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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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
Data warehousing as a service (DWaaS) is an outsourcing model in which a service provider configures and manages the hardware and software resources a data warehouse requires, and the customer provides the data and pays for the managed service. Continue Reading
Co-operative Allegiance Retail Services is deploying a cloud-based big data stack to replace a homegrown system that fell short on analytics power. Continue Reading
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How big is your company, and what resources does it have? What are your performance needs? Answering these questions and others can help you select the right data warehouse platform. Continue Reading
The Pivotal Greenplum open source shared-nothing data warehouse delivers high query performance and throughput, and provides rapid analytics on big data. Continue Reading
The Microsoft Azure SQL Data Warehouse lets you scale compute and storage independently based on your performance needs, so you pay for query performance only when you need it. Continue Reading
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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
To fully understand their analytics data, organizations need to incorporate temporal data capabilities into data warehouses and business intelligence systems, consultant Barry Devlin says. Continue Reading
IT recruiting expert Matt Mueller explains why obtaining a specific degree or certification in data management shouldn't be a job seeker's top priority. Continue Reading
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A CTO sits data scientists and software engineers together to successfully employ the Hadoop framework for a DNA app that finds family tree limbs. Continue Reading
To make the most of different data assets, analysts say data warehouses and big data systems should be blended into logical or hybrid architectures. Continue Reading
Find out how a large data warehouse system can benefit companies. Learn how enterprise data warehouses help meet business needs. Get tips on operational considerations for a central data warehouse. Continue Reading