I have seen a number of articles asking the question of whether Apache Spark will replace Hadoop. This is the wrong question! It is like asking if your your DVD player will replace your entire home theater system, which is pretty absurd. Just like a home theatre system has many components, a TV or Projector, a Receiver, […]
Posts Tagged ‘Enterprise data architecture’
The Modern Data Warehouse Will Augment Hadoop
The data warehouse has been a part of the EIM vernacular for nearly 20 years. The vision of the single source of the truth and a single repository for reporting and analysis are two objectives that have resulted in a never-ending journey. The data warehouse never has had enough data and the quality required for […]
Realizing Agile Data Management …
Years of work went into building the elusive single version of truth. Despite all the attempts from IT and business, Excel reporting and Access databases were impossible to eliminate. Excel is the number one BI tool in the industry and for the following good reasons : accessibility to the tool, speed and familiarity. Almost all […]
Data Staging and Hadoop
Traditionally, in our information architectures we have a number of staging or intermediate data storage areas / systems. These have taken different forms over the years, publish directories on source systems, staging areas in data warehouses, data vaults, or most commonly, data file hubs. In general, these data file staging solutions have suffered from two […]