When Data is at the Core of Your Business
You wake up one day to find that data is at the core of your business. It's happening across diverse industries and it's happening quickly.
Getting control of your data and realizing its potential are critical to your company's future, but the challenges can be enormous:
- You're collecting information from multiple unstructured sources
- Your data is buried in diverse applications and spreadsheets.
- You have multiple legacy systems
Why a Data Factory?
The key to getting this data under control and realizing its potential is the implementation of an intelligent, integrated production system, designed and managed with the rigor of an actual factory, where all of the moving parts are managed efficiently, accelerating the delivery of real intelligence and real value.
If you need an automated production system that manages the collection, processing and visualization of data, you need a data factory.
Beyond Data Warehousing
A data factory requires many of the components of traditional data warehousing but the approach is more flexible and more scalable and the solutions are built are around automated output rather than passive storage.
Types of Data Factories
There are many ways to think about and define a data factory. The four most important are:
- The Operational Data Factory
- The Software-as-a-Service Data Factory
- The Information Service Data Factory
- The Enterprise Data Factory
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A Sample Framework Designed by Our Chief Architect
This is an example of a proprietary data factory schematic. While this is a proprietary schematic, it is a good representation of the essential components of any data factory. It was designed by our chief architect, Ted Westerheide.
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The Data Factory Experts
Aginity specializes in designing and constructing scalable data factories and data production systems by integrating diverse components and implementing the processes and tools that make them run efficiently. The systems we build are true factories, incorporating quality control, traceability and active process management to create flexible solutions that work together end-to-end.
Managing the Moving Parts
A data factory consists of multiple subsystems, each requiring smooth integration into the whole:
- Data Pipeline
- Service Delivery Management
- Process control
- Dimension Management
- Measure and Analytic Management
- Metadata Management
- Quality Control
We can help you develop a product roadmap for each subsystem, helping you make the right long-term decisions, while leveraging the technology you already have in place.
Putting it All Together
A data pipeline is at the heart of the system. It can be thought of as the conduit where data is received and transformed and insights are delivered to your customers.
Using a pipeline approach, we develop common controls, algorithms and rules that extend across the entire system, rather than being isolated to data loading or an outbound process. In this manner, each subsystem works together to ensure quality and consistency of performance across the system.
The extract, transform, and load (ETL) process is a critical element of a data production system. If your company is implementing an ETL solution, it's an ideal time look at your data processes and systems from a wider view. ETL challenges are very often addressed by the development of an efficient data factory, designed and built to align with your long-term business objectives.
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