We all know the problem – businesses today have more data than ever: the total volume of data generated by IoT will reach 600 ZB per year by 2020. Yet many struggle to understand how to leverage their data effectively and scale business value. As a leading data analytics visualization company, Tableau has been on... more
Gartner recently published its 2019 Metadata Management Magic Quadrant. This is the fourth year that Gartner has published this annual report and for the fourth year in a row, Informatica has been named a Leader.[1] Over the last few years, metadata management has rapidly evolved from being an arcane technical discipline to a critical business... more
“A good tool improves the way you work. A great tool improves the way you think” Jeff Duntemann In my previous blog, I described characteristics of various data processing pipelines regardless of use case, persona, context, or data size. To support these use cases or personas, the right design tools are essential to creating data... more
Getting from customer satisfaction to winning customers’ hearts and minds. Garbage in… garbage out. As 2020 approaches, the old adage has resurfaced, thanks in large part to four trends that are morphing from talking point into reality: Higher customer expectations Selecting experiences over price and product Explosion of data Increased use of machine learning and... more
Did you know that insurance companies charge you extra if you plan to drive on the roundabout at the Arc De Triomphe? Yes, traffic can become challenging around the arc. Whenever I’m in Paris, I make it a point to have my taxi driver circle the arc at least once. I enjoy watching the traffic... more
This is a blog about data. But I am going to start by talking about food. We are what we eat—or at least that’s what the purveyors of fine foods would have us believe. As consumers, how do we decide what’s good for us to eat? First, we scan the label to understand some key... more
Higher education is in the process of being disrupted. Colleges and universities, both private and public institutions, are facing a decline in student enrollment, revenue shortfalls, and decreases in State funding. At the same time, the business models and assumptions of how to operate and scale these schools for a modern student body are all being questioned.... more
Technology is constantly evolving to tackle existing and new business challenges, and one of the lowest-friction ways for an organization to test out whether a potential solution is the right fit is by trying the product before making an investment. With the announcement of a broad set of new trial versions of our enterprise next-gen... more
Defining APIs: Lightweight APIs and Data APIs In my previous post, I discussed the “API first” approach and API hub as essential ingredients for a successful data management strategy. As “API first” approach suggests that we define the API first, it makes us think about its purpose. This gives rise to some fundamental questions. What... more
This blog was co-authored by Nauman Fakhar, Director of ISV Solutions at Databricks. Apache Hadoop was born as an on-premises platform. Most of the use cases for early commercial Hadoop vendors focused on on-premises implementations of the open source data analytics platform. Eventually, Hadoop-as-a-Service—meaning Hadoop running in the cloud became increasingly popular. However, the Hadoop-as-a-Service... more