Merv Adrian

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Entries Tagged as 'data warehouse'


2013 Data Resolution: Avoid Architectural Cul-de-Sacs

by Merv Adrian  |  December 27, 2012  |  6 Comments

I had an inquiry today from a client using packaged software for a business system that is built on a proprietary, non-relational datastore (in this case an object-oriented DBMS.) They have an older version of the product – having “failed” with a recent upgrade attempt. The client contacted me to ask about ways to integrate this [...]

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Category: data integration data warehouse DBMS     Tags: , , ,

Amazon Redshift Disrupts DW Economics – But Nothing Comes Without Costs

by Merv Adrian  |  December 8, 2012  |  7 Comments

At its first re:Invent conference in Late November, Amazon announced Redshift, a new managed service for data warehousing. Amazon also offered details and customer examples that made AWS’  steady inroads toward enterprise, mainstream application acceptance very visible. Redshift is made available via MPP nodes of 2TB (XL) or 16TB (8XL), running the Paraccel PADB high-performance columnar, compressed [...]

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Category: Amazon Big Data data warehouse data warehouse appliance DBMS Hadoop MapReduce     Tags: , , , , , ,

Guest Post: Leading the Logical Data Warehouse Charge Has its Challenges

by Merv Adrian  |  February 24, 2012  |  1 Comment

From my colleague Mark Beyer, who speculates about how leadership in moving toward the logical data warehouse (LDW) will be received:  The logical data warehouse is already creating a stir in the traditional data warehouse market space. Less than 5% of clients with implemented warehouses that we speak with are pursuing three or more of the [...]

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Category: data warehouse     Tags:

Mark Beyer, Father of the Logical Data Warehouse, Guest Post

by Merv Adrian  |  November 3, 2011  |  6 Comments

Another guest post, this time from my colleague and friend Mark Beyer. My name is Mark Beyer, and I am the “father of the logical data warehouse”. So, what does that mean? First,  if like any father, you are not willing to address your ancestry with full candor you will lose your place in the universe and [...]

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Category: Big Data data warehouse DBMS     Tags: