Instant Warehouse
Arbutus Instant Warehouse provides a proven solution for two difficult data problems:
Instant Warehouse Data Warehouse Prototyping
Getting user participation and involvement is one of the key success factors in a successful data warehouse project.
Instant Warehouse is a new prototyping tool that provides you with powerful ways to visualize and analyze your data, and involve end users at the earliest stages. Users are involved because you can prototype your application using the entire set of real data. The Instant Warehouse agile modeling techniques reduce the need for extensive advance documentation reviews and dramatically reduces both the time and effort required to plan the project’s data access. In addition, these tools enable you to minimize up-front costs and reduce risks by limiting your exposure related to unexpected data problems or new requirements.
Benefits:
- Save time and money
- Minimize documentation reviews at the start
- Prototype the data access for your project and get it right the first time
- Evolve the prototype to become the requirements document
- Eliminate (or at least minimize) subsequent re-work
- Start seeing results in days
Reduce risk
- Ensure the project meets your needs, before it’s built
- Involve users at the earliest stages
- Gain acceptance before you implement
Know your source data
- Process your source data directly, and identify problems at the earliest stages
- Apply advanced data quality tools and techniques directly to the source data
- Pre-test your conversion, mapping and cleansing rules directly against the source data
Instant Warehouse Legacy Data Store
Many organizations continue make their IT environments more efficient and cost effective by decommissioning or consolidating their hardware platforms. One of the challenging outcomes of this process is the storage and use of historical data. Much of this data cannot be cost justified to migrate into a data warehouse but, is still needed for periodic and important use. Instant Warehouse is designed to provide a very cost effective solution to this problem.
Arbutus’ Windows and Linux Data Engines are fully compatible with all data set structures and data types encountered on your mainframe, Unisys, HP or DEC platform. This means that the process of staging data is as simple as a file transfer, with no data transformation required.
The result is that you can implement a data mart style solution, with full access for any type of query, analysis or reporting needs, in a matter of days.
Overview:
- Continue to use historical data from decommissioned platforms like IBM mainframes, Unisys, HP and DEC
- Unconverted legacy data can be stored and utilized on any Windows or Linux server
- One time set up of Legacy Data Store for use by end user applications can be done within hours or days
- Eliminate the time and expense of moving all your legacy data into a data warehouse
- Historical data and active data can be easily combined into one data source
- Simplifies the re-purposing of historical data
- No training needed for end users to access the legacy data
