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You’re Doing ETL Wrong – Here’s a Better Way If you’re still managing your ETL/ELT pipelines like it’s 2015, it’s time to rethink your approach. The recent pricing change by Fivetran is just another glaring example of why the current trend in data integration is
The lakehouse idea springs from a common pain point: warehouses excel at handling structured data and delivering strong analytics performance, but they falter when faced with unstructured data and scalability challenges. On the other hand, lakes shine with unstructured data and flexibility but struggle with governance, consistency, and transactional integrity.
“It’s just a quick ask.” Anyone who has worked with data has heard this phrase—a seemingly simple request: “Can we get a slightly modified report?” “What’s the regional breakdown for this other region?” “Just pull the data.” It sounds like something that should take minutes, maybe hours
The way we handle data is fundamentally broken. Across industries, businesses are trapped in a cycle of centralization—pushing everything into a data lake, warehouse, or some shiny new “lakehouse.” Why? Because getting data out of systems is so painful that the instinct is to store it all in one
Data is the lifeblood of modern business, driving everything from customer insights to operational efficiency. Yet, despite all the shiny tools, tech, and talent, most companies are stumbling. They’ve built impressive systems, but when it comes to making data work, they’re failing. Badly. Let’s be clear: this
Working with Strings in Python - Python has a lot of useful features built into its data types, as we’ve seen with our record dictionaries, but strings (text values) can do a lot for us as well.
Removing Fields from a Record - There are two main ways to remove a field from a Record… Or three, if we count simply clearing out the value.
Writing to Records - There are a few different ways that we can modify an existing record, to add a new field and value, change the value on an existing field, or remove a field entirely.
Reading from Records - There are two main ways to access the individual values (or “fields”) of a Record: Indexing and the get() Method.
