ELC Catalog.pdf - 1 www.elearningcurve.com ▪ support...

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▪ [email protected] ▪ 1.630.242.1659
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Nov 2020

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▪ [email protected] ▪ 1.630.242.1659
-- Purvi Ramchandani, CIMP Ex – Data Quality, CIMP Ex – MDM, USA
I found the courses to be very well organized in
terms of content and delivery; the exams were
challenging and the best thing about this online
learning is that you can listen to the content at your
own convenient time.
TABLE OF CONTENTS
 OVERVIEW 2
 CURRICULA AT-A-GLANCE 3
 CERTIFICATION PROGRAMS 4
 ENTERPRISE SOLUTIONS 5-6
 COURSE DESCRIPTIONS 7-16
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OUR INSTRUCTORS 17-18
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OUR CUSTOMERS 19
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CONTACT US 20
 PRICE LIST 21
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ABOUT ELEARNINGCURVE 21

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▪ [email protected] ▪ 1.630.242.1659
MDM Fundamentals: Architecture and
Implementation
This 4.5 hour course provides a comprehensive look at
the elements of an MDM program and the key success
factors for MDM.
Data Parsing, Matching, and De-duplication
To take advantage of the worldwide marketplace,
businesses need to manage data globally. This reality
poses very specialized and unique kinds of problems in
data management. In this 4.5-hour course you will learn
to identify and avoid the pitfalls of global information.
Data Governance Fundamentals
This 5-hour course provides an overview of the
disciplines of governing data, covers the essential
components of an enterprise-wide program, and
outlines a roadmap to execute a successful data
governance program.
Metadata Management Fundamentals
This 4-hour course is designed to provide the
foundational metadata knowledge needed by
anyone who has data management roles and
responsibilities. It covers metadata basics such as
the types and purposes of metadata, and explores
core metadata disciplines of modeling, profiling,
and cataloging data.
Data Integration Fundamentals and Best
Practice
This online training course discusses architectures,
requirements, methods, roles and activities of data
integration that can be applied to achieve successful
data integration projects for a variety of applications and
circumstances.
Data Quality Assessment
This 6-hour course gives comprehensive treatment to
the process and practical challenges of data quality
assessment. It starts with systematic treatment of
various data quality rules and proceeds to the results
analysis and building aggregated data quality
scorecard.
Ensuring Data Quality in Data Integration
Without a comprehensive data quality monitoring
program bad data spread like viruses through countless
real-time and batch interfaces. This 5-hour course
discusses various practices that can be put in place to
maintain high data quality through data integration.
Data Quality Scorecard
Data quality scorecards have become very popular and
many organizations are starting to build them. This
online training course gives comprehensive treatment to
the processes and practical challenges of data quality
scorecarding.