Click to learn more about author Mark Marinelli. We’ve explored the benefits of an agile data mastering approach in a previous post, but let’s do a quick recap: Many businesses that collect a large amount of data have an accumulating data mastering issue that leaves their data largely untouchable and riddled with inaccuracies. The problem […]
Data Strategy Not Working? Grab a Cloud or Two or Three
Click to learn more about author Ingo Fuchs. Cloud has become a critical element of today’s IT strategies. You may not want to, but you have to consider how to best take advantage of cloud. Is your organization focusing on an IT Agenda? Is it focusing on a Transformation Agenda? If you answered yes to […]
Predictions for Big Data Analytics in 2019
Click to learn more about author James Kobielus. Big Data Analytics has been one of the dominant tech trends of this decade, and it’s also been one of the most dynamic and innovative segments of the IT market. Today’s Big Data Analytics market is quite different from the industry of even a few years ago, and […]
Data Virtualization Defined: How it Helps Organizations Succeed
Data Virtualization (DV) is unlike traditional Data Integration, where change must be made on multiple layers; Data Virtualization makes change easy for the business as new requirements and sources can be integrated and changed rapidly. The Data Management Association International (DAMA) Data Management Book of Knowledge (DMBOK), second edition, describes Data Virtualization as: “Data Virtualization […]
Data Wrangling is a Problem
Click to learn more about author Pete Aven. Data Wrangling is bad. Yet we all do it, every single day. In a nutshell, Data Wrangling , also known by the more technical term of “data munging,” is the process or transforming data from one shape into another to prepare it for analysis and deliver some unified […]
Five Ways Data Engineers Are Leveraging Self-Service Data Prep Solutions
Click to learn more about author Farnaz Erfan. With the growth of Big Data Analytics, data engineers are now gaining a lot of popularity. And, while the majority of them have coding and technical skills, ETL knowledge, or can program in MapReduce, many have found that applying a Self-service Data Prep solution can help them […]
Three Questions You Aren’t Asking That Will Make Your Data Strategy Hum
Click to learn more about author Joe deBuzna. In the world where IoT, AI, blockchain and Cloud-connected devices are redefining everything from energy and finance to supply chains and services, this is the new reality: Companies across all industries are becoming data companies. As a result, tools for managing data workloads, like modern Data Lakes, have […]
Cloud Platforms for Analytics: The House Brand Ain’t Always Enough – Conclusion
Click to learn more about author Andrew Brust. In the first part of this column we looked at industry trends that have contributed to the creation of market demand for Public Cloud solutions, what’s in the Cloud Analytics stack and Amazon integration pairs. If you missed it, check out part one first. A Difference of […]
Cloud Platforms for Analytics: The House Brand Ain’t Always Enough
Click to learn more about author Andrew Brust. Today’s leading Cloud Platforms include numerous components for storing, processing and analyzing large volumes of data. All the basics are there: storage, analysis and processing, streaming data processing, data pipelining, data warehousing, BI and even AI. But while it’s great to have all those raw components, how […]
Computational Social Science
Click to learn more about author Steve Miller. It seems I write something on the nature of Data Science every year. Early on, my take on DS was in motion, but now it’s much more grounded. My points of Data Science departure are the iconic “what is DS” pronouncements from Drew Conway and David Donoho. […]