InfoWedges, the DATA company!
BIG DATA, DATA WAREHOUSE & MDM
Data Services, Data Architecture, Data Virtualization, Cloud (Azure, AWS & Google)
BIG DATA
Each big data initiative starts with a data lake in order to centralize data for purposes such as data science, artificial intelligence and data driven processes. A data lake is a data platform to store different types of data (structured, semi structured and unstructured) and to support multi-speed data-processes (batch, near realtime and/or streaming)
DATA SCIENCE & DATA DRIVEN
Let data work for your company, discover new insight in data and embed the data science scripts in your operation processes for real-time interaction.
ARTIFICIAL INTELLIGENCE
Some tasks can be better and faster done by using artificial intelligence. By using machine learning techniques the AI application becomes smarter and smarter (by learning from itself). The application can read, understand and interpret data.
DATA LAKE
A data lake is the central data storage for data science, data driven and artificiel intelligence initietives. InfoWedges can help you get started with a data lake in Azure, AWS or Google for data science, data driven and artificial intelligence purposes.
Get inspired by InfoWedges, we helped many customers in the realization of a Data Platform.
Contact us, we are ready to get you started in Azure, AWS and/or Google.
DATA WAREHOUSING
Data warehouse automation
A modern data warehouse is generated based on meta data definitions instead of coded manually. This decreases the cost of realization, cost of testing and the cost of ownership. It also improves the quality of the data warehouse in terms of full data lineage, reusable/centralized data transformations and a data model driven design.
Data virtualization
A modern data warehouse makes a distinction between data storage and data compute. This makes it possible to bring data together in a data virtualization layer, no matter what data storages are below. It makes it possible to optimize storage by saving the cold data in a low cost data storage, there is no need to migrate all existing data storages to a single data warehouse data storage and it allows you to use (semi) unstructured data for analyses as well.
Most of the existing data warehouses are too expensive, inflexible on changes, data is not optimized for its pupose and data quality is poor. Data warehouse automation in combination with data virtualization can quickly turn this back.
Contact us, learn from the experiences of InfoWedges!
Master Data Management
Master Data is a key component of data integration. For instance a customer 360 can only be achieved when a customer is recognized as single definition over the different data sets and applications. Most organizations do have multiple definitions for the same customer, product or supplier which makes it difficult to integrate data and relate data elements for analysis.
Customer 360, optimize your sales!
CONTACT US
InfoWedges BV
Info@InfoWedges.com
+31(0)630019091
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