Data on demand or data as a service?
David Loshin describes how data as a service supports fast deployment, easy accessibility and data reuse.
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Discoverability enables self-service data preparation
Get faster value out of your data by empowering business users to work with data on their own.
3 new outcomes you can expect from self-service data preparation
Phil Simon weighs in on the value of getting your own hands dirty using self-service data prep.
Bridging the big data skills gap
Managing big data doesn't always mean hiring more people and buying new tools.
How to use a data catalog to get more value from your data lake
David Loshin explains how to set up a data catalog that will help you get more value from a data lake.
Self-service data preparation gives fast access to the data you need
Get on with your day faster by taking a self-service approach to data preparation.
How do I know what data is available?
Phil Simon shares his thoughts on this simple yet often-overlooked question.
How does data on demand (for different users) change a data strategy?
Joyce Norris-Montanari says focus on data quality and governance, privacy and security when providing data on demand.
Naming things revisited
David Loshin recommends enforcing governed standards to help avoid conflicting analytical results.
Data privacy concerns in the age of big data
Jim Harris considers whether we can save private data in the age of big data.