Data Warehousing

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AI’s biggest risk factor: Data gone wrong

Bad data is big issue for artificial intelligence, and as businesses increasingly embrace AI, the stakes will only get higher. Here’s how not to get burned.

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Snowflake, now a unicorn, eyes global growth for cloud data warehouse

Fueled by a capital injection of $263 million making it the first cloud-native data warehouse startup to achieve "unicorn" status, Snowflake is set this year to expand its global footprint, offer cross-regional, data-sharing...

cloud data warehouse

The data warehouse in 2018

ELT has moved to the forefront and now quickly becoming the standard in big data systems.

artificial intelligence ai

To be AI-first, move beyond managing data warehouses

Enterprises need to define a path to data-maturity and that requires reshaping and reorganizing their data storage, description, maintenance and value generation processes, procedures, tooling and functions.

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SAP wants to embrace all your data stores with Data Hub

If data warehouses are for tidiness freaks (information packaged into neat inferences, sorted and stacked, the rest discarded) and data lakes are for hoarders (tip everything in, you never know what might be useful) then SAP's new...

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The CIO's data dilemma: The paradox of plenty?

"Data rich but information poor" is how many business stakeholders describe their organizations. They increasingly challenge CIOs to change the status quo, leveraging some of the data/analytics buzzwords and success stories they are...

data lakes

The dos and don’ts of data lakes

This article shares research on what is needed to ensure CIOs establish valued data lakes, versus unvalued data swamps.

3 keys to keep your data lake from becoming a data swamp

3 keys to keeping your data lake from becoming a data swamp

Data lakes can store all your business data with ease, but beware: That massive repository of data can get bogged down, choking your data off from your users. Here’s how to prevent your data lake from turning into a data swamp.

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Maplight data analytics helps 'follow the money' in politics.

'Follow the money' was the advice for reporters investigating Watergate. Researchers now use technology to analyze the influence of money in government.

consumer data ts

The rise of the data marketplace

What Amazon can tell us about the future of enterprise data management.

Big data

Recharge your knowledge of the modern data warehouse

Data warehousing is evolving from centralized repositories to logical data warehouses leveraging data virtualization and distributed processing. Make sure you’re not using old terminology to explain new initiatives.

transformation leadership

Tip No. 3: Provide coaching and advice as needed

This is a continuation of my series on "Five Tips for Leading Agile Data Management Development Teams." Here, I discuss the third tip: Provide coaching and advice as needed — to both self-managing teams and individual team members.

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SAP adds new enterprise information management

Aiming to help organizations better manage, govern and strategically use and control their data assets, SAP has updated its EIM portfolio.

Data science

Face-off: Oracle vs. HPE for data warehousing

Considering a data warehouse system? Download this free report for side-by-side comparisons of rival products from Oracle and HP Enterprise, based on reviews written by enterprise users of the products.

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