Data Digest: Spark v. Hadoop, Cloud Security, and Big Data Frameworks Rundown
Comparing big data frameworks, plus how to secure your cloud computing environment.
- By Quint Turner
- March 14, 2016
Spark and Hadoop are the #1 and #2 in big data frameworks, which has prompted debates over which engine is better. This article adds its own two cents into the mix before discussing how the two are different enough that favoring one over the other might be shooting yourself in the foot.
Read More at www.dataversity.net
Shifting to the cloud will not leave your enterprise at the mercy of hackers, as some stories would have you believe, but the move still requires some shielding of the enterprise. This article addresses what areas cloud computing specifically needs in terms of security.
Read More at The Christian Science Monitor
There are other frameworks for processing big data other than Spark and Hadoop, of course. They just don't get nearly as much press. This article runs down its choice of the top 5 big data frameworks (unsurprisingly with Hadoop and Spark at #1 and #2) and reasons for choosing each.
Read More at Kdnuggets
Quint Turner is an editorial intern at TDWI and an undergraduate English student at Skidmore College. Follow his blog at pungry.com.