The home as office: Balancing health and work
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.
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U.S. State comprehensive privacy law update
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.
Getting started with the english SDK for Apache Spark
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.
Empowering data privacy efforts: Databricks and Blueprint
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.
Revolutionizing data governance with Databricks Unity Catalog
Enter Databricks Unity Catalog—the industry’s sole unified solution for data and AI governance across a multitude of cloud environments and data platforms.
Unifying table storage with Delta Lake’s new feature: UniForm – Part 1
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.
The growing web of U.S. privacy laws
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.
Navigating an ocean of data
Data democratization necessitates changes in organization, governance, attitude, and platform that markedly enhance a company’s access to and utilization of data.
How to optimize your Snowflake data warehouse workloads with a Databricks Lakehouse
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.
How Databricks enables records of processing activities
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.
A low trust approach to migrations
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?
The fast & furious: Lakehouse platform performance comparisons
Open-source Lakehouse platforms have emerged as a powerful catalyst for data-driven innovation, offering organizations a cost-effective, flexible, and scalable solution to manage and analyze diverse data.