Big data is the current requirement. Most organizations produce huge amount of data every day. With the arrival of Hadoop-like tools, it has become easier for everyone to solve big data problems with great efficiency and at minimal cost. Grasping Machine Learning techniques will help you greatly in building predictive models and using this data to make the right decisions for your organization.
Hadoop Real World Solutions Cookbook gives readers insights into learning and mastering big data via recipes. The book not only clarifies most big data tools in the market but also provides best practices for using them. The book provides recipes that are based on the latest versions of Apache Hadoop 2.X, YARN, Hive, Pig, Sqoop, Flume, Apache Spark, Mahout and many more such ecosystem tools. This real-world-solution cookbook is packed with handy recipes you can apply to your own everyday issues. Each chapter provides in-depth recipes that can be referenced easily. This book provides detailed practices on the latest technologies such as YARN and Apache Spark. Readers will be able to consider themselves as big data experts on completion of this book.
This guide is an invaluable tutorial if you are planning to implement a big data warehouse for your business.

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Spis treści

Hadoop Real-World Solutions Cookbook. Over 90 hands-on recipes to help you learn and master the intricacies of Apache Hadoop 2.X, YARN, Hive, Pig, Oozie, Flume, Sqoop, Apache Spark, and Mahout - Second Edition eBook -- spis treści

• 1. Getting Started with Hadoop
• 2. Exploring HDFS
• 3. Mastering Map Reduce Programs
• 4. Performing Common tasks using Hive, Pig and Hbase
• 5. Big Data Analysis using Hive, Impala
• 6. Data import/Export using Sqoop and Flume
• 7. Automation Hadoop tasks using Oozie
• 8. Machine Learning and Predictive Analytics using Mahout and R
• 9. Integration with Apache Spark
• 10. Hadoop Use Cases