• Learn the fundamentals of Hadoop's backup needs, recovery strategy, and troubleshooting
• Determine common failure points, intimate HBase, and explore different backup...

• Use Python and scikit-learn to create intelligent applications
• Apply...

• Explore the use of command line interface (CLI) to consistently configure the environment and automate it reasonably
• Discover the best practices to deploy...

• Understand the essentials and components of Oracle Data...

• Understand Apache Lucene and Elasticsearch's design and architecture
• Design your index, configure it, and distribute it, not only with assumptions, but...

The importance of logistics in all its variations is still increasing. New technologies emerge, new planning methods and algorithms are developed, only to face a market with a growing complexity and the need of weighting monetary costs against ecological impact. Mastering these challenges requires a scientific viewpoint on logistics, but...

• Detailed coverage of the various BPM notations used for business process development.
• Learn how to implement business processes based on real world examples.
• Understand how to deploy...

• Learn cluster management and techniques to improve performance in Vertica
• Deploy local segmentation and get to grips with the concept of projections
• A simple,...

• Efficiently replicate PostgreSQL using high-end techniques to protect your data and run your server without interruptions
• Improve reliability, fault-tolerance, and...

Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis. You will learn how to use Spark for different types of big data analytics projects, including batch, interactive, graph, and stream data analysis as well...