SAP systems have long been considered the “backbone” that supports business operations for enterprises of all types and sizes. Businesses rely on SAP end-to-end business solutions, in-memory databases, and data warehouses among other SAP technologies to enable a plethora of business functions. According to SAP, 77% of the world’s transaction revenue touches an SAP system.[1] ... more
In this data-first world, a company’s success depends on every team member using data to accelerate business decisions. Every enterprise has data, but their DataOps team needs to be empowered to collaborate to find actionable insights and solutions. Industry research suggests most data engineers spend 80% of their time cleansing, curating, and preparing their data... more
In December 2017, data catalogs officially became cool when Gartner published its report “Data Catalogs Are the New Black in Data Management and Analytics.”[1] Demand for data catalogs has been strong and lived up to the hype over the last couple of years. And over the last year, this demand has translated into an increasing... more
Enterprise data preparation is a team sport. Right? Any DataOps team – including data engineers, data scientists, and data analysts – will want to quickly discover, validate, share and collaborate on data including creating fully cleansed, transformed and governed data pipelines at scale. However, that is not the reality that most DataOps teams get to... 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