Apache Drill Training Courses

Apache Drill Training

Apache Drill is a schema-free, distributed, in-memory columnar SQL query engine for Hadoop, NoSQL and and other Cloud and file storage systems. Apache Drill's power 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. NobleProg instructor-led live Apache Drill training courses demonstrate through interactive discussion and hands-on practice the fundamentals of Apache Drill, then how to leverage the power and convenience of SQL to interactively query big data without writing code, and how to optimize Drill queries for distributed SQL execution. Apache Drill training is available in various formats, including onsite live training and remote live training. Onsite live training can be carried out locally on customer premises or in NobleProg corporate training centers. Remote live training is available by way of an interactive, remote desktop. NobleProg -- Your Local Training Provider

Course Outlines

Code Name Duration Overview
apachedrill Apache Drill for On-the-Fly Analysis of Multiple Big Data Formats 21 hours 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
apachedrillqueryoptim Apache Drill Query Optimization 7 hours 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 how to optimize and debug Apache Drill to improve the performance of queries on very large data sets. The course begins with an architectural overview and feature comparison between Apache Drill and other interactive data analysis tools. Participants then step through a series of interactive, hands-on practice sessions that include installation, configuration, performance evaluation, query optimization, data partitioning, and debugging of an Apache Drill instance in a live lab environment. By the end of this training, participants will be able to: Install and configure Apache Drill Understand Apache Drill's architecture and features Understand how Apache Drills receives and executes queries Optimize Drill queries for distributed SQL execution Debug Apache Drill Audience Developers Systems administrators Data analysts Format of the course Part lecture, part discussion, exercises and heavy hands-on practice Notes To request a customized training for this course, please contact us to arrange.

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