From Data To Wisdom @data_to_wisdom
Use data to structure and solve the problems. Read better books. Lead a healthier life. ljubica-vujovic.medium.com Joined September 2011-
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Fabric data warehousing offers burstable capacity with sensible guardrails for workloads. Learn more below. blog.fabric.microsoft.com/blog/data-ware…
It's disappointing. About 9 of 10 product organizations are, at best, mediocre. Teams are hindered rather than empowered, stakeholders’ opinions and customers’ demands replace strategy, and what you do resembles a waterfall process. You might feel lost. But it's not hopeless.…
Dropping some pro tips for improving your week: - Drink water - Morning sunshine - Keep reading about #MicrosoftFabric! Here is some great material created by MVP community: lnkd.in/db7_KBGy:
For those of you SQL folks still wondering about data warehousing in #MicrosoftFabric, @rob_farley has a great post clarifying.
For those of you SQL folks still wondering about data warehousing in #MicrosoftFabric, @rob_farley has a great post clarifying.
Great explanations of Fabric artifacts, Lakehouse and Warehouse. Check out how artifacts support different experiences and personas: youtu.be/cmQ9hs8DdR0 #MicrosoftFabric #Analytics
Amazing vision & incredible team lead to #MicrosoftFabric
Amazing vision & incredible team lead to #MicrosoftFabric
Finding yourself by just thinking about it and seeing the world, instead of pursuing some action and examining your own thoughts and feelings is losing yourself.
The more energy you need to start, more regarding can be to continue.
Let me be blunt. Those who are afraid of AI feel deep down that they are impostors & have no edge. If you have a 1) clear mind, 2) a deep, not just cosmetic, undertanding of your specialty, 3) and/or are original enough to reinvent yourself when needed, AI will be your friend.
What are the skills that are hard to automate? What are the jobs that will stick even with AI?
The issue with data driven decisions is that data may reflect past which is radically different than the future. Trust data but also question data. Always.

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