NEW! CDVP2.1® - Certified Data Vault 2.1 Practitioner-LIVE-London UK

ORGANIZER - DataRebels LLC

Instructors: Dan Linstedt, Cindi Meyersohn

What to expect...

ALL NEW DV 2.1 COURSE - LIVE, IN-PERSON EVENT!!!

Exclusive, limited time offer! DataRebels is launching the all new CDVP2.1 course with Dan Linstedt and Scott Ambler - LIVE & IN-PERSON. Don't miss this opportunity to be co-trained with THE Author & Inventor of Data Vault, DAN LINSTEDT and to be coached through the CDVP2.1 Workshop by Dan and Cindi.

The Data Vault CDPV2® Boot Camp class provides an introduction to the Data Vault 2.1 System of Business Intelligence as well as intermediate topics. The course covers the business justification for the DV 2.1 solution and provides a technical overview of the solution’s methodology, architecture, and model – basically, the why, what, and how aspects of designing, building, and implementing a DV 2 Enterprise Data Analytics Solution.

The course includes both a practicum in hands-on design and a separate self-paced, hands on, online Modeling training video delivered by Dan Linstedt himself which provides an end-to-end full cycle build out complete with DDL, optimized SQL scripts, and test data. The course also discusses ELT/ETL best practices and provides SQL code examples/templates.

DataRebels' course provides certification exam preparation, vendor demos, and access to select vendors tools.

DataRebels LLC is a licensed authorized training organization of Data Vault Alliance Holdings, LLC, on the web at:

CDPV2® and other licensed courses are brought to you by our authorized training organizations.

The full course agenda can be found here: https://bit.ly/4bVxvMa

As a Data Vault 2.0 AND 2.1 Authorized Training Organization, DataRebels LLC, is exclusively partnered with Dan Linstedt to deliver on-premise, instructor-led CDVP2® training to the US Federal government, US Department of Defense, and other government organizations as well as for private sector customers; she provides in-person and streaming/virtual instructor-led training globally.

• Students are expected to have basic knowledge of the Data Vault 2.0 model, which is available by reading the book, “Building a Scalable Data Warehouse with Data Vault 2.0”.

• Please note: this is a professional course, as a student, you are expected to have the following experience before enrolling or attending:

• 1 year of SQL experience
• 1 years’ experience of Star Schema or 3NF
• 1 year of data warehousing or BI experience
• Basic understanding of Dev/Test/Production environments
• Understanding data preparation concepts
• Knowledge of data modeling concepts

• 4-5 DAYS of preparatory, self-paced, on-line video training (included with the paid course). The on-line training provides fundational principles to the primary engineering concepts surrounding the methodology and architecture (People, Process, and Technology) that are fundamental to the Data Vault 2 System of Business Intelligence. The on-line training should be completed prior to attending the 3-day instructor-led Boot Camp.

Approximately 3 to 4 days of video content covering topics such as -

Core Foundations of Data Vault

Synopsis: Master essential data management terminologies and principles, including data lakes, Lakehouse’s, hubs, mesh, fabric, and virtualization. Learn Data Vault 2.1 methodology, architecture, modeling, implementation, and governance to effectively manage complex data environments and align strategies with business objectives. Gain practical skills for data storage, processing, and analysis, emphasizing auditability, scalability, and performance in real-world applications.

Business Impact of this knowledge: Understanding the core foundations of Data Vault ensures that business professionals can effectively manage complex data environments, aligning data strategies with business objectives. Mastery of these principles promotes better decision-making, improved data quality, and robust data governance. This foundational knowledge leads to more efficient data storage, processing, and analysis, which translates to enhanced operational performance and a stronger competitive edge.

Key Concept and Technical Areas Covered: Course introduction, Data Vault 2.1 methodology, architecture, modeling, implementation, and governance.

Advanced Architecture and Methodology

Synopsis: Unlock the full potential of your data management skills by integrating Data Lake systems architecture with Data Vault 2.1. Gain insights into building robust, scalable data solutions, mastering real-time streaming, ensuring data security, and applying data science principles. This lesson equips you to tackle modern data challenges efficiently and effectively.

Business Impact of this knowledge: Advanced architecture and methodology skills enable businesses to build scalable and secure data solutions. By integrating Data Lake systems architecture with Data Vault 2.1, organizations can handle large volumes of data in real-time, ensuring data security and compliance. This capability supports innovative data projects and enhances the ability to respond swiftly to market changes, leading to more informed business decisions and a significant improvement in data-driven strategies.

Key Concept and Technical Areas Covered: Data Lake architecture, security, business rules, real-time streaming, data science integration, and data virtualization.

Managed Analytics and Data Organization

Synopsis: Accelerate your data analytics build cycles with strategic Data Vault implementations and self-service analytics. Manage self-service platforms, develop robust data taxonomies, and ensure efficient governance aligned with business goals. Master the distinctions between managed and simple self-service and understand the critical role of write-back enablement in capturing enterprise knowledge.

