Fivetran pipelines reliably load your data to your chosen destination, but then what? Without joining, filtering, and aggregating your data, your business can’t produce data models to answer critical business decisions. This is why data transformations are essential to every business looking to maximize value from the data they collect from disparate sources.
A French startup is leveraging its modern data stack to overturn a longstanding business model.
You no longer need to coordinate with your administrator and manually translate formulas from Salesforce SQL to Standard SQL.
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?
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.
