Data Sheet

www.wherescape.com

Data Sheet

www.wherescape.com

Data Vault modeling provides long-term historical storage of data coming in from multiple operational systems. It is also a method of looking at historical data that, apart from the modeling aspect, deals with issues such as auditing, tracing of data, loading speed and resilience to change.

Developing Data Vault models with agility is crucial to building today’s modern data warehouse. The project and database design need to react to a progressively deeper understanding of data, data quality, data opportunities and adapting requirements as the project evolves.

WhereScape and Data Vault 2.0

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“What attracted me to WhereScape is its

ease of use, automation and code generation capabilities, and the growing number of

organizations around the world that are successfully using

WhereScape for Data Vault development.”

– Dan Linstedt, Data Vault Inventor Integrated Solution and Rapid DeliveryData Vault 2.0 leverages parallel database processing for large data sets and provides an extensible approach to design that enables agile development. WhereScape provides data warehouse automation software solutions that enable Data Vault agile project delivery through accelerated development, documentation and deployment without sacrificing quality or flexibility. The integration and synergy between the Data Vault 2.0 methodology and WhereScape’s automation solutions enable organizations to deliver analytical results to decision-makers in hours and days instead of weeks and months while lowering risk and reducing total cost of ownership (TCO).

WhereScape for Data Vault 2.0 enables organizations to adapt to a flexible, ever-changing business environment. It helps clarify DW/BI design complexities and increase usability by business users because it is modeled after the business domain. In addition, WhereScape enables organizations to add new data sources easily without impacting the existing design and to integrate data with emerging NoSQL and big data technologies.

New in Data Vault 2.0:• Modeling – Changes for

performance and scalability as well as Hash keys

• Methodology – Follows Scrum and Agile best practices; support for business rules and quick delivery

• Architecture – Includes NoSQL and big data environments; virtual marts; 2- or 3-tier architectures

• Implementation – Pattern-based to enable automation, documentation and metadata management

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Data Sheet

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*Source: dbta.com, Integrating Big Data in Modern Data Architecture (Jun 9, 2015 - W.H. Inmon and Daniel Linstedt)

Data Vault 2.0WhereScape develops and markets automation solutions for Data Vault 2.0 that provide:

• Estimation templates, business rule application

• Testing best practices on every stage of the SDLC

• Reputability, adaptability to business changes

• Complete tracking back to system of origin

• Dynamic structure adaptation of the data warehouse

• Performance tuning, partitioning standards, indexing strategy, referential integrity

• Pattern based, standardization

• The ability for DV to be easily broken down by subject areas of UoW for delivery

• Scalability and accommodation for growth

• Increased knowledge sharing between IT and business

• Raw, business and virtual Data Vaults

• Centralized metadata management

Automated Solution for Data Vault DevelopmentWhereScape’s automated design and development solutions provide a complete, end-to-end solution for discovering, profiling, planning, building, deploying, managing and renovating Data Vault 2.0 data warehouses and information marts. Please contact us to learn more.

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Data Sheet

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WhereScape Software Supports DV2.0WhereScape has two software products that make DV2.0 projects more rapid and agile:

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WhereScape® RED

• Use of hash keys in stage tables for hubs and links

• Indexing strategy, partitioning, compression

• Business key replication in links and satellites (opt.)

• Parallel loading

• Models retrofitting and diagramming

• Data lineage capturing

• Full compliance with the Data Vault Architecture

• Support of all DW flavors, including raw DV and business DV

• Access layer in views (optional)

• Stage area in Hive Managed tables

• Unstructured data in Hive “External” tables

• Auto-generated DW objects, indexes and procedural code

• Auto-generating documentation, diagrams, reports and maps

• Metadata, Drag-n-Drop, Wizard-driven operations

• Consistency and support

• Agile: Constant delivery of working software

WhereScape® 3D

• Creation of conceptual, logical and physical models

• All modeling patterns: DV, 3NF, Dim. Model, hybrids

• Hash keys in transformations and conversion rules

• Auto-converting “to” Data Vaults and “from” Data Vaults

• Modeling standards and best practices

• Supports modeling in Hadoop/Hive environments

• Customizable Design Rule Conversions for Modeling, EDW and Info Marts

• 2-layer (CLIENT/DB) or 3-layer (CLIENT/APP/DB) architectures support

• Auto-generated DB and non-DB objects based on business rules

• Connections to Hadoop/HDFS data in addition to other traditional sources

• Pattern-based design

• Customizable EDW Conversions: 3NF to DV; DV to Stage/Load tables

• Customizable Information Mart Conversions: DV to Star Schema; DV to Views

• Auto-generated hubs, satellites, links, PITs, other ancillaries

• Connections to Hadoop/HDFS data

• Agile delivery, uniformity and sustenance

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Data Sheet

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About WhereScape

The pioneer in data warehouse automation software, WhereScape empowers organizations constrained by time, money or lack of resources, to deliver business value from their decision support infrastructure – including enterprise data warehouses, business facing data marts, and big data solutions. WhereScape has global operations in the USA, UK, Singapore, and New Zealand. www.wherescape.com

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“Using WhereScape RED and an agile / fail fast approach, our business participates in ‘initiatives’ to calibrate our end

results.Wecandeliverfirstresultsinjustafewdays.”

– Jos Driessen, Manager BICC Strategy & Architecture, Vodafone Netherlands

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