Unity Catalog is a unified governance solution for data and AI assets on the Lakehouse. It provides centralized access control, auditing, lineage, and data discovery capabilities across Azure Databricks workspaces. Using different features in Unity Catalog can help organizations streamline their operations and achieve greater efficiency.
The pandemic has brought many changes to how and where we work. The Blueprint Localization Team is one of many that has permanently switched to working from home.
In 2022, federal privacy legislation in the U.S. did not pass, resulting in a complex privacy landscape in 2023. Blueprint’s privacy program assessments offer a roadmap for success in navigating evolving regulations.
The world of generative AI continues to evolve, becoming ever more accessible for people from areas of an organization. The latest milestone in this journey is the English SDK for Apache Spark, also known as PySpark-AI, that Databricks announced at the 2023 Data + AI Summit.
Most companies today would cite their data as one of their most important assets — and personal data (or personal information) as its foremost asset as companies gain greater abilities to leverage it to understand consumers, create efficiencies and drive revenue.
Enter Databricks Unity Catalog—the industry’s sole unified solution for data and AI governance across a multitude of cloud environments and data platforms.
One of Delta Lake’s significant strengths is its simplicity. It seamlessly integrates your ETL processes, data warehousing, and machine learning tasks within your Lakehouse, simplifying operations and enhancing efficiency.
In 2022, federal privacy legislation in the U.S. did not pass, resulting in a complex privacy landscape in 2023. Blueprint’s privacy program assessments offer a roadmap for success in navigating evolving regulations.
Data democratization necessitates changes in organization, governance, attitude, and platform that markedly enhance a company’s access to and utilization of data.
Many organizations have turned to Databricks and Snowflake, while both platforms have their strengths, we believe that using Databricks for data engineering and data warehousing offers several key advantages over Snowflake.
Databricks’ ability to process, store, clean, share, analyze, model, and monetize datasets provides myriad benefits for businesses. A lesser discussed benefit is how its structure and capabilities innately support companies’ data protection and privacy obligations.
The cybersecurity world is moving towards a zero trust philosophy, maintaining vigilance through continuous questioning and validation. Why aren’t we doing the same with cloud migrations?
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