Articles about Data Warehouse

A new survey of 500 data and IT leaders who manage data workloads of 150 terabytes or more shows that growing volumes of data are increasingly driving business priorities.

The study, from hyperscale data analytics platform Ocient, finds 90 percent of IT and data leaders are planning to remove or replace existing big data and analytics technologies in the next six to 12 months.

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The concept of 'shifting left' is often used in the cybersecurity industry to refer to addressing security earlier in the development process.

But it's something that can be applied to data management too. Shifting left in this sense means performing data reliability checks sooner. The ability to execute data reliability tests earlier in the data pipelines helps keep bad data out of production systems.

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According to a new study more than 59 percent of data and technology leaders plan to switch their data warehousing solutions and 46 percent say a legacy system is motivating them to do so.

The research carried out by Propeller Insights for Ocient surveyed 500 people who are managing active data workloads of 150 terabytes or more. It finds 97 percent of respondents say the volume of data managed by their organization is set to grow fast or very fast over the next one to five years.

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Businesses now live and die by data. From managing resources and analyzing performance to hyper-targeted marketing and behavioral analytics, data has become essential to the way companies operate. The demand for data has never been higher -- and it’s only increasing.

This pressure passes directly onto the people who help meet this demand. Data warehouse (DW) and analytics professionals are having to develop new data sets and produce insights at a record pace, all whilst keeping costs down. It’s clear DW acceleration is critical and this is acknowledged across the industry: according to WhereScape and TDWI’s research published this year, 63 percent of data warehouse professionals consider DW acceleration extremely important.

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