Hadoop and Managed Services: Big Data Deal or Big Hype?
Apache Hadoop, the open source data management platform, is starting to connect in the managed services provider (MSP) market. An example: MetaScale is building a Hadoop managed services business practice to help customers address Big Data issues. Should smaller MSPs follow MetaScale’s Hadoop lead?
MetaScale’s latest move involves a partnership with Cloudera, which provides Apache Hadoop-based data management software. According to MetaScale, the company’s Hadoop services include:
“building and configuring Hadoop clusters; operating, managing and monitoring the cluster; integrating with other data management technologies; running data-cleansing and other data management projects; writing and developing MapReduce applications; and custom solution design and system integration.”
Managed Database Services
MSPmentor has often suggested that MSPs should focus more on managed database services — where companies such as DSP Managed Services, NaviSite, Ntirety and Cloud Creek Systems come to mind.
But Hadoop seems to be a slightly different beast. Most massive technology companies — HP, IBM, Microsoft, Oracle and SAP, to name a few — have been unveiling Apache Hadoop strategies in recent months. And I suspect small business MSPs will need to give Hadoop a look as customers increasingly gather, manage and mine their data.
With those thoughts in mind, MSPs should keep a close eye on MetaScale and Cloudera.
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I believe that you’ve cuonfsed Hadoop with an ORM. Hadoop is a family of products based around the Hadoop Distributed File System (HDFS) and Hadoop MapReduce a job scheduling and execution framework.For CRUD procedure creation, you should look something like into Entity Framework, nHibernate, or LLBLGen. For load balancing SQL Server, you should probably talk to an architect or consultant.