Operational Database Management Systems
A Cheat Sheet: What Executives Want to Know about Big Data by Tamara Dull, Director of Emerging Technologies for SAS Best Practices This spring, I presented An Executive’s Cheat Sheet on Hadoop, the Enterprise Data...
Common misconceptions about SQL on Hadoop By Cynthia M. Saracco, Senior Solutions Architect, IBM Now that many Hadoop-based Big Data platforms offer SQL support, misconceptions about SQL on Hadoop seem to proliferating. In this...
The Data Lake: A Brief SWOT Analysis By Tamara Dull, Director of Emerging Technologies ▪ SAS Best Practices For the last few months, I have engaged in an online debate about the data lake...
Optimize your Data Warehouse with Tamr. By Ihab Ilyas, Professor, Cheriton School of Computer Science, University of Waterloo Context With the growing popularity of Hadoop several organizations have been creating Data Lakes, where they...
Database Q&A With MemSQL CEO, Eric Frenkiel We started MemSQL with a vision to enable every company to be a real-time enterprise, and to do that by delivering the leading real-time database for transactions...
Who Asked for an Open Data Platform? by Merv Adrian, Gartner Research Vice President Analyst and Nick Heudecker, Gartner Research Director| February 18, 2015 | It’s Strata week here in San Jose, and with that comes a flood...
Hadoop Adoption? Moving, But Not Necessarily Forward by Merv Adrian, Gartner Research Vice President Analyst | February 18, 2015 | Gartner’s quarterly Hadoop webinar in February 2015 showed that adoption of Hadoop is not rising quite as...
Archiving Everything with Hadoop By Mark Cusack, Chief Architect, RainStor. December 2014. Perhaps the most widespread use of Hadoop today is as an archive or ‘data lake.’ In this use-case, data from a whole...
Getting Up to Speed on Hadoop and Big Data By Cynthia M. Saracco, Senior Solution Architect, IBM Silicon Valley Lab It’s a question I’ve often heard during my 4 years of working on Big...
Positioning CortexDB in Hadoop Data Architectures Extending the Data Warehouse and beyond An analysis by the WOLFGANG MARTIN TEAM, October 2014. © 2014 S.A.R.L. Martin Contents 1. Management Summary . . . . ....