Systems | Development | Analytics | API | Testing

To be effective, solo data analysts or engineers need to focus on refining algorithms and analyzing data, not building data pipelines.

The significance of embedded iPaaS has significantly risen in the past months. This can be easily seen by reviewing the search volume for the keyword “embedded iPaaS” – if in October 2019, for example, there were only a handful of queries for this term, by the first quarter of 2022, the search volume has increased by 1500%. Yes, you’re reading it right, this is not a typo – by one thousand five hundred percent.

Is it possible to create an event-based architecture on top of the existing API ecosystem? We are all creatures of convenience.

Your company needs data replication for analytics, better performance and disaster recovery.

Don’t take our word for it – hear what our customers have to say.

How policies, processes, roles and technology come together to ensure data integrity, data quality and access control.

The phrase “We are only as strong as we are united, as weak as we are divided”, though coming from the fictional Albus Dumbldore character in the Harry Potter saga, can also perfectly illustrate the importance of ERP integration to companies. An ERP system is often considered to be the backbone of an enterprise whether it is an eCommerce, supply chain, manufacturing or healthcare business.

When I was working at Google back in the mid 2000’s, we dealt with tens of billions of ad impressions a day, trained several machine learning models on years worth of historic data, and used frequently-updated models in ranking ads. The whole system was an amazing feat of engineering and there was no system out there that was even close to handling this much data. It took us years and hundreds of engineers to make this happen, today, the same scale can be achieved in any enterprise.