In this digital world, data governance is a critical tool for operating any data-driven organization. As data continues to be favored in business operations, data governance measures are required to keep all data secure, accurate, and updated. Therefore, to remain on top of the data governance game, the data engineering teams must understand the multiple options that will aid them in developing...

It must be noted that the existence of lakehouse architectures has brought some substantial changes in the data architecture landscape. In this evolution process, organizations are still struggling on how to handle complex and diverse data management, to which the answer is the lakehouse model. Lakehouses can be viewed as a better integration of data lakes and data warehouses to provide...

The significant pressures artificial intelligence (AI) has placed on data architectures to be more efficient has led to the rise of data lakehouse architectures, which decouple the storage and tracking of data from how it is accessed and processed. The essence of this approach lies in storing datasets within a data lake, utilizing open table formats such as Apache Iceberg, Delta Lake, or Apache...

In an era where data-driven decision-making is paramount, organizations are constantly searching for effective ways to harness the full potential of their data assets. Enter Unified Data Fabric (UDF)—an innovative and evolving approach that offers a consolidated view of data and its ecosystem. In this blog, we’ll explore what UDF is, its key benefits, and why it’s poised to...

In this digital world, data is an important asset; however, organizations are searching for storage solutions that will help them manage big data’s volume, latency, resiliency, and data access requirements. Traditionally, companies used existing tech stacks that delivered the same capabilities as a warehouse or lake but had adjustments in handling massive amounts of semi-structured data....