How to build a cost-effective and robust streaming data pipeline
Envision a situation where you're tasked with managing clickstream data received via Snowplow. In this blog post, we'll guide you through our solution, step by step.
From data to impact
Business Analytics projects can be perceived as extensive, involving many people and requiring long development cycles. There is another way. With a Modern Data Platform it’s possible to accelerate your time to impact, perform several tryouts with low effort and expand gradually what works.
Turn your data into an asset
Your data is an opportunity to get a competitive edge, to mitigate risks and to grow your business in a sustainable way by making the right decisions. But too often data remains unavailable, unknown or not combined and opportunities are missed. Are you seeing the untapped potential? Are you looking for the next step to take?
Don’t forget to also start treating your data as an asset! Check out our view on Data Governance
From understanding the power of data for our organisation to realizing an impact with concrete dashboards and analysis, Datashift helped us from the start in our data journey. I especially appreciate their pragmatic, flexible and transparent way of working.
Ken Rottiers,
Digital Project Manager, Messer Western Europe
" 'Business Intelligence is dead', I hear from hype-seekers and buzzword-talkers. Far from, Business Intelligence is a true basis for data-driven working. Powered up to Business Analytics and a Modern Data Platform it enables you to handle high volumes of data, accelerate your consumption of data and becoming data-driven throughout your organization."
Want to get trained in Business Analytics? Follow The Link!
Microsoft Fabric: The Game-Changer in Data Analytics?
Microsoft introduced Fabric this week. Possibly and probably the game-changing solution that can transform data analytics and integration. We dived into what Microsoft has unveiled with Microsoft Fabric and how this can impact Data Engineers, Analysts and Scientists. But we also have some open questions that we will answer once we are finished testing this exciting technology.
Why software engineering best practices matter so much in data projects
With the rise of modern data platforms and cloud-based solutions, BI has become just one part of a much larger data ecosystem. This evolution has presented data teams with a host of new challenges, primarily in terms of the skills and expertise to create and manage data products that meet the needs of data consumers.
Why lift-and-shift isn’t copy-and-paste
Lift-and-shift is potentially a very efficient method to move your applications to the cloud. You need to be aware, though, of the implications of the pay-as-you-go pricing model that comes with a cloud deployment. Check out our 3 tips to ensure lift-and-shift delivers the most cost-effective solution.