What is a Modern BI Platform?
Click to learn more about video blogger Stefan Groschupf. Introducing the Big Data & Brews video blog series presented by Stefan Groschupf, CEO of Datameer. The series will touch on hot topics within the business of Machine Learning, Big Data, Analytics, Internet of Things, Cloud Computing, Modern BI, and Next Generation Technologies. In today’s video […]
Read More →Beware of Symmetric Relationships
Click to learn more about author Michael Blaha. A symmetric relationship is a self-relationship with the same multiplicity and role name on each end. Symmetric relationships are acceptable for conceptual models. But they are problematic for logical and physical models – you should rework the model to eliminate them. An Example For an example, consider […]
Read More →Adding Humans Back Into Your Big Data Insights
Click to learn more about author Ariel Amster. Most businesses have a goal to be a data-driven organization. It’s an admirable goal, one that can bring a notable amount of benefits and advantages for any company. In many cases, this emphasis on big data is all part of turning many business processes into automated processes. […]
Read More →IoT, Social, and Personal Data: Had Enough Internet Harassment Yet?
Click here to learn more about author Cathy Nolan. Fortune magazine recently ran an article titled “Bullies and Trolls” but they aren’t the first to write about how the web continues to be taken over by attention-mongers and hate groups. Time magazine also had an entire feature on the subject and it seems it isn’t […]
Read More →Trusting Election Results—It’s All About Data Quality, Part 2
Click here to learn more about author Danette McGilvray. If you’ve read my recent post about trusting election results (link to post) you’ve read my commentary regarding what I consider a data quality mishap during the US election of 2000. That exploration highlighted the necessity of high quality, trustworthy data to the election process. Following the […]
Read More →Instilling Industrial Discipline in Enterprise Analytics
Click here to learn more about author James Kobielus. We’re living in a supposedly post-industrial era. So it can feel a bit odd to refer to the need to bring “industrialization,” an “assembly line” approach, or “factory”-like processes to the development of business analytics. Behind any such discussion, the specter of automation usually lurks, as […]
Read More →Big Data as the Key: From Sophisticated Coding to Soaring Prose
Click here to learn more about author Dr. Rahul Razdan. There are two ways to become a better writer, requiring every would-be scribe to read (and read often and expansively) and write with the regularity necessary to tighten, intensify and beautify one’s prose. But Big Data now offers a third option to writing with the […]
Read More →Lowering the Barrier to Big Data Analytics
Click to learn more about video blogger Stefan Groschupf. Introducing the Big Data & Brews video blog series presented by Stefan Groschupf, CEO of Datameer. The series will touch on hot topics within the business of Machine Learning, Big Data, Analytics, Internet of Things, Cloud Computing, Modern BI, NoSQL and Next Generation Technologies. In today’s video […]
Read More →Information Governance in Principle or Practice?
Click to learn more about author Kimberly Nevala. At the recent Data Governance Information Quality conference I was privileged to present how Big Data, the rise of the informed digital consumer and so on are challenging existing Data Governance and management paradigms. This led to many interesting discussions regarding the efficacy and relevance of existing […]
Read More →Identifying and Deleting “Empty” Columns in R data.frames
Click here to learn more about Steve Miller. Toward the end of last month’s blog on SAS, R, Python, and WPS, I mentioned a current project challenge of identifying and eliminating “mostly” null columns from wide SAS data sets. As the team discovered, such columns can impose a significant drag on performance. My take is that while […]
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