices in order to implement them. This book will also provide you with recipes that are based on the latest version of Apache Hadoop 2.X, YARN, Hive, Pig, Sqoop, Flume, Apache Spark, Mahout, and many more ecosystem tools. This real-world solutions cookbook is packed with handy recipes that you can apply to your own everyday issues. Each chapter talks about recipes in great detail, and these can be referred to easily. This book provides detailed practice on the latest technologies, such as YARN and Apache Spark. This guide is an invaluable tutorial if you are planning to implement Big Data Warehouse for your business.