To complete the tutorial on the MapR Sandbox with Apache Drill, work through the following pages in order:
About Apache Drill
Drill is an Apache open-source SQL query engine for Big Data exploration. Drill is designed from the ground up to support high-performance analysis on the semi-structured and rapidly evolving data coming from modern Big Data applications, while still providing the familiarity and ecosystem of ANSI SQL, the industry-standard query language. Drill provides plug-and-play integration with existing Apache Hive and Apache HBase deployments.Apache Drill 0.5 offers the following key features:
Low-latency SQL queries
Dynamic queries on self-describing data in files (such as JSON, Parquet, text) and MapR-DB/HBase tables, without requiring metadata definitions in the Hive metastore.
Nested data support
Integration with Apache Hive (queries on Hive tables and views, support for all Hive file formats and Hive UDFs)
BI/SQL tool integration using standard JDBC/ODBC drivers
MapR Sandbox with Apache Drill
MapR includes Apache Drill as part of the Hadoop distribution. The MapR Sandbox with Apache Drill is a fully functional single-node cluster that can be used to get an overview on Apache Drill in a Hadoop environment. Business and technical analysts, product managers, and developers can use the sandbox environment to get a feel for the power and capabilities of Apache Drill by performing various types of queries. Once you get a flavor for the technology, refer to the Apache Drill web site and Apache Drill documentation for more details.
Note that Hadoop is not a prerequisite for Drill and users can start ramping up with Drill by running SQL queries directly on the local file system. Refer to Apache Drill in 10 minutes for an introduction to using Drill in local (embedded) mode.