Systems | Development | Analytics | API | Testing

Business intelligence (BI) is the ability to view and analyze data to provide actionable insights - but this ability wasn't always so available. The BI tools and platforms developed in the early days were very different to the modern analytics capabilities we have today In this article, we will discuss further about the history of business intelligence platforms. We will begin with the definition of business intelligence and its scope.

Ever wondered what our most-used components are? Here at Talend, one of my “Shadow IT” jobs is to report on component usage. If you've ever used Talend Studio (either the open source Talend Open Studio or the commercial version) you most likely already know and love the component tMap.

Data is the biggest asset for any business, and its advantages are many. Data can help enterprises better understand their customers, improve advertising campaigns and bottom lines, and personalize their content. However, you cannot access these benefits without proper embedded analytics and reporting tools that make data a true part of your day-to-day workflow. Because while raw data has a lot of potential, a business needs the right tools to access, manage, share and analyze it to great effect.

Data scientists and machine learning engineers in enterprise organizations need to fully understand their data in order to properly analyze it, build models, and power machine learning use cases across their business. Due to the lack of tooling specifically designed for data discovery, exploration, and preliminary analysis, this presents a significant challenge for these teams.

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. Over the last few years, we have had a front-row seat in our customers’ hybrid cloud journey as they expand their data estate across the edge, on-premise, and multiple cloud providers.