3 Welcome to Big Data Discovery

This section introduces Big Data Discovery (BDD), and includes overviews of its components.

• Ways of using Big Data Discovery
  In your organization, use BDD as the center of your data lab, as a unified environment for navigating and exploring all of your data sources in Hadoop, and to create projects and BDD applications.
• Value of using Big Data Discovery
  In BDD, a wider number of people can work with big data, compared with traditional analytics tools. You spend less time on data loading and updates, and can focus on actual data analysis of big data.
• Addressing your goals and needs
  Big Data Discovery makes your job faster and easier than traditional analytics tools. This topic discusses your goals and needs in data analysis and shows how Big Data Discovery can address them.
• Results of working with Big Data Discovery
  In BDD you can create an insight, an exploratory project, or a tool for long-term analysis of your data.
• About Studio
  Studio is a component in Big Data Discovery. Studio provides a business-user friendly user interface for a range of operations on data.
• About Data Processing
  The Data Processing component of BDD runs a set of processes and jobs. This set is called data processing workflows. Many of these processes run natively in Hadoop.
• About the Dgraph
  The Dgraph uses data structures and algorithms to issue real-time responses to queries.