Modern Data Warehouse: 2-Week Assessment

A modern data warehouse is a tool adapted to the much larger data amounts management. Suitable for handling and combining unstructured sets, i.e. Big Data, and also allows you to structure information, and combine its various types.

𝗪𝗵𝘆 𝗶𝘀 𝗶𝘁 𝘄𝗼𝗿𝘁𝗵 𝘂𝘀𝗶𝗻𝗴 𝗠𝗼𝗱𝗲𝗿𝗻 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲 𝘄𝗶𝘁𝗵 𝘀𝘂𝗺𝗺-𝗶𝘁?

Every company needs a solution that allows data storage or analysis. summ-it offers various types of Modern Data Warehouse dedicated to individual business areas, such as: marketing, logistics, production, trade, e-commerce, and finance. Modern Data Warehouse uses full possibilities of the Azure technology stack.

We have the highest competences in the field of implementation and introduction of analytical solutions, confirmed by the qualifications in the 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗼𝗻 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗔𝘇𝘂𝗿𝗲 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 category:

• Architectural approach application according to the best Microsoft practices

• Standardized processes

• Documentation provided completeness and accuracy

• Compliance with standards

• Cloud Adoption Framework best practices usage

𝗠𝗼𝗱𝗲𝗿𝗻 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲 – 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗽𝗼𝘀𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀:

• self-service departmental data warehouse – consolidating data from various sources into a transparent and easy-to-maintain warehouse;

• extended departmental data warehouse – consolidating data from spreadsheets, applications and other sources into a safe, easy to maintain and use warehouse;

• enterprise data warehouse – enabling the consolidation of corporate data and its supplementation with additional, unprocessed information;

• integrated data lake – connected to a data warehouse in order to process information from many different resources, and stream data and subject them to analysis or machine learning processes.

𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲

The tool is perfect for storing marketing data (Marketing Data Warehouse). It is a solution that allows you not only to organize your information, but also to use it to increase the effectiveness of your marketing message. Thanks to machine learning solutions, archival marketing data can support the automation of customer segmentation processes, creating offers or forecasting purchases.