Anyone have experience using databricks? Is it a good analytics tool?
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Anyone have experience using databricks? Is it a good analytics tool?
Would you go back to a company that laid you off?
Anybody else have a harder time getting a job after leaving McKinsey than before you joined? Exited the firm over a year and a half ago and I have not been able to secure an offer ANYWHERE, despite having many interviews.
How much better did your WLB get after leaving consulting? I’m moving to an internal strategy role at a client. Financial Services - Banking. In consulting - standard day was closing my laptop between 9pm - 10pm and eating dinner at my desk. I’m expecting industry to be better, but not that much. Maybe closing my laptop between 6pm - 7pm? I haven’t been able to ask anyone in the bank what it’s like, as this is a new team. I’m benchmarking on other client strategy offices.
About to be a Senior 3 in people consulting at EY. Unsure when I’ll get to manager (EY seems to be not promoting as many rn). Offer from grant thorton offering me 20k more than I make now. Asking for a signing bonus as well. They’re building a new change management practice. Should I go?
I like my job alot. I work with smart people. I have a ton of flexibility. All in (salary, bonus, equity) I make $300k mcol. It's kind of a dead end, I'm not gonna make partner and it's PE backed so I could lose my job at any time. At some point I'll probably be laid off because that just seems to be the new reality. I struggle with looking for a new role because I like my role. But also I feel lazy just chilling. Sanity check if I should try to jump and get back on the escalator or enjoy it?
It’s not an analytics tool, for one
Thank you pwc1
Don’t get trained in Databricks first. Learn the basics of SQL, Python, and Spark. Learn about data engineering core skills before deciding on a platform. Then, if you want to get training on a platform, go for it. But you’ll be much more valuable in the market if you understand those other things first.
Those foundational skills are essential for sure. I will say that Databricks is doing a phenomenal job of selling to the Fortune 500 and specialized skills are in short supply. Being certified in Databricks is basically a golden ticket if you want to make money doing data engineering.
Databricks is absolutely amazing at what it does. But what it does is provide compute for development and production data science use cases. You'll still want to use your own IDE (e.g VS Code) and Databricks doesn't help you write code. But I remember the days of enterprises using self-managed analytics clusters that were under-provisioned and difficult to access and Databricks is miles better. Tldr: it's not a product for you, it's a product for your IT team and their architects.
Why do you ask?
Because I’m interested in getting trained in it
it's more like a platform to code in, not an analytics tool