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ROXIE ECL (Part 1) - Indexes and Queries - Boca Raton, FL

HPCC Systems

Monday, June 24, 2019 at 8:00 AM - Tuesday, June 25, 2019 at 4:00 PM (EDT)

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Ticket Type Sales End Price Fee Quantity
Attendee Jun 21, 2019 $1,995.00 $0.00

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NOTE: RELX and LexisNexis employees should register using the approved promo code provided by their manager or contact training@hpccsystems.com.

 

ROXIE ECL (Part 1) - Indexes and Queries

 

Note: This course is the first in a two-part ROXIE series. People who attend the Roxie ECL (Part 1) – Indexes and Queries class, should also attend the Roxie ECL (Part 2) – Complex Query Development. Both classes are presented in the same week.

This class is for developers who want to extend their knowledge of ECL to developing Roxie queries for end-user use. In this course you will learn the benefits of payload indexes as well as use of the indexed joins that make query results fast. Anyone planning to write ECL code to provide final product data to end-users should attend this course.

Course Length: 2 days

Class Prerequisites: Students must have attended the Introduction to ECL (Part 1) - Concepts and Queries, the Introduction to ECL (Part 2) - the Extract, Transform, and Load (ETL) Process, and the Advanced ECL (Part 2) –  Super files, Working with XML, and Free-form Text Parsing training classes. Students are welcome to bring their own laptops to take away the code and examples from the class.

Topics include:

  • Defining and Creating INDEXes
  • Using FETCH
  • Creating Roxie Queries (STORED)
  • Testing queries in hThor
  • Deploying to Roxie
  • Payload Indexes
  • Full and Half-Keyed JOINs
  • Optimizing Queries (LIMIT, ATMOST, KEEP)

Class begins Monday and Tuesday at 8am and concludes at 4pm.

Have questions about ROXIE ECL (Part 1) - Indexes and Queries - Boca Raton, FL? Contact HPCC Systems

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When & Where


777 Yamato Road
Colonnade Sales Education Classroom
Boca Raton, FL 33431

Monday, June 24, 2019 at 8:00 AM - Tuesday, June 25, 2019 at 4:00 PM (EDT)


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HPCC Systems

HPCC Systems is an open source, massive parallel-processing computing platform for big data processing and analytics.

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