How to Pick Tools for a Data Stack (considerations)
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Every data team (at some point) needs to make a decision on tooling for their data stack.
Nobody gets to skip this step.
This is naturally most important at the very beginning.
But can be a huge factor when considering a data migration as well.
Unfortunately, this decision has become increasingly more difficult over the years as more tools have become available in the market.
In short, it's overwhelming.
But at the same time, you don't want to take this decision lightly or rush it.
It's going to directly impact your effectiveness as a team, your ability to scale and, depending on the decision you make, the bottom line.
So in this video I'll share some key considerations to keep in mind as you navigate this decision so you end up picking tools that are best for you.
Enjoy!
Timestamps:
0:00 - Intro
0:45 - Money
3:20 - Maintenance
7:43 - Expectations
Title & Tags:
How to Pick Tools for a Data Stack (considerations)
#kahandatasolutions #dataengineering #mds
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