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Introduction to ECL (Part 1) - Concepts and Queries - Atlanta

HPCC Systems

Monday, February 4, 2019 at 1:00 PM - Wednesday, February 6, 2019 at 12:00 PM (EST)

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Ticket Type Sales End Price Fee Quantity
Attendee Jan 31, 2019 $1,995.00 $0.00

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Event Details

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

 

Introduction to ECL (Part 1) - Concepts and Queries

This class is for developers who want to understand the HPCC (High Performance Computing Cluster) Systems platform and learn ECL to build powerful data queries. Anyone who needs a basic familiarity with ECL should take this course.

Note: This course is the first in a two-part introductory series. People who attend the Introduction to ECL (Part 1) - Concepts and Queries class, should also attend the Introduction to ECL (Part 2) - the Extract, Transform, and Load (ETL) Process. Both classes are presented in the same week.

Course Length: 2 days

Class Prerequisites: None. Students are welcome to bring their own laptops to take away the code and examples from the class.

Topics include:

  • HPCC Systems Overview (THOR and ROXIE)
  • Introduction to ECL Concepts and Syntax
  • Using the ECL IDE and ECL Watch programming tools
  • Flat and CSV File Sprays
  • Defining Files (RECORD/DATASET)
  • Record Filtering
  • Basic definition types – Boolean, Value, Set, Recordset
  • Creating Simple ECL Queries
  • Managing your ECL code
  • Despraying Files

Class begins Monday at 1pm and concludes at 5pm.
Class begins Tuesday at 9am and concludes at 5pm.
Class begins Wednesday at 9am and concludes at 12pm.

Have questions about Introduction to ECL (Part 1) - Concepts and Queries - Atlanta? Contact HPCC Systems

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When & Where


LexisNexis
1000 Alderman Drive
Training Center
Alpharetta, GA 30005

Monday, February 4, 2019 at 1:00 PM - Wednesday, February 6, 2019 at 12:00 PM (EST)


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Organizer

HPCC Systems

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

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