Data Vault Modeling Certification course (CDVDM)
This course will guide you through the Data Vault modeling approach from modeling constructs and patterns to applying data vault principles in your DWBI program. This course covers also loading paradigms, architectures, and how to develop an effective overall data vault data warehouse program.
Thank you for your interest in the Data Vault certification course. Your successful completion of this course will result in a designation of Certified Data Vault Data Modeler – CDVDM. Data Vault modeling is rapidly becoming the standard modeling approach for the data warehouse. Over 1200 major international organizations are applying data vault modeling techniques today. The data vault principles are specifically well suited for data integration and historization. When applied to data warehousing programs data vault modeling can provide the organization with some very compelling benefits. These include agility, auditability, adaptability, alignment with the business, and support for operational data warehousing initiatives. To gain these benefits the organization will need to commit to both EDW program level factors as well as specific data vault modeling patterns, standards and methods. This course will guide you through these modeling patterns, rules and methods to prepare you for successful data vault modeling in your organization. We look forward to seeing you in the classroom.
29th to 31st March 2017
Single Rate $3,200*. Early Bird Rate $2,800* (expires 1st February 2017).
*prices excludes GST
Who Should Attend?
The target audience for this course includes data warehousing and business intelligence professionals, data modelers, data architects, model managers, data warehouse DBAs, data scientists, and ETL professionals. Because data vault modeling concepts are closely aligned with the business aspects of DWBI programs our target audience also includes program managers, business analysts, information modelers, information architects, and other BICC professionals.
Requirements and Pre-Requisites
This course does not require a computer or other device. Students should be prepared to take notes. All materials, work books, case books and exercises will be provided. There are no pre-requisites for this course. It is helpful if you bring any specific topics that you are interested in concerning data vault. It can also be useful if you have the time for web research on the topic prior to class. Depending on the course section, the first day of class may be preceded by 2 weeks of online on-demand video lessons.
The CDVDM course is a three (3) day intensive classroom based course. The course consists of five core components plus the certification exam. The classroom time is 40% Classroom Lecture, 30% Small Group Exercises and 30% Interactive Discussions.
The course materials consist of a published course book that follows the classroom lectures and several modeling cases for the small group modeling labs. Class interactive discussions are based on these cases plus workbook examples.
Here's an outline of what will be covered during this 3-day workshop
0830 Welcome & Introductions
0900 Data Warehouse Modeling
0930 Ensemble Modeling
1000 Data Vault Core Constructs
1020 Comparing Modeling Methods
1045 Tracking History
1055 Information Modeling
1115 Data Vault Modeling Process
1115 First Small Group Case Exercise
1300 Continue First Case
1345 Class Discussion & Groups Present
1415 Link Design & Exceptions
1430 SAL & HAL
1440 Business Key Topics
1500 Disconnected & Reference Tables
1530 Unit of Work
1600 Second Small Group Case Exercise
1700 Wrap up for the Day
0830 Q&A from Day One
0915 Continue Second Case
1045 Class Discussion & Groups Present
1120 Satellite Design & Exceptions
1135 Expanded UOW & Keyed Instance
1150 Modeling Address
1300 Bike Shop Example
1320 Applying the DV Ensemble
1335 Standard and Expanded Attributes
1350 Managing Dates / Bi-temporal Data
1400 Third Small Group Case Exercise
1530 Continue Third Case
1545 Class Discussion & Groups Present
1620 Raw & BDV Layers
1630 Hyper Forms and Unstructured
1640 SID versus Hash
1700 Wrap up for the Day
0830 Q&A from Day Two
0900 Data Vault & Agility
0930 Data Vault & Big Data
1000 Architecture & Layers
1020 Helpful Tables: Bridge & PIT
1045 Loading Patterns
1130 Class Discussion
1145 Recap for Exam
1300 Recap & Discussions
1330 CDVDM EXAM