Pool Water Fill
Start of something: internships can give both students and employers an edge – freshwatercleveland
Freshwaterclevelandstart of something: internships can give both students and employers an edgefreshwaterclevelandA series of Cleveland-centric events fill students' off time, Koehler notes. … According to the NOCHE-published study, businesses use interns to assist with projects, gain exposure at colleges and universities and create a rich, sustainable talent …and more »
Data Lake and Data Refinery – Gartner Controversy! | @CloudExpo [#BigData] (linux.sys-con)
The concept of a ‘data lake’ was coined by James Dixon of Pentaho Corp. And this is what he said – If you think of a datamart as a store of bottled water – cleansed and packaged and structured for easy consumption – the data lake is a large body of water in a more natural state. The contents of the data lake stream in from a source to fill the lake, and various users of the lake can come to examine, dive in, or take samples. Think of a data lake as an unstructured data warehouse, a place where you pull in all of your different sources into one large “pool” of data. In contrast to a data mart, a data lake won’t “wash” the data or try to structure it or limit the use cases. Sure, you should have some use cases in mind, but the architecture of a data lake is simple: a Hadoop File System (HDFS) with lots of directories and files on it.