About Data Vault 2.0
The Data Vault 2.0 System of Business Intelligence represents a major evolution of the already successful Data Vault architecture and Certus Solutions is the only registered Data Vault 2.0 training partner in ANZ.
Since its launch in 2013, Data Vault 2.0 has been increasingly adopted as a best practice standard for data warehousing and is fully applicable to Big Data deployments.
Companies including Telstra, Audi, Lockheed, Vodafone and Tesco have already implemented automated data warehousing using Data Vault, allowing them to answer business users’ questions in hours and days instead of weeks and months, while lowering risk and reducing total cost of ownership.
Speed, flexibility and accuracy are the key advantages as you reduce the deployment time of a new data warehouse and, perhaps more importantly, dramatically reduce business logic implementation cycles.
This is important because it underpins critical business philosophies such as Agile IT development and Six Sigma continual process improvement.
With greater flexibility comes the ability to incorporate changes quickly, without affecting the existing architecture, thereby reducing the need for shadow or bi-modal IT teams.
Data accuracy is critical to business success and Data Vault 2.0 allows you to create trust in your data warehouse as a true system of record; giving you the confidence to implement a data-driven business strategy.
Features
- Frictionless data load
- Extensive possibilities for data attribution
- Business rules separated from load
- All data relationships are key driven
- Relationships can be dropped and created on-the-fly
- Data Mining can discover new relationships between elements
Benefits
- Reduce business cycle times and create better ROI
- Trust the integrity of the business insights from your data warehouse and its ability to remain compliant
- Maintain full traceability of your data back to the source
- A data strategy capable of scaling to hundreds of Terabytes or Petabytes
Why Data Vault 2.0
Data Vault is a system of data warehousing and business intelligence that is comprised of three major components: the Data Vault Model, the Data Vault Methodology and the Data Vault Systems Architecture.While Data Vault (now DV1.0) was revolutionary on its own and has been extremely successful in the past, it was essentially focused on data modelling and is now outdated. Data Vault 2.0 takes it to the next level as a complete System of Business Intelligence... and it supports NoSQL too. Data Vault 2.0 brings improvements in the following areas.
| DATA VAULT 1.0 | DATA VAULT 2.0 |
|---|---|
| Purely a modelling certification – DV Modeler. | Focused on agility, process, methodology, design, architecture and the deployment of DV – DV Practitioner. |
| Only deals with relational databases. | Extends to implementation and process maturity. |
| Does not deal with real-time requirements. | Works with MPP and Hybrid architectures (SQL and NoSQL Hybrids). |
| Out of date, 15 year old specification. | Up to date and continues to be maintained. |
| Does NOT deal with maturity, people or processes. | Fully embraces CMMI, Scrum, Six Sigma, TQM. |
| Not designed to scale to the petabyte levels. | Completely scalable across NoSQL and SQL platforms. |
Trainers
Vincent McBurney
Information Architect and DV 2.0 Trainer
Vincent is an experienced Information Architect who has been designing and building solutions for Insight for over twenty years with customers in Australia, Europe and the United States. Vincent was an early adopter of Data Vault Modelling in Australia in 2006 and has worked on Data Vault projects across many platforms for over ten years. Vincent has deep expertise in Information Integration and Governance, Enterprise Data Warehousing, Data Lakes and Business Analytics. Vincent is also an experienced presenter at conferences and user groups and is active on blogs and forums.
Nols Ebersohn
Principal Architect and DV 2.0 Trainer
Nols is an expert in data warehousing and business intelligence implementation, and has used a number of tool sets including Data Vault 2.0. Over the last 20 years he has acquired thorough experience and skill across a broad range of disciplines and is committed to establishing capabilities and guiding these capabilities from infancy to maturity for organisations. His work for Certus across various industries has helped him acquire an in-depth understanding of traditional issues faced by all of today's organisations. He is an expert in Big Data, NoSQL, and Hybrid solutions and has worked on numerous commercial Data Vault projects. He is a Certified Data Vault 2.0 Practitioner and a Certified Data Vault Trainer.
Schedule
| 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 Releases |
| Data Vault 2.0 Architecture Components | Business Processes to Business Keys |
| Hashing and Sequences | Common Terminology |
| Multi-Tenancy | Core DV Structures |
| Dependent Child (Data Modeling) | Driving Key |
| Link to Link Denormalization |
| Link Unit Of Work | Applying Links |
| Non-Historized Link | Satellites in Depth |
| Record Source Tracking | Applying Set Logic |
| ELT / ETL Performance Tuning | Loading Architecture |
| Column Comparison and Hash Differences | Zero Key Concept |
| Staging Loads | DV2.0 Loading Templates / Standards |
| End-Dating Satellite Templates | Real-Time Loading |
| Point-in-Time and Bridge Tables | Dealing with Corrupted Data |
Course Locations
Sydney
Level 1, 70-76 Alexander St
CROWS NEST Sydney, NSW 2065
Dates: Tuesday 17th - Thursday 19th April 2018
Melbourne
Level 6, Building 2, 4 Riverside Quay,
Southbank, Melbourne VIC 3006
Dates: Tuesday 26th - Thursday 28th June 2018
Brisbane
Level 19, 307 Queen Street,
Brisbane 4000
Dates: Wednesday 23th - Friday 25th May 2018
Wellington
Level 6, 36 Customhouse Quay
Wellington 6011
Dates: Tuesday 20th - Thursday 22nd March 2018
Sessions run from 8:30am to 4:30pm each day. Catering for Morning tea, Lunch and Afternoon tea is provided.
Upcoming training sessions
Select your desired date and location from the calender below to register for your Data Vault training
| January | February | March | April | May | June | July | August | September | October | November | December | |
| Sydney |
23 - 25
Book Now |
17 - 19
Book Now |
11 - 13
Book Now |
23 - 25
Book Now |
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| Melbourne |
20 - 22
Book Now |
26 - 28
Book Now |
22 - 24
Book Now |
16 - 18
Book Now |
11 - 13
Book Now |
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| Brisbane |
27 - 01
Book Now |
23 - 25
Book Now |
28 - 30
Book Now |
13 - 15
Book Now |
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| Wellington |
20 - 22
Book Now |
26 - 28
Book Now |
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| Auckland |
20 - 22
Book Now |
4 - 6
Book Now |
Upcoming training sessions
Select your desired date and location from the calender below to register for your Data Vault training
| Sydney | Melbourne | Brisbane | Wellington | Auckland | |
| Jan |
23 - 25
Book Now |
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| Feb |
20 - 22
Book Now |
27 - 01
Book Now |
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| Mar |
20 - 22
Book Now |
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| Apr |
17 - 19
Book Now |
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| May |
23 - 25
Book Now |
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| Jun |
26 - 28
Book Now |
20 - 22
Book Now |
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| Jul |
11 - 13
Book Now |
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| Aug |
22 - 24
Book Now |
28 - 30
Book Now |
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| Sep |
26 - 28
Book Now |
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| Oct |
23 - 25
Book Now |
16 - 18
Book Now |
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| Nov |
13 - 15
Book Now |
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| Dec |
11- 13
Book Now |
4 - 6
Book Now |
