Read more about author Wayne Yaddow. Today’s data pipelines use transformations to convert raw data into meaningful insights. Yet, ensuring the accuracy and reliability of these transformations is no small feat – tools and methods to test the variety of data and transformation can be daunting.  Transformations generally involve changing raw data that has been cleansed and validated for use by individuals or systems. Data transformations are essential for data management, integration,…

Read more about author Oleksandr Sanin. In today’s virtual-first economic system, companies are under relentless strain to ensure their products deliver the most effective overall performance with minimal downtime. Whether it’s SaaS software serving thousands of customers globally, or a complex company platform assisting vital commercial enterprise functions, the call for reliability and efficiency is higher than ever. As IT infrastructures continue to grow in complexity, conventional strategies for dealing…

Read more about co-authors Gagan Tandon and Jill Stover Heinze. When generative AI (GenAI) broke onto the scene in late 2022, a floodgate of market opportunity and innovation was unleashed with it. In recent months, we’ve seen substantial technical and affordability progress by many measures: AI now beats out human performance on many benchmarks of simple tasks, OpenAI’s release of its high-performing GPT-4o “mini” small AI model is 60% cheaper than its predecessor, Meta’s…

Read more about author Anastasios Arampatzis. Cloud security posture management (CSPM) and data security posture management (DSPM) are two approaches to securing cloud environments, each with its own capabilities and techniques. Many organizations may benefit most from a combination of the two, based on their particular needs. Before deciding on an approach, researching vendors, and investing in a solution, it is important to understand the differences between DSPM and CSPM.…