Why Data Lakes?

James Serra explains why you might want to use a data lake:

To refresh, a data lake is a landing zone, usually in Hadoop, for disparate sources of data in their native format.  Data is not structured or governed on its way into the data lake.  This eliminates the upfront costs of data ingestion, especially transformation.  Once data is in the lake, the data is available to everyone.  You don’t need a priority understanding of how data is related when it is ingested, rather, it relies on the end-user to define those relationships as they consume it.  Data governorship happens on the way out instead of on the way in.  This makes a data lake very efficient in processing huge volumes of data.  Another benefit is the data lake allows for data exploration and discovery, to find out if data is useful or to create a one-time report.

I’m still working on a “data swamp” metaphor, in which people toss their used mattresses and we expect to get something valuable if only we dredge a little more.  Nevertheless, read James’s article; data lakes are going to move from novel to normal over the next few years.

Related Posts

Azure Without ARM

Ed Elliott gives us a few ways of deploying Azure resources without using ARM templates: So, what are our options? Create/Edit/Delete ourselves using Powershell/.Net/Python/Go/Java/Some Other SDK Process something else (YAML?) into JSON Generate the ARM using c#/Powershell/something else 3rd party tools, (Terraform is the big daddy) / others include Sparkle Formation To be honest, I’d […]

Read More

HDP 3.0 Released

Roni Fontaine and Saumitra Buragohain announce Hortonworks Data Platform version 3.0: Other additional capabilities include: Scalability and availability with NameNode federation, allowing customers to scale to thousands of nodes and a billion files. Higher availability with multiple name nodes and standby capabilities allow for the undisrupted, continuous cluster operations if a namenode goes down. Lower […]

Read More

Categories

December 2015
MTWTFSS
« Nov Jan »
 123456
78910111213
14151617181920
21222324252627
28293031