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Enhance query performance using AWS Glue Data Catalog column-level statistics

AWS Big Data

Today, we’re making available a new capability of AWS Glue Data Catalog that allows generating column-level statistics for AWS Glue tables. These statistics are now integrated with the cost-based optimizers (CBO) of Amazon Athena and Amazon Redshift Spectrum , resulting in improved query performance and potential cost savings.

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End-to-End Case Study: Bike Sharing Demand Prediction

Analytics Vidhya

Introduction Bike-sharing demand analysis refers to the study of factors that impact the usage of bike-sharing services and the demand for bikes at different times and locations. The purpose of this analysis is to understand the patterns and trends in bike usage and make predictions about future demand.

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Navigating Data Formats with Pandas for Beginners

Analytics Vidhya

Use the Data formats with pandas in economics and statistics. It refers to structured data sets that hold observations across multiple periods for different entities or subjects. Introduction Pandas is more than just a name – it’s short for “panel data.” ” Now, what exactly does that mean?

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An Intuitive Introduction to Bayesian Decision Theory

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Bayesian decision theory refers to the statistical approach based on. The post An Intuitive Introduction to Bayesian Decision Theory appeared first on Analytics Vidhya.

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Statistics and Probability for Data Analysis (In Plain English!)

Dataiku

One crop of people — who may not refer to themselves as citizen data scientists — are those who are proficient at working with data, solving problems, and delivering business insights. As time has passed and the analytics & data science landscapes have evolved, so have the different breeds of data scientists.

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Generative AI – Chapter 1, Page 1

Rocket-Powered Data Science

It is merely a very large statistical model that provides the most likely sequence of words in response to a prompt. That scenario is being played out again with ChatGPT and prompt engineering, but now our queries are aimed at a much more language-based, AI-powered, statistically rich application. Guess what? It isn’t.

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Run Trino queries 2.7 times faster with Amazon EMR 6.15.0

AWS Big Data

Table and column statistics were not present for any of the tables. Join order and join algorithm decisions are typically a function performed by cost-based optimizers, which uses statistics to improve query plans by deciding how tables and subqueries are joined. Benchmark queries were run sequentially on two different Amazon EMR 6.15.0