An effective data governance strategy is crucial to manage and oversee data effectively, especially as data becomes more critical and technologies evolve. This strategic approach to data governance aligns with findings from a McKinsey survey, suggesting that companies with solid data governance strategies are twice as likely to prioritize important data — leading to better decision-making and organizational success.

"Will my website meet its goals? Can it truly succeed given the competition we have today?" Many website owners and designers think about this. Statistics reveal a stark reality: 90% of websites fail online. This fact highlights the importance of creating websites that serve their target audiences effectively, which requires a deep understanding of user needs and preferences. Feedback acts as a critical bridge between website creators and their audience.

New BigQuery functions monitor skew between training and serving data, and monitor drift in serving data over time, all using SQL.

In this edition of our series dedicated to spotlighting the movers and shakers in the tech world, we're thrilled to welcome Michael Muinos, an experienced Software Engineer currently residing at Google who is also the founder of Algos With Michael. Through this conversation, we aim to dive deep into the experiences that have defined Michael's career, alongside exploring the challenges and triumphs encountered, we will also share advice for aspiring software engineering professionals in this piece.

Hey there! We're back for our second edition of Tips and Tricks. As we said in our first post on Drizzle ORM, our new Tips and Tricks mini blog series is going to share some helpful insights and cool tech that we've stumbled upon while working on technical stuff. Today, we're going to talk about the template databases of PostgreSQL. Remember, these posts will be super short reads. If you don’t like the topic of one of the posts, no problem! Just skip it and check out the next one.

The breadth of SAP data enables enterprises to gain a complete picture of their operations and transactions but only when it is unlocked.

Test data is a critical component of software testing, referring to the input values, files, or other resources used to exercise a software application or system during testing. In other words, test data is the fuel that powers software testing, enabling teams to validate the functionality, performance, and security of a software product.

As Kafka evolves in your business, adopting best practices becomes a must. The GitOps methodology makes sure deployments match intended outcomes, anchored by a single source of truth. When integrating Apache Kafka with GitOps, many will think of Strimzi. Strimzi uses the Operator pattern for synchronization. This approach, whilst effective, primarily caters to Kubernetes-based Kafka resources (e.g. Topics). But this isn’t ideal.

Figuring out what APIs are doing in Kubernetes can be difficult. Read the pros and cons of WireShark, Kubeshark and Speedscale and when to use which.

Data analytics is nothing new. For decades, businesses have been deploying a "stack" of data analytics tools to collect, transform, evaluate and report on data. However, as data has grown larger in volume, and as the ability to analyze data quickly and accurately has become ever-more important to business success, the data analytics stacks that businesses depend on have evolved significantly. So, if you haven't taken a look at data analytics stacks recently, they're worth revisiting.