StreamSets Data Integration Blog
Where change is welcome.
Where change is welcome.
Data analytics has rapidly evolved from advanced to transformative. Today, organizations have the potential to harness deep insights from their data assets to inform their decision-making and get ahead of the competition – but only if they have the right…
Enterprise reporting has become a whole lot more difficult in recent years. If you are involved in reporting on sustainability, financials, or compliance and risk management, you will undoubtedly have experienced this firsthand. The depth, breadth, complexity, and frequency of…
Most data collected from sources like database systems, websites, applications, and internal systems undergo either online transaction processing (OLTP) or online analytical processing (OLAP). These processing systems carry out different functions, with OLAP performing complex queries on aggregated, historical data,…
At last week's CDOIQ Symposium in Cambridge, MA, Tom Redman of Data Quality Solutions and Tom Davenport, who has a ubiquitous presence in the data field, jointly presented a session called “The Rise of Tweener Roles in Data Science.” The…
Machine learning has become an integral part of organizations looking to do everything from improve customer experience to make product recommendations to target advertisements. The machine learning (ML) pipeline defines the steps that help create the models used for ML…
In the business world today, a single customer may interact with businesses at various touchpoints. Their data may span multiple locations like hybrid cloud environments, databases, CRM systems, and web and mobile applications. Managing and accessing these data for business…
One can imagine the catastrophe of using inaccurate machine learning models in business – accidents, investment losses, and erroneous analysis. However, because the use cases for machine learning algorithms are numerous and can be positively and negatively impactful, a lot…