[A version of this post appears on the O’Reilly Strata blog.] I’ve been noticing that many interesting big data systems are coming out of IT operations. These are systems that go beyond the standard “capture/measure, display charts, and send alerts”. IT operations has long been a source of many interesting big data1 problems and IContinue reading “Surfacing anomalies and patterns in Machine Data”
Tag Archives: in-memory
Tachyon: An open source, distributed, fault-tolerant, in-memory file system
[A version of this post appears on the O’Reilly Strata blog.] In earlier posts I’ve written about how Spark and Shark run much faster than Hadoop and Hive by1 caching data sets in-memory. But suppose one wants to share datasets across jobs/frameworks, while retaining speed gains garnered by being in-memory? An example would be performingContinue reading “Tachyon: An open source, distributed, fault-tolerant, in-memory file system”