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(This may be complicated by different countries' privacy legislation). Setting up a data lake is pure IT work.
The emerging solution is a "data lake," a repository in which disparate data streams can be stored in their native formats.
That platform, Marquee, pulls data about transactions, markets, research, and emails instantly into a data lake and applies machine-learning algorithms to derive insights and solutions.
Ideally this data would all be in one place, and our data technology team are working towards this by creating a data lake using Presto, but at the time of our analysis this was not the case.
GE's Brilliant Factories initiative uses sensors (retrofitted on existing equipment or designed into new equipment) to stream information into a data lake, where it can be analyzed for insights on cutting downtime and improving efficiency.
I call this a data lake.
Has your company implemented a data lake?
Getting data into a data lake is one thing.
The two companies are working together to build what they are calling a "data lake".
There is lots of data moving into a data lake, but it's not moving as quickly".
As it turns out, Epic uses a data lake for this massive undertaking.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com