Become a Certified DV2 Practitioner

By becoming a certified practitioner you will be a part of an elite group of highly skilled individuals that are ready to deliver those valuable outcomes that businesses are looking for through your DV2 implementation.

✔ Become a part of an elite group of practitioners

✔ Learn the data vault standards from an expert instructor with years of industry experience​

Understand how a data vault 2.0 implementation can provide real, tangible value to
businesses

✔ Ensure your data vault 2.0 implementations are built right everywhere, everytime

✔ Data Architect

✔ Data Engineer

✔ Data Modeler

✔ Data Warehouse Developer

✔ ETL Developer

✔ Data Scientist

✔ Project Manager

Basic understanding of:

  • Data Warehousing
  • SQL Star Scheme,
  • Dev Test Production
  • Data Modeling Concepts

Exceptions: Managers, Directors, and CLevel are welcome to attend to gain
understanding of what Data Vault is and how your team is being trained. Business leaders only need to attend a small portion of the class.

Our training is authored by Data Vault Alliance and delivered by our Authorized Training Partners

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Training Course For You

This is the sole official certification course for Data Vault 2.0 and the only means of becoming a DV2 Practitioner. In this 7day course, you’ll learn about three foundational pillars of data vault: Methodology, Model, and Architecture. With these standards, you’ll learn how to build a successful and dependable data vault implementation that will produce tangible and predictable business outcomes.

Topics Covered

✔ What is Data Vault 2.0?

✔ DV1.0 Compared to DV2.0

✔ Issues Faced Today

✔ Data Vault 2.0 In Business

✔ Managed Self-Service BI

✔ Agile Delivery and DV2.0 Methodology

✔ Agile Requirements Gathering

✔ Technical Numbering

✔ Roles and Release

✔ Architecture Components

Tools and Resources Covered in Class

The class covers many different business intelligence concepts, methodologies, tools, and
applications. You will learn the benefits and best practices of building realtime data warehouses
and everything needed to do it. From Big Data to NoSQL, from Unstructured to SemiStructured
to Fully Structured, and from Hybrid solutions to Relational this class has it covered.

Some of the methodologies, tools, and applications covered include: Hard Real Time, Near Real
Time, Azure, Hadoop, Hive, Spark, Tez, Drill and more. We dive into Agile Development and
how it works with Disciplined Agile Delivery, SAFe, and Data Vault Methodology including
CMMI, SEI, Six Sigma, and TQM principles and best practices.

What Students Say

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