Data Vault 2.1 Boot Camp and Certification (English)

Self-Paced Online Videos 3 Days + Live Training 3 Days with a certified Trainer

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The Data Vault Boot Camp is an introductory and intermediate class that takes you through the why, what and how of Data Vault 2.1. It includes the coverage of business justifications, covering a host of new topics, above and beyond just Data Vault modeling.

This class covers modeling, methodology, architecture, and implementation – a true system of Business Intelligence scope, which turns thestudent into a practitioner. Despite the current information available in the book “Building a Scalable Data Warehouse with Data Vault 2.0”, the boot camp course addresses more in-depth analysis of the concepts behind Data Vault 2.1. In addition, it also contains a myriad of topics not covered before, including best practices.

The course provides ETL design paradigms, working templates (both conceptual and SQL) and best practices for successful Data Vault 2.1 implementation. Among others this class provides an in-depth explanation on how to upgrade your DV1.0 system to DV2.1

AGENDA

15+ Hours computer based training, online only (preparation videos for live training)

• Core Foundations: DV2.1 methodology, modeling layers, governance
• Advanced Architecture: Data Lakes, streaming, security, virtualization
• Managed Analytics: Self-service BI, taxonomies, governance, write-back
• Data Modeling: CIF/NoSQL, agile delivery, one-day sprints
• Real-World Tools: JSON integration, record-source tracking, hashing & CDC
• Stream Processing Starter: Build your first real-time pipeline
• Mandatory Content: Necessary to understand the live training

Live Training (online or on-site)

• Day 1: Hubs, Links & Satellites, Business Key Collision Codes, Driving Key patterns
• Day 2: Advanced Satellites, JSON for complex types, PITS & Bridges, auditability
• Day 3: High-performance ELT/ETL, stream processing, anomaly detection & correction

Objectives

• Learning how to use Data Vault and become certified
• Discussing business justifications and technical descriptions of all pillars of Data Vault 2.1
• Exploring the architecture, implementation, methodology, and modeling components of Data Vault 2.1
• Understanding ETL design paradigms – working templates within conceptual and SQL formats
• Developing best practices for successful Data Vault 2.1 implementations