hive: All content tagged as hive in NoSQL databases and polyglot persistence
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
(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.
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)
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
- Elastic Search
The post is a bit old, but the data contained comparing different compression methods is helpful:
Original title and link: Comparing File Formats and Compression Methods in HDFS and Hive ( ©myNoSQL)
Hortonworks has announced the 1.0 release of the Hortonworks Data Platform prior to the Hadoop Summit 2012 together with a lot of supporting quotes from companies like Attunity, Dataguise, Datameer, Karmasphere, Kognitio, MarkLogic, Microsoft, NetApp, StackIQ, Syncsort, Talend, 10gen, Teradata, and VMware.
Some info points:
Hortonworks Data Platform is a platform meant to simplify the installation, integration, management, and use of Apache Hadoop
- HDP 1.0 is based on Apache Hadoop 1.0
- Apache Ambari is used for installation and provisioning
- The same Apache Amabari is behind the Hortonworks Management Console
- For Data integration, HDP offers WebHDFS, HCatalog APIs, and Talend Open Studio
- Apache HCatalog is the solution offering metadata and table management
Hortonworks Data Platform is 100% open source—I really appreciate Hortonworks’s dedication to the Apache Hadoop project and open source community
- HDP comes with 3 levels of support subscriptions, pricing starting at $12500/year for a 10 nodes cluster
One of the most interesting aspects of the Hortonworks Data Platform release is that the high-availability (HA) option for HDP is based on using VMWare-powered virtual machines for the NameNode and JobTracker. My first thought about this approach is that it was chosen to strengthen a partnership with VMWare. On the other hand, Hadoop 2.0 contains already a new highly-available version of the NameNode (Cloudera Hadoop Distribution uses this solution) and VMWare has bigger plans for a virtualization-friendly Hadoop environment with project Serengeti.
Original title and link: Hortonworks Data Platform 1.0 ( ©myNoSQL)
The primary goal of Bigtop is to build a community around the packaging and interoperability testing of Hadoop-related projects. This includes testing at various levels (packaging, platform, runtime, upgrade, etc…) developed by a community with a focus on the system as a whole, rather than individual projects.
- Apache Hadoop 1.0.x
- Apache Zookeeper 3.4.3
- Apache HBase 0.92.0
- Apache Hive 0.8.1
- Apache Pig 0.9.2
- Apache Mahout 0.6.1
- Apache Oozie 3.1.3
- Apache Sqoop 1.4.1
- Apache Flume 1.0.0
- Apache Whirr 0.7.0
Apache Bigtop looks like the first step towards the Big Data LAMP-like platform analysts are calling for. Practically though it’s goal is to ensure that all the components of the wide Hadoop ecosystem remain interoperable.
Original title and link: Apache Bigtop: Apache Big Data Management Distribution Based on Apache Hadoop ( ©myNoSQL)
Just 19 slides, but Paul Lam manages to provide both a comparison of Cascalog and Hive, plus an overview of the most interesting bits of Cascalog.
Cascalog vs Hive
Cascalog Query Pipe Assembly
Highly recommended for understanding what’s in the Cascalog box.