Apache Drill for On-the-Fly Analysis of Multiple Big Data Formats Training Course

Apache Drill is a schema-free, distributed, in-memory columnar SQL query engine for Hadoop, NoSQL and other Cloud and file storage systems. The power of Apache Drill lies in its ability to join data from multiple data stores using a single query. Apache Drill supports numerous NoSQL databases and file systems, including HBase, MongoDB, MapR-DB, HDFS, MapR-FS, Amazon S3, Azure Blob Storage, Google Cloud Storage, Swift, NAS and local files. Apache Drill is the open source version of Google's Dremel system which is available as an infrastructure service called Google BigQuery.
In this instructor-led, live training, participants will learn the fundamentals of Apache Drill, then leverage the power and convenience of SQL to interactively query big data across multiple data sources, without writing code. Participants will also learn how to optimize their Drill queries for distributed SQL execution.
By the end of this training, participants will be able to:
Perform "self-service" exploration on structured and semi-structured data on Hadoop
Query known as well as unknown data using SQL queries
Understand how Apache Drills receives and executes queries
Write SQL queries to analyze different types of data, including structured data in Hive, semi-structured data in HBase or MapR-DB tables, and data saved in files such as Parquet and JSON.
Use Apache Drill to perform on-the-fly schema discovery, bypassing the need for complex ETL and schema operations
Integrate Apache Drill with BI (Business Intelligence) tools such as Tableau, Qlikview, MicroStrategy and Excel
Audience
Data analysts
Data scientists
SQL programmers
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice