New Course: Data Architecture Fundamentals
Data architecture frames how data is managed from the point of creation
or collection, through processing of many kinds, to distribution, usage,
and business impact. It provides concepts, structures, guidelines, and
standards needed for consistency, reliability, resilience, adaptability,
and sustainability of data management processes and practices.
Data architecture is a complex undertaking that describes how the many
parts of data management fit together. Looking outward from data
architecture, it must work together with business architecture, systems
architecture, and technology architecture as an integral part of
enterprise architecture. Looking inward, it must connect the dots among
data models, structures, sources, processes, flows, products, services,
technologies, users, use cases, business impacts, and more.
This 5-hour online course looks at the concepts, principles, and
products of data architecture through six different lenses – business
alignment, data lifecycle management, data usage, content &
structure, processing & storage, and technology. Putting the pieces
together, the course concludes with a look at six steps to architecture
design, six methods of architecture implementation, and the importance
of continuously evolving data architecture.
You will learn:
- Multiple, complementary definitions of data architecture
- Why data architecture is needed – both business and technical cases
- How data architecture relates to enterprise architecture, data culture, and data governance
- Six perspectives of data architecture and the underlying concepts of each
- What is produced by architectural activities and processes
- How data architecture is developed, managed, and implemented
- Best practices for data architecture
Learn More
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Updated Course: Big Data Fundamentals
Big data technologies—data
platforms, ingestion tools, integration tools, and NoSQL databases—help
to meet big data challenges. With up-to-date technologies and skills
data volume, variety, and velocity can be effectively managed. But
technical management of big data is only the first step in harnessing
big data. It is what you do with big data that matters most. Integrating
big data into the business, increasing value density of big data,
enabling data science, artificial intelligence, and machine
learning—these are the real opportunities of big data.
This 3 hour 15 minute course addresses both business and technical interests, providing
guidance about how to fit big data into your enterprise. This practical
session will help you make the most of big data and realize the value
opportunities in all of the data that is available to you.
Price Increase April 2023
We wanted to give you a heads up that we are planning a small price increase on April 1, 2023. The exams prices for CIMP and CDS exams will increase from $80 to $100 and certification package prices will increase accordingly. These modest price increases are our first in over 13 years, and our certification exams are still priced at least 50% below typical certification exams in our industry!
If you would like to lock in the current prices you can buy courses now and take them later. Select employees you wish to enroll any time in the next 12 months, then take another 12 months for individual courses, or 24 months for Education Packages containing 4 or more courses, to complete the coursework.
If you have any questions about this upcoming price increase please email us at support@elearningcurve.com.
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