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Learn how to optimize your SQL queries for faster data processing and analysis. From correlated queries to indexing and partitioning, we cover expert tips and techniques to help you improve the performance of your SQL queries.
Learn how mlskeleton, the open-source python package, can help you create a professional and organized folder structure for your machine learning projects and streamline your workflow.
This article explains the hypothesis testing, using a business problem as an example to guide readers through the four steps of the process and introduce related concepts
This blog post discusses the importance and usefulness of window functions in data analytics, including their ability to perform complex calculations, aggregate data, rank data, compare data, and analyze data over a set of rows.
Data transformation is the process of preparing data for analysis or use by cleaning, filtering, and shaping it into the desired format. There are various patterns for performing data transformation, including batch processing, stream processing, and micro-batching. Cloud services like AWS, Azure, and Google Cloud offer tools and services to implement these patterns in a scalable and cost-effective way.
