Archive for the ‘hadoop’ Category

Hive @Facebook

Hive is a data warehouse infrastructure built over Hadoop. It provides tools to enable easy data ETL, a mechanism to put structures on the data, and the capability to querying and analysis of large data sets stored in Hadoop files. Hive defines a simple SQL-like query language, called QL, that enables users familiar with SQL [...]

Read the rest of this entry »

Scalable products: KFS released

Kosmix, a search startup has released source to C++ implementation of something which looks like a clustered file system. This looks very similar to Hadoop/HDFS, but the C++ factor will be a big performance boost.
From Skrenta blog

Incremental scalability – New chunkserver nodes can be added as storage needs increase; the system automatically adapts to the [...]

Read the rest of this entry »

Hadoop and HBase

This may not be a surprise for a lot of people but it was for me. Even though I have been using lucene and nutch for some time, I didn’t really know enough about Hadoop and HBase until recently.
Hadoop

Scalable: Hadoop can reliably store and process petabytes.
Economical: It distributes the data and processing across clusters [...]

Read the rest of this entry »