According to a study by Statista, the cloud storage market was valued at $90.17 billion in 2022 and will reach a value of $472.47 billion by 2030. These figures indicate a growing shift toward cloud computing and data storage solutions. A typical scenario in modern data management involves data transfer from cloud storage to cloud-based computing platforms. Amazon’s Simple Storage Service (S3) is among the go-to options for the former, and businesses trust Snowflake for the latter.

Managed File Transfer (MFT) stands as a cornerstone in the secure and efficient exchange of data across organizations, modernizing traditional methods and ensuring compliance with global data protection standards. Here are the five key takeaways from our What is MFT article.

In this article, we present some best practices and key concepts for using Confluent Schema Registry.

According to Gartner’s Top Priorities for Customer Service Leaders -2024 – Three priority areas are Self Service, Gen AI, and Customer Journey Analytics. When delved into the primary concern, it became apparent that many customers abandon product or service issues rather than seek agent assistance if online solutions are unavailable. Additionally, a notable proportion of Millennials and Gen Z adhere to a “self-service or no service” mindset.

Last year was significant for us, so let's reflect briefly. As one of the key milestones, we released Xray Enterprise - a comprehensive solution for test management challenges, blending powerful features with user-friendly functionality. It is especially beneficial for larger companies with high scale and complexity of the development operations. Here are other noteworthy numbers/metrics.

Considering BigQuery vs. Redshift for your data warehousing needs? This guide is for you. Both BigQuery and Redshift stand as leading cloud data warehouse solutions each offering a multitude of features catering to multiple use cases. Google’s BigQuery offers seamless scalability and performance within its cloud platform, while Amazon’s Redshift provides great parallel processing and tuning options.

Intelligent automation happens when robotic process automation (RPA) meets artificial intelligence (AI), bringing simple actions and cognitive tasks together for lightning-fast processing. Intelligent automation in insurance is a powerful tool that reduces both human error and the need to perform repetitive tasks manually. Imagine AI extracting data from an invoice then a bot entering that data into a software program.

Having frequently worked with governments around the world over the course of my career, I’ve had all kinds of discussions about the global impact of generative AI. Today, I’m publicly wading into those waters to deliver my perspective, and my opinion is that … it’s incredibly hard to predict the future. Done. Wrapped up this entire post in a single sentence.

Business process management solutions often tout their analysis and optimization capabilities, but few provide the full set of tools needed to build a process, measure its performance, and identify and implement improvements. And when you’re looking for information on how to optimize a process, it’s easy to quickly get lost in the information-overload about the best methodologies and tools. That’s likely because the answer to process improvement isn’t straightforward.

Introducing new BigQuery SQL features for performing two of the most common time-series operations: windowing and gap filling.