Beginning Apache Cassandra Development

Beginning Apache Cassandra Development by Vivek Mishra

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Big or large data has been the talk of the town in recent years. With possibilities for solving unstructured and semi-structured data issues, more and more organizations are gradually moving toward big data powered solutions. This essentially gives organization a way to think “beyond RDBMS.” This book will walk you through many such use cases during the journey.

Many NoSQL databases have been developed over the last 4-5 years. Recent research shows there are now more than 150 different NoSQL databases. This raises questions about why to adopt a specific database. For example, is it scalable, under active development, and most importantly accepted by the community and organizations? It is in light of these questions that Apache Cassandra comes out as a winner and indicates why it is one of the most popular NoSQL databases currently in use.

Apache Cassandra is a columnar distributed database that takes database application development forward from the point at which we encounter the limitations of traditional RDBMSs in terms of performance and scalability. A few things that restrict traditional RDBMSs are that they require predefined schemas, the ability to scale up to hundreds of data nodes, and the amount of work involved with data administration and monitoring. We will discuss these restrictions and how to address these with Apache Cassandra.

Beginning Apache Cassandra Development introduces you to Apache Cassandra, including the answers to the questions mentioned above, and provides a detailed overview and explanation of its feature set. Beginning with Cassandra basics, this book will walk you through the following topics and more:

- Data modeling

- Cluster deployment, logging, and monitoring

- Performance tuning

- Batch processing via MapReduce

- Hive and Pig integration

- Working on graph-based solutions

- Open source tools for Cassandra and related utilities

The book is intended for database administrators, big data developers, students, big data solution architects, and technology decision makers who are planning to use or are already using Apache Cassandra.

Many of the features and concepts covered in this book are approached through hands on recipes that show how things are done. In addition to those step-by-step guides, the source code for the examples is available as a download from the book’s Apress product page (www.apress (dot) com/9781484201435).



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