Business Impact of this knowledge: Proficiency in managed analytics and data organization accelerates data analytics build cycles, leading to faster and more accurate insights. By developing robust data taxonomies and ensuring efficient governance, businesses can align their data initiatives with strategic goals. This ensures that self-service analytics platforms are effectively managed, transforming raw data into valuable insights that drive business growth and enhance operational efficiency.

Key Concept and Technical Areas Covered: Self-service analytics, data taxonomies, governance, and write-back enablement.

Data Modeling and Methodology

Synopsis: Fill your knowledge gaps in data modeling and agile delivery with this comprehensive lesson. Understand the foundational concepts of data modeling, including Normalized Forms and the layers of Conceptual, Logical, and Physical Modeling, essential for effective database design. Dive into advanced strategies like Dimensional, Data Vault, CIF, and NoSQL Modeling. Learn how Agile principles and Disciplined Agile Delivery, including roles and responsibilities, agile requirements gathering, and achieving one-day Sprints through Scoping, integrate with the DV2.1 methodology to optimize your data projects.

Business Impact of this knowledge: A strong grasp of data modeling and agile delivery principles ensures that business professionals can design effective and scalable database solutions. Advanced modeling strategies enable the management of complex enterprise data systems, optimizing data projects for high-quality outcomes. Agile methodologies foster a collaborative environment, improving project delivery speed and flexibility, ultimately leading to more responsive and adaptable business operations.

Key Concept and Technical Areas Covered: Data modeling styles, Agile principles, and disciplined agile delivery.

Practical Applications and Business Integration

Synopsis: Understand the pivotal role of a Business Data Vault in your data strategy. Learn how it enhances data quality, governance, and stewardship while reducing technical debt through structured rule categorization and strategic considerations. This lesson introduces the Information Delivery Layer for interacting with processed data via integrated EDWs and covers critical concepts of Information Marts, their principles, and the benefits and risks of virtualizing them.

Business Impact of this knowledge: Understanding the practical applications of the Business Data Vault enhances data quality, governance, and stewardship, reducing technical debt. This knowledge ensures that data initiatives are strategically aligned with business needs, optimizing performance and maintaining security. By mastering the Information Delivery Layer and Information Marts, businesses can efficiently interact with processed data, leading to better insights and more strategic decision-making.

Key Concept and Technical Areas Covered: Business Data Vault, information marts, data quality, governance, and technical debt reduction.

Data Management and Quality

Synopsis: Understand the value of data as an asset to maximize ROI from your Data Vault solution. Learn why managed self-service BI with write-back capabilities is essential for leveraging business intelligence outputs and capturing enterprise knowledge. Explore the importance of business keys in tying data to business processes and discover how to measure and assign value to data.

Business Impact of this knowledge: Recognizing the value of data as an asset maximizes the return on investment from Data Vault solutions. Managed self-service BI with write-back capabilities leverages business intelligence outputs effectively, capturing enterprise knowledge that drives strategic decisions. Understanding business keys and data quality ensures that data is treated as a strategic corporate asset, improving governance, continuous improvement, and overall data integrity.

Key Concept and Technical Areas Covered: Data as a strategic asset, data quality, business keys, and data governance.

Technical Concepts and Implementation

Synopsis: Advance your data warehousing skills by learning about the benefits of hashing over sequence identifiers in Data Vault 2.1. This lesson will show you how to use hash keys to improve scalability, data integrity, and performance in your EDW. Explore the importance of consistent terminology in DV2.1 to enhance collaboration and ensure data accuracy. We will also discuss modeling techniques and the incorporation of Change Data Capture (CDC) and Audit Logs within a Data Vault 2.1 implementation.

Business Impact of this knowledge: Advanced technical skills in hashing and sequence identifiers improve the scalability, integrity, and performance of data warehouses. Consistent terminology enhances collaboration and ensures data accuracy across the organization. These technical competencies lead to more efficient and reliable data management processes, reducing errors and improving the overall effectiveness of data operations. This translates to better resource utilization and more accurate business insights. The significance of Change Data Capture (CDC) systems and the critical role that they will play in future agility are discussed.

Key Concept and Technical Areas Covered: Hashing techniques, sequence identifiers, data integrity, performance optimization, consistent terminology, CDC/Audit Log modeling and processing techniques.

• Walk-thru / Follow Along, Hands-On Videos taught by Dan Linstedt
• Downloadable DDL
• Downloadable SQL Scripts for Data Loading

The Instructor-led portion of the Certified Data Vault 2.0 Practitioner (CDVP2) course offers comprehensive, Instructor-led lecture, discussions, and hands-on training designed to empower technical data professionals with the skills needed to build proficiency in the Data Vault 2.1 solution – its methodology, architecture, and model.

This immersive experience focuses on real-world applications and recommended practices for data architecture, modeling, implementation, and governance. Participants will gain in-depth knowledge of complex data environments, ensuring they can effectively manage and optimize their organization’s data strategies for enhanced auditability, scalability, and performance with near-zero refactoring or reengineering.

