
Big Data
Big Data85% of big data projects fail, but your developers can help yours succeed
Big data has been a big disappointment, but there's a way to ensure yours won't be.
Matt Asay is a veteran technology columnist who has written for CNET, ReadWrite, and other tech media. Asay has also held a variety of executive roles with leading mobile and big data software companies.
Big data has been a big disappointment, but there's a way to ensure yours won't be.
Despite Black Duck's attempts to hype the AGPL, there are very good reasons to believe it's not the ideal open source license.
New startup Dremio just emerged from stealth and aims to democratize data for BI professionals in the same way that AWS opened up infrastructure for developers.
RethinkDB hit the skids, but not because MongoDB. Instead, the cloud is to blame.
Even though MongoDB and Cassandra keep winning converts, enterprises are keeping their RDBMSes around, and will do so for quite some time.
If you want to scale like Apple, you might need to consider Cassandra. Matt Asay explains.
While Amazon Web Services (AWS) may reject the private cloud, Eucalyptus' success may give it a way to have its public cloud cake and eat the private cloud too.