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Data warehouse project management News
August 30, 2016
Cloud data warehouse offerings from smaller vendors seek to address functionality gaps that bigger players may miss. Newcomer Snowflake Computing targets concurrent queries, for example.
August 26, 2014
What does open-source Hadoop really cost? A look at total cost of data over the full life cycle helps dispel uncertainties about the data framework and reveal the answer, an expert says.
July 29, 2014
At the TDWI Executive Summit in Boston, users talked about the benefits and challenges of incorporating Agile development methodologies into data warehouse and business intelligence projects.
July 15, 2014
Consultant Rick van der Lans contends that data warehouses are inherently logical and don't need to be qualified as such. What really matters, he says, is that they present an integrated view of enterprise data, no matter where it's stored.
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Data operations is young compared to DevOps, but it is increasingly used as part of projects that put data at the center of development. Here, Delphix CTO Eric Schrock makes observations about the trend. Continue Reading
A data warehouse is a federated repository for all the data collected by an enterprise's various operational systems, be they physical or logical. Continue Reading
To create a cloud payment processing system, Global Payments first had to deploy a data lake in the Google Cloud. Getting quick user feedback was another early step. Continue Reading
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Operational data stores and data warehouses both store operational data, but the similarities between them end there -- and they both have a role to play in analytics architectures. Continue Reading
Software companies Intuit and Novantas took deliberate approaches to deploying their first Spark clusters, limiting initial user access and looking for solid business uses in a 'surgical' way. Continue Reading
With several deployment options and product choices, it's difficult to know where to start. This buyer's guide helps you choose the right data warehouse product for your company. Continue Reading
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Walgreens built a centralized data warehouse to give supply chain partners a better view into its data -- but analytics were slow. That's where a data staging tier came in. Continue Reading
The growing use of mobile devices by business users broadens the risk of data inconsistencies, a hazard that an integrated process for managing metadata and master data can help address. Continue Reading
The big data ecosystem has many twists and turns. A McKesson data manager saw Splice Machine's database as a means to straighten the path by putting analytics and operations data in one place. Continue Reading
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Fact tables and dimension tables are used together in star schemas to support data analytics applications. But they play different roles and hold different types of data. Continue Reading
Choosing the right ETL tool for your data integration requirements can be a challenge. Here's a rundown on what to look for in ETL software and potential vendors to consider. Continue Reading
Not too long ago, few organizations considered putting all their business apps in the cloud. Moving applications off-premises was an innovative tech experiment only the most adventurous undertook. Today it's a different story. Cloud computing is ... Continue Reading