The main goal of the data architecture is to find the source and determine the types of data that are needed for the full development of the client’s business. This goal is achieved through information management. The strategy created to achieve this goal must be understandable and implementable by stakeholders, as well as consistent and usable.
It’s no secret that today every company has a personal database. It stores all the data that appeared as a result of various operations performed in the company. The main difficulty is the need to scale them, optimize their content and manage all this information.
Based on our company’s experience, it follows that the data architecture is designed and built in the process of planning a new system. This is necessary in order to answer the questions: How will the data be processed? Where will they be stored? How to use the data and access it securely? Therefore, in order to create an effective strategy for the rational and safe management of data arrays, it is necessary to first determine the relationship and the type of management that is appropriate for a particular type of data.
Our company develops your databases from the very beginning or improves existing ones to reduce the effort of data transformation. Therefore, we have professionals in their field who are able to work with data warehouses and manage them.
We also specialize in big data for data-heavy companies where it’s important to access that data as quickly and efficiently as possible. Cloud data storage through the development of data lakes with the payment of this service on demand gives the client additional options.
Such as cost savings and access to all your company-wide data, regardless of the route or format. This advantage allows you to operate with reliable knowledge about everything that happens in your business, and choose the best decisions for making them.
A data warehouse is a system-based, self-contained, and time-varying database. If such data storage has a convenient size and structure, it will be useful for summarizing and monitoring data. We pay attention to the most effective systematization of the customer’s company data so that their visualization is accessible.
An additional option for data storage is the collection of information from a specific department or department in data marts. This strategy makes it possible to query data with the best structure of a multidimensional model designed for a specific task within a company. Its versatility, through highly specific searches, makes access and analysis even easier