I love the comparison to religion and how she established what works for her. So that was just the fun thing that I wanted to put together." So I said to myself, let me just come up with what I think is my religion because there are so many religions now, you know, so let me come up with my religion and my set of rules.
"When I started with building models, there were no standards and little by little standards were introduced, and I was so happy and glad, I was just enjoying those times a lot, SMART standards, FAST standards, and I was just very glad that, these were kind of established in the market.īut then I saw that people are kind of becoming a little bit too much into them and becoming like, you know, a religion and all that. In the episode she shares a lot of great material including how she created her own set of the 10 financial modeling commandments, and below is how it came about: This week, I sat down with Hedieh Kianyfard, the author of Financial Modeling Detective, to talk about all things Financial Modeling. As modelers, we should be problem solvers, and have a decision-making mindset. It is not enough to be good at modeling and leave the rest to others. “As modelers we have a responsibility to reject bad projects and help ensure good projects are accepted.” Versatility Across Platforms: Almost every database system supports SQL, making it a universally applicable skill regardless of the technology stackĭata Integrity and Security: With SQL, one can not only access data but also ensure its consistency, security, and accuracy through constraints and permissions. In-demand Skill: Many employers in the data world require proficiency in SQL due to its pivotal role in database operations Why SQL is Important for Your Data Career: I have also shared some free resources below!įoundation of Data: SQL (Structured Query Language) is the standard language for relational database management, which forms the backbone of most big data solutions todayĭata Retrieval and Manipulation: SQL allows users to efficiently retrieve, filter, and manipulate vast amounts of stored data, making it invaluable for data analytics and reporting
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