Finance leaders are facing the most turbulent trading conditions for more than a generation. The odds of recession are rising, US inflation has hit a 40-year peak, the “Great Resignation” has denied organisations the people they urgently need to go to market, stock markets have slumped, exchange rates are beyond volatile and, although abating, there is still the threat of a fresh round of Covid. Forecasting business performance has never been so challenging.

This is a guest post by Bill Inmon, an American computer scientist. Many industry leaders recognize him as the father of the data warehouse. Inmon authored the first book, held the first conference, and wrote the first magazine column on data warehousing. He currently focuses on developing the revolutionary technology known as textual ETL.

In Loadero we always look for ways to improve our product and make it more robust, secure, and maintainable. As we add more features to our product, the complexity of our code base increases and it makes it more difficult to add or refactor the code without introducing regressions of the functionality. Since our frontend was written in plain Javascript and React, there was no way to ensure type safety of passed data between components and functions.

Every company wants to deliver the best product to its customers, and this theme is woven into the product development process at all successful companies. Product development in the SaaS domain comes with a unique set of software developer problems. Software developer problems can range from poorly defined customer expectations to a greater need for complexity and rapid technological advancement. These problems are all part of software development being a highly dynamic and complex process.

Pub/Sub’s ingestion of data into BigQuery can be critical to making your latest business data immediately available for analysis. Until today, you had to create intermediate Dataflow jobs before your data could be ingested into BigQuery with the proper schema. While Dataflow pipelines (including ones built with Dataflow Templates) get the job done well, sometimes they can be more than what is needed for use cases that simply require raw data with no transformation to be exported to BigQuery.

Developers are talking about Google’s latest creation: Carbon, a supposed wunderkind programming language that will save the technoverse from C++ and serve as its successor or replacement. Just like a rehashed Hollywood blockbuster about a supposed messiah, we’ve heard this story before. The 2000s saw more than one language try to fix C++’s minuses. The two big ones were Rust (backed by Mozilla) and Go (a.k.a. Golang, initiated by Google).

Businesses aiming to deliver superior digital experiences, retain customers and innovate rapidly must seek ways to get value from data faster, and this is where real-time data warehousing helps.

Looking for the best dashboard apps to use for your business? We reached out to 38 companies and they had 13 top software choices to share.

In this article, you’ll be introduced to two different load testing tools that are both able to work with Kubernetes; Speedscale and K6. Throughout this post you’ll be given a comparative view of how each tool performs in five different categories: Ease of setup, developer experience, working with the CLI, creating tests, and integration into CI/CD pipelines.

Are you using any software that is related to an individual’s information? Anything that deals with patient data? Any applications or tools that deal with the data of a person or a group of people? If your answer is yes, then this question is for you. How compliant is your company’s software with HIPAA while dealing with all those details?