Systems | Development | Analytics | API | Testing

The Future of the Modern Data Stack

The Modern Data Stack is quickly picking up steam in tech circles as the go-to cloud data architecture, and although its popularity has been quickly rising, it can be ambiguously defined at times. In this blog post we’ll discuss what it is, how it came to be, and where we see it going in the future. Regardless of whether you’re new to the modern data stack or have been an early adopter, there should be something of interest for everyone.

When to Use Change Data Capture

Automated ETL (extract, transform, load) and data integration workflows are essential for the modern data-driven organization, and they can swiftly and efficiently migrate data from sources to a target data warehouse or data lake. But ETL must run at regular intervals — or even in real-time — so how can you know which information is fresh and which information you’ve already ingested? Solving this problem is the goal of change data capture (CDC) techniques.

Why CFOs Should Champion the Consumption Business Model

Traditionally, CFOs focus on cost and cost control when managing the financial actions of a company. “Value” is assessed by putting a quantifiable number behind everything. It’s time to shift that mindset and take into account a different kind of value—the kind you can derive from an investment. Rather than worrying solely about the bottom line, ask the question: If you spend more today, what will you end up creating tomorrow?

[MLOps] The Clear SHOW - S02E11 - DIY Strikes Back! Building the Model Store!

Ariel extends ClearML's "experiment first" approach towards a "model first" approach - by building a model store. See how easy it is to add metadata to the model artifacts. + Colab notebook (uses the demo server, just run it and see what happens) ClearML is the only open-source tool to manage all your MLOps in a unified and robust platform providing collaborative experiment management, powerful orchestration, easy-to-build data stores, and one-click model deployment.

EDI Integration & Why It's Important to Your Business

In the age of digital transformation, EDI (Electronic Data Exchange) technology is used to create new business information flows that never existed on paper. As the technology grows, companies need to incorporate more than traditional EDI standards. There are country-specific laws (HIPAA, GDPR, etc.), data collection and protection guidelines, privacy laws, business intelligence guides, and more.