Klout: All content tagged as Klout in NoSQL databases and polyglot persistence
Monday, 21 January 2013
11 Interesting Releases From the First Weeks of January
The list of releases I wanted to post about has been growing fast these last couple of weeks, so instead of waiting leaving it to Here it is (in no particular order1):
- (Jan.2nd) Cassandra 1.2 — announcement on DataStax’s blog. I’m currently learning and working on a post looking at what’s new in Cassandra 1.2.
- (Jan.10th) Apache Pig 0.10.1 — Hortonworks wrote about it
- (Jan.10th) DataStax Community Edition 1.2 and OpsCenter 2.1.3 — DataStax announcement
- (Jan.10th) CouchDB 1.0.4, 1.1.2, and 1.2.1 — releases fixing some security vulnerabilities
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(Jan.11th) MongoDB 2.3.2 unstable — announcement. This dev release includes support for full text indexing. For more details you can check:
- MongoDB Full Text Search Explained and MongoDB Text Search Tutorial
- Full text search in MongoDB: details about supported languages and queries
- Indexing a Markdown blog using MongoDB full text indexing
- Short demo of MongoDB text search and hashed shard keys
- (Jan.12th) Apache HBase 0.94.4 — announcement and release notes
- (Jan.14th) Apache Hive 0.10.0: Hortonworks’s post about it
- (Jan.15th) Hortonworks Data Platform 1.2 featuring Apache Amabari — official PR announcement
- (Jan.16th) Redis 2.6.9 — release notes
- (Jan.16th) HyperDex 1.0RC1 — no docs
- (Jan.16th) Klout’s Brickhouse — announcement:
[…] an open source project extending Hadoop and Hive with a collection of useful user-defined-functions. Its aim is to make the Hive Big Data developer more productive, and to enable scalable and robust dataflows.
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I’ve tried to order it chronologically, but most probably I’ve failed. ↩
Original title and link: 11 Interesting Releases From the First Weeks of January (©myNoSQL)
Tuesday, 17 July 2012
Klout Data Architecture: MySQL, HBase, Hive, Pig, Elastic Search, MongoDB, SSAS
Just found slideck (embedded below) describing the data workflow at Klout. Their architecture includes many interesting pieces combining both NoSQL and relational databases with Hadoop and Hive and Pig and traditional BI. Even Excel gets a mention in the slides:
- Pig and Hive
- HBase
- Elastic Search
- MongoDB
- MySQL
