Whether it’s the groceries you need from the store, the chores your mom left on the kitchen counter for when you got home from class, or even things to do before you die, lists are everywhere. Presenting data in a column (or a list) is the most familiar and natural way to organize information in both the analogue and digital worlds.

In the field of cybersecurity, it's important to have a thorough awareness of potential attack surfaces and vulnerabilities in order to stay one step ahead of bad actors. A survey from the Ponemon Institute states that, on average, data breaches cost an astounding $4.45 million worldwide in 2023.

There is an increasing demand for openness and accountability in Artificial Intelligence (AI) decision-making processes. Explainable Artificial Intelligence (XAI) is a developing idea as organizations attempt to comprehend and trust AI’s suggestions and insights. Gartner expects that explainable AI will reach the pinnacle of expectations. Over the next fifteen years, XAI will enter the decisive stages of development.

As the cybersecurity threat landscape continues to evolve globally, organizations operating in the financial sector are seeing regulations shift to address the associated risks, and none may prove more impactful than the European Union’s (EU) Digital Operational Resilience Act (DORA). This regulation aims to strengthen the operational resilience of financial entities (FEs), and their third-party information and communication technology (ICT) providers.

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

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.

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.