Extend, visualize and share data online. Meet the combo powering Hadoop at Etsy, Airbnb and Climate Corp. — Data. SQLstream. Data Science Toolkit. Advanced Reporting & Analysis for Big Data. Cassandra vs MongoDB vs CouchDB vs Redis vs Riak vs HBase comparison.
(Yes it's a long title, since people kept asking me to write about this and that too :) I do when it has a point.)
While SQL databases are insanely useful tools, their monopoly in the last decades is coming to an end. And it's just time: I can't even count the things that were forced into relational databases, but never really fitted them. (That being said, relational databases will always be the best for the stuff that has relations.) But, the differences between NoSQL databases are much bigger than ever was between one SQL database and another. MongoDB. Welcome to Apache™ Hadoop™! Home - Apache Hive. The Apache HiveTM data warehouse software facilitates querying and managing large datasets residing in distributed storage.
Built on top of Apache HadoopTM, it provides Tools to enable easy data extract/transform/load (ETL)A mechanism to impose structure on a variety of data formatsAccess to files stored either directly in Apache HDFSTM or in other data storage systems such as Apache HBaseTM Query execution via MapReduce Hive defines a simple SQL-like query language, called QL, that enables users familiar with SQL to query the data.
At the same time, this language also allows programmers who are familiar with the MapReduce framework to be able to plug in their custom mappers and reducers to perform more sophisticated analysis that may not be supported by the built-in capabilities of the language. Hadoop Download. Maui-indexer - Maui - Multi-purpose automatic topic indexing. Summary Maui automatically identifies main topics in text documents.
Depending on the task, topics are tags, keywords, keyphrases, vocabulary terms, descriptors, index terms or titles of Wikipedia articles. I - RapidMiner. Using Revolution R Enterprise With Apache Hadoop for 'Big Analytics' Parallel Performance Without Parallel Complexity Big Data drives optimum value when it yields fast insights.
Adopting MPP data warehouses or Hadoop clusters alone to store Big Data isn’t enough. As data grows, so does complexity and computational workload analyzing Big Data. Big Data Analytics Cripples Legacy Tools. Chorus: Productivity engine for Data Science Teams.