WhereScape is thrilled to invite you to...
What is Data Vault?
In simple terms, a Data Vault is an agile system of business intelligence built to solve inadequacies in the Data Warehouse. Data Vault is one of the most popular methodologies when it comes to developing and maintaining a Data Warehouse.
What is Data Vault Modeling?
Data Vault puts an emphasis on collaboration and “responding to change”. Other methodologies such as 3NF and Dimensional modeling address the data but they fail to address the people and technology that impact data warehouses.
Data Vault embraces the ever-changing technology environment. Data Vault is built to be a “living fabric” across Cloud and on-premises databases. It amalgamates sources from multiple geo-locations in a combination of real-time and big data formats.
Data Vault Benefits
1. Adaptability
Data Vault is made to scale. If there’s a change in your data warehouse, Data Vault is built for change. It has the ability to adapt to change without re-engineering. Traditional data models could take months to adapt to changes within the data warehouse. No additional work is required when adding information to the core data warehouse.
2. Near Real-time Data
Data Vault is built to handle the scale of terabytes to petabytes of information. Companies that are ready for a Big Data solution can highly benefit from a Data Vault solution. This is thanks to its ability to cypher and have near real-time loads of data. This is due to the construction efficiency of the Data Vault methodology. It serves data inquiries faster than other methodologies.
3. Documentation
Data Vault makes it easier to trace the history of development. When you need to track changes, there’s less of a need to find the specific developer who made the change. The Data Vault is constructed to where the changes can easily be historically tracked.
Data Vault 2.0
Data Vault 2.0 combined with WhereScape technologies, dramatically cuts the time to develop Data Vault-based analysis solutions with built-in automation, wizards, patterns, models and templates. This can lead to the delivery of Data Vault-based solutions in hours and days as opposed to months and years.
Data Vault Express
WhereScape Data Vault Express reduces the risk of failure by getting your project to production faster with higher quality and consistency of data. WhereScape does this through automating the design, development, deployment and operation of enterprise Data Vaults. This includes building hubs, satellites, and links, in addition to automatically managing metadata attributes such as load date and record source. All while generating uniform and optimized code native to your target platform.
As well as creating the Data Vault tables, Data Vault Express creates the supporting objects, which often grow to a very large number as you increase the functionality of the Data Vault. This is one of the many reasons this modeling approach cannot be effectively managed with manual processes. For Data Vault, an automation tool is not just a nice to have – as it was often perceived to be with dimensional modeling – it provides essential support both during implementation and day-to-day/ongoing management.
WhereScape Data Automation
WhereScape eliminates the risks in data projects and accelerates time to production to help organizations adapt better to changing business needs. Book a demo to see what you can achieve with WhereScape.
What Makes A Really Great Data Model: Essential Criteria And Best Practices
By 2025, over 75% of data models will integrate AI—transforming the way businesses operate. But here's the catch: only those with robust, well-designed data models will reap the benefits. Is your data model ready for the AI revolution?Understanding what makes a great...
Guide to Data Quality: Ensuring Accuracy and Consistency in Your Organization
Why Data Quality Matters Data is only as useful as it is accurate and complete. No matter how many analysis models and data review routines you put into place, your organization can’t truly make data-driven decisions without accurate, relevant, complete, and...
Common Data Quality Challenges and How to Overcome Them
The Importance of Maintaining Data Quality Improving data quality is a top priority for many forward-thinking organizations, and for good reason. Any company making decisions based on data should also invest time and resources into ensuring high data quality. Data...
What is a Cloud Data Warehouse?
As organizations increasingly turn to data-driven decision-making, the demand for cloud data warehouses continues to rise. The cloud data warehouse market is projected to grow significantly, reaching $10.42 billion by 2026 with a compound annual growth rate (CAGR) of...
Developers’ Best Friend: WhereScape Saves Countless Hours
Development teams often struggle with an imbalance between building new features and maintaining existing code. According to studies, up to 75% of a developer's time is spent debugging and fixing code, much of it due to manual processes. This results in 620 million...
Mastering Data Vault Modeling: Architecture, Best Practices, and Essential Tools
What is Data Vault Modeling? To effectively manage large-scale and complex data environments, many data teams turn to Data Vault modeling. This technique provides a highly scalable and flexible architecture that can easily adapt to the growing and changing needs of an...
Scaling Data Warehouses in Education: Strategies for Managing Growing Data Demand
Approximately 74% of educational leaders report that data-driven decision-making enhances institutional performance and helps achieve academic goals. [1] Pinpointing effective data management strategies in education can make a profound impact on learning...
Future-Proofing Manufacturing IT with WhereScape: Driving Efficiency and Innovation
Manufacturing IT strives to conserve resources and add efficiency through the strategic use of data and technology solutions. Toward that end, manufacturing IT teams can drive efficiency and innovation by selecting top tools for data-driven manufacturing and...
The Competitive Advantages of WhereScape
After nearly a quarter-century in the data automation field, WhereScape has established itself as a leader by offering unparalleled capabilities that surpass its competitors. Today we’ll dive into the advantages of WhereScape and highlight why it is the premier data...
Data Management In Healthcare: Streamlining Operations for Improved Care
Appropriate and efficient data management in healthcare plays a large role in staff bandwidth, patient experience, and health outcomes. Healthcare teams require access to patient records and treatment history in order to properly perform their jobs. Operationally,...
Related Content
What Makes A Really Great Data Model: Essential Criteria And Best Practices
By 2025, over 75% of data models will integrate AI—transforming the way businesses operate. But here's the catch: only those with robust, well-designed data models will reap the benefits. Is your data model ready for the AI revolution?Understanding what makes a great...
Guide to Data Quality: Ensuring Accuracy and Consistency in Your Organization
Why Data Quality Matters Data is only as useful as it is accurate and complete. No matter how many analysis models and data review routines you put into place, your organization can’t truly make data-driven decisions without accurate, relevant, complete, and...
Common Data Quality Challenges and How to Overcome Them
The Importance of Maintaining Data Quality Improving data quality is a top priority for many forward-thinking organizations, and for good reason. Any company making decisions based on data should also invest time and resources into ensuring high data quality. Data...
What is a Cloud Data Warehouse?
A cloud data warehouse is an advanced database service managed and hosted over the internet.