NoSQL Benchmarks NoSQL use cases NoSQL Videos NoSQL Hybrid Solutions NoSQL Presentations Big Data Hadoop MapReduce Pig Hive Flume Oozie Sqoop HDFS ZooKeeper Cascading Cascalog BigTable Cassandra HBase Hypertable Couchbase CouchDB MongoDB OrientDB RavenDB Jackrabbit Terrastore Amazon DynamoDB Redis Riak Project Voldemort Tokyo Cabinet Kyoto Cabinet memcached Amazon SimpleDB Datomic MemcacheDB M/DB GT.M Amazon Dynamo Dynomite Mnesia Yahoo! PNUTS/Sherpa Neo4j InfoGrid Sones GraphDB InfiniteGraph AllegroGraph MarkLogic Clustrix CouchDB Case Studies MongoDB Case Studies NoSQL at Adobe NoSQL at Facebook NoSQL at Twitter



Common and Recommended Approaches to Cope With Big Data Explosion

Jorge Lopez:

Since data warehouses are no longer economically or physically capable of managing big data within today’s commercial databases, new technology frameworks like Hadoop are emerging to track and manage these unprecedented volumes of data. Therefore, when devising a big data strategy, companies need to account for not only enterprise data, but also new sources of data, and then determine the best way to integrate the two for timely, accurate access to information as a basis for making business decisions.

Whether leveraging a data warehouse or Hadoop environment to manage big data, an important first step is to look at the effectiveness of the data integration function.

This translates to:

  1. don’t be stubborn about what data should be collected
  2. don’t be stubborn about the technologies used to collect, store, and analyze data
  3. always look for ways to integrate all your data
  4. choose technologies that have been built with integration in mind. No silos anymore.

Original title and link: Common and Recommended Approaches to Cope With Big Data Explosion (NoSQL database©myNoSQL)