ALL COVERED TOPICS

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

NAVIGATE MAIN CATEGORIES

Close

BigData: 7 Key Insights

From the EMC Isilon blog:

  1. Data has penetrated every industry and business function

  2. Big data creates value in several ways

    • Create transparency and make data immediately available to stakeholders

    • Use data to set up experiments in performance variability and improve employee performance
    • Segment data and customize to specific markets • Replace and/or support human decision making with algorithms
    • Innovate new business models, products, services

  3. Use of Big Data will become key in competition and growth in new markets

  4. Use of Big Data will lead to better designed products, increase productivity and consumer surplus

  5. Not all sectors will can benefit from Big Data, and some face higher barriers in capturing value

  6. Lack of talent will be key constraint in realizing the value quickly and usefully. The following three types of talent will be in high demand:

    • Deep analytical skills to digest large amounts of information

    • Data-savvy managers able to interpret results and make business decisions
    • Supporting personnel to maintain hardware and software tools

  7. Several issues to be addressed before we can fully capture the value of Big Data

    • Data policies — retention, privacy, security

    • Technology and techniques — new hardware and software to store, compute, analyze, and regenerate in consumable format
    • Organizational change — most companies today don’t have the incentive infrastructure in place to optimize use of Big Data
    • Access to data — 3rd party data may not be available when needed and stakeholders may not be open to sharing
    • Industries structure — some industries have inherently higher barriers to overcome in fully realizing the value of Big Data

Here is a different perspective:

  • point 2 above lists the requirements of a BigData ready organization or system
  • points 6 and 7 represent business opportunities for companies and products trying to address the needs of the BigData market

Basically any company/product entering the BigData market would have to cover the requirements at point 2 above and provide solutions for at least one, but preferably more, of the points at 6) or 7).

Original title and link: BigData: 7 Key Insights (NoSQL databases © myNoSQL)

via: http://www.isilon.com/blog/big-win-big-data