By consolidating these key concepts, topics and lessons, the CDVP2 course provides a thorough, practical education tailored for technical data professionals, ensuring they are well-equipped to handle modern data challenges and drive their organization’s data strategy forward.

Mastering Hard Rules, Multi-Tenancy, and Core Data Vault Structures

Synopsis: The first day of the Certified Data Vault 2.1 Practitioner (CDVP2) course focuses on mastering hard business rules, multi-tenancy, and the foundational structures of Data Vault. Participants will learn detailed strategies for implementing system fields, data formatting, standardization, and advanced security practices. The day also covers tenant isolation, performance optimization, and regulatory compliance in multi-tenant architectures, using real-world case studies and practical examples. Additionally, you will explore the core structures of Data Vault, including hubs, links, and satellites.

Business Impact of this knowledge: By mastering these topics, data professionals can optimize large-scale data environments, maintain robust data governance, and ensure data integrity, crucial for any enterprise managing complex datasets.

Key Concepts Covered

1. Hard Business Rules

2. Multi-Tenancy

3. Understanding BI Basics

4. Ensuring Data Integrity

5. Advanced Techniques for Link Management

6. Key Data Vault Concepts

o * Self-Paced SQL Workshop

Comprehensive Satellite Management and Leveraging JSON

Synopsis: Day two delves into advanced techniques for managing satellites, leveraging JSON for handling complex data types, and enhancing data integration and analysis. Participants will also learn about record source tracking, maintaining data integrity, and auditability.

Business Impact of this knowledge: Proficiency in these areas ensures robust data infrastructure, efficient data integration, and enhanced performance in business intelligence operations.

Key Concepts Covered

1. Comprehensive Satellite Management

2. Leveraging JSON Leveraging JSON and Tracking Record Sources

3. Record Source Tracking

4. BI Performance with PITS and Bridges

o * Self-Paced SQL Workshop

Efficient Data Loading and Real-Time Stream Processing

Synopsis: The final day focuses on optimizing data loading processes and mastering real-time stream processing. Participants will learn advanced techniques for enhancing ELT/ETL performance, integrating real-time data streams, and handling data anomalies and corruptions.

Business Impact of this knowledge: These skills are vital for ensuring efficient, scalable data operations, real-time data handling, and maintaining data integrity and reliability in modern business environments.

Key Concepts Covered

1. Efficient Data Loading

2. Addressing Data Anomalies and Corruptions

3. Stream Processing Starter

4. Streamlined Loading Templates

o SQL Workshop

As we launch our new CDVP2.1 course, DataRebels' is collaborating with Scott Ambler to introduce and deliver a new workshop format. We consider the Workshop to be the Capstone of the course where students are able to apply agile Ways of Working (WoW), Agile Ways of Thinking (WoT), and development skills that have been discussed throughout the course.

This Workshop includes Scott's book, "Choose Your WoW!".

Certifications

All students that attend all three days of the class will receive a Certification of Attendance from DataRebels for completing the course.

If the Data Vault 2.1 Boot Camp with Certification (CDPV2®) course is purchased ,the price of the course includes one private, on-line Certified Data Vault 2.1 Practitioner exam. The student will be granted access to the on-line exam after completion of the course and will be given two weeks to complete the exam once the course is complete.

Group Pricing

Contact DataRebels at [email protected] to inquire regarding group and team attendance.

Cancellation Policy

All student cancellations must be processed through the online enrollment system.

Students who cancel their enrollment 21 or more business days prior to the start of the scheduled training course and who have not been given access to the Self-Paced, On-line Prerequisite Introductory Videos will be offered enrollment in a future session of the course or a full refund of their tuition, minus any processing fees.

Students who cancel enrollment more than 14, but less than 21 days prior to the start of the class, and who have not been given access to the Self-Paced, On-line Prerequisite Introductory Videos will be offered enrollment in a future session of the course or a refund of 50% of their tuition, minus processing fees.

No refunds will be available to students who (a) cancel their enrollment within 14 days of the start of class, or (b) have already been given access to the Self-Paced, On-line Prerequisite Introductory Videos , or (c) have had the course materials shipped for which DataRebels has a Bill of Shipping, or (d) have had access to download the course material .pdf files, or (e) who do not attend the class.

For online or virtual classes, refunds will not be issued due to technical failures or the student's equipment failures. Students may negotiate with DataRebels to reschedule for a class at a later date should technical or equipment failures cause the student to not be able to access and participate in the course.

Classes may be canceled at DataRebel’s discretion due to inclement weather, insufficient student enrollment, or other unforeseen circumstances. DataRebels will make every effort to cancel classes 21 or more days prior to the scheduled start date.

In the event that DataRebels cancels a scheduled class, students will be offered a full refund of their tuition or enrollment in another scheduled session of the class as long as they have not accessed the Self-Paced, On-line Prerequisite Introductory Videos .

DataRebels is not liable for travel expenses incurred due to canceled or rescheduled classes.

Host or Publisher DataRebels LLC, a Data Vault 2.0 CDVP2 Authorized Training Partner