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Data Engineering and Analytics

Author: Farnam Iranpour

Harness the Power of SQL Parameters in Databricks

By Farnam Iranpour

Databricks continues to innovate and enhance the data engineering experience, and their recent introduction of SQL parameters is no exception. This simple yet powerful feature can revolutionize the way you write and interact with SQL code. Here’s everything you need to know about SQL parameters and how they can streamline your workflows. What Are SQL…

Ingest Netherlands GDP Data to Databricks for Free

By Farnam Iranpour

If you’re working with data on Databricks and need access to Netherlands GDP information, you’re in luck! The CBS (Statistics Netherlands) offers free and easy access to this data via its Python library, cbsodata. In this blog post, we’ll walk you through the process of ingesting Netherlands GDP data into your Databricks environment effortlessly. Step-by-Step…

Handling Pagination in API Requests Using Python’s requests Library

By Farnam Iranpour

APIs are a powerful tool for accessing data and performing various operations over the web. However, when working with large datasets, it’s common to encounter pagination, where the data is split into chunks or pages. Handling pagination properly is crucial to ensure you retrieve all the data you need. In this blog post, we’ll walk…

Looking for Free and Reliable Weather Data in the Netherlands? 🤔

By Farnam Iranpour

The unpredictable weather in the Netherlands is a critical factor for many businesses. By comparing historical weather data with your sales data, you can gain valuable insights into which weather conditions favor the sale of specific products. Whether you’re managing inventory, planning marketing campaigns, or optimizing logistics, weather data can be a game-changer. But first,…