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Warehouse vs Microsoft Fabric Lakehouse: Choosing Best Option

Warehouse vs Microsoft Fabric Lakehouse: Choosing Best Option

by Nikolai Pavlov | Jul 27, 2023 | Articles

Data management is a crucial component of any data-driven organization. Faced with large volumes of data and increasing complexity, organizations are in desperate need of solutions that can effectively handle and make sense of this data. Among the plethora of...
OneLake for One Truth: Microsoft Fabric’s Potential for Enterprise Data Warehousing

OneLake for One Truth: Microsoft Fabric’s Potential for Enterprise Data Warehousing

by Nikolai Pavlov | Jul 8, 2023 | Articles

Data is often scattered across different platforms and managed by multiple vendors. This leads to disjointed, cumbersome, and costly data architecture. However, with the introduction of Microsoft Fabric’s OneLake, the world of data warehousing and data...
Riding the Data Wave: Use Cases and Potential of Data Lake

Riding the Data Wave: Use Cases and Potential of Data Lake

by Nikolai Pavlov | May 29, 2023 | Articles

In the previous article, we talked about a data lake and its differences from a data warehouse. In this article, we will continue the data lake subject, looking at common use cases in which a data lake is a better option than a data warehouse. A data lake is a large,...
Data warehouse vs data lake: choosing the right data storage

Data warehouse vs data lake: choosing the right data storage

by Nikolai Pavlov | May 8, 2023 | Articles

With the fast development of modern data storage solutions, two popular options have emerged: data warehouses and data lakes. While both store and manage large volumes of data, they differ in terms of structure, design, and use cases. In this article, we explore...
Where to store data: difference between database and data warehouse

Where to store data: difference between database and data warehouse

by Nikolai Pavlov | Nov 28, 2022 | Articles

In the previous article, we talked about the differences between ETL and ELT, the wo data integration methods. Both of these methods do the same thing – they transfer data from one place to another. Now, let’s talk about a database and data warehouse, two different...
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