Splunk: All content tagged as Splunk in NoSQL databases and polyglot persistence
Very informative post on Socialize blog about their data flow and the data analysis stack used to processing it. The post is missing the architecture diagram, so I took the time to reconstruct it based on the details in the article:
Click to view full size diagram of Socialize architecture
The traditional solution is to use aggregate functions in the RDBMS such as count() to get the aggregate results but this presents a few problems at a large scale:
- Aggregating rows in a database creates unneeded load on the server
- Data could be stored in multiple sharded databases and the aggregated results would be inaccurate.
- Data could be stored in other datastore like a NoSQL datastore or even flat log files.
- Data is stored in an uncommon format across many sources.
Original title and link: Polyglot Persistence Architecture at Socialize: Splunk for MapReduce & Big Data Analysis ( ©myNoSQL)
Splunk, the company which recently announced Shep a solution combining Splunk’s tool for collecting, monitoring, analyzing, searching, and reporting on massive streams of real-time and historical machine data with Hadoop, has filed for IPO.
Giving the following facts:
- you are in a market (Big Data, Web of Things) that is confirmed to see tremendous growth
- you have over 3300 customers,including a majority of the Fortune 100
- your revenues almost doubled year-over-year
the real question to be answered is why filing for IPO?
The very next question is who is going to be next rushing to capitalize on the growing trends of Big Data. Many names sprang to mind, but firstly what are your bets?
Original title and link: Splunk, the Search Engine for MacHine Data Company, Files for IPO. Why? ( ©myNoSQL)