Nowadays, organizations can integrate all their business data and use it in new, innovative ways with only a fraction of the engineering resources ..read more

Power BI is a powerful visualization platform, but it still lacks the built-in integration of some important connectors, one of which is Stripe. This article continues our previous series on how easy it is to connect data sources to Power BI using Dataddo rather than directly.  ..read more

If you're a data professional, business owner, or business intelligence (BI) analyst, you know how crucial accurate data is for strategic decision-making. Data scientists spend about 60% of their time preparing the data for analysis while collecting datasets accounts for only 19% of their workload.  ..read more

We are thrilled to announce that Dataddo is now an AWS Differentiated Partner, the highest partner status attainable with Amazon Web Services (AWS ..read more

At the beginning of 2024, European authorities published the first set of technical standards to be implemented under the Digital Operational Resilience Act (DORA ..read more

PGQ excels at asynchronous task processing and offers deep observability. This makes it a key component of the Dataddo platform. Hi. We are Tomas and Tomas, CTO and Backend Team Lead at Dataddo, a company that provides a fully managed, end-to-end data integration platform. Clients in time zones across the globe use our platform, so, as you can imagine, we need to process loads of integration jobs at several peak periods throughout the day ..read more

Hi, I’m Petr, the CEO of Dataddo, a global data integration company. Every year, I share what I consider to be the most important big data trends for the year ahead, along with actionable takeaways. And every year, it gets harder to come up with a list that’s different from the previous years’ lists ..read more

How often do you take the time to fill out feedback forms or surveys about the products and services you use ..read more

In discussions about AI tools and workloads, the emphasis tends to be on optimizing machine learning models, rather than ensuring they are fed high-quality data. But, if garbage in means garbage out, then keeping data quality high is just as important as building and training the models ..read more

Going to a data tool vendor's website and figuring out what their unique selling points are—or sometimes what they even do—is often more of a challenge than it should be ..read more