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Misleading Statistics Examples – Discover The Potential For Misuse of Statistics & Data In The Digital Age

datapine

1) What Is A Misleading Statistic? 2) Are Statistics Reliable? 3) Misleading Statistics Examples In Real Life. 4) How Can Statistics Be Misleading. 5) How To Avoid & Identify The Misuse Of Statistics? If all this is true, what is the problem with statistics? What Is A Misleading Statistic?

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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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Generative AI – Chapter 1, Page 1

Rocket-Powered Data Science

I tested ChatGPT with my own account, and I was impressed with the results. It is merely a very large statistical model that provides the most likely sequence of words in response to a prompt. LLMs are so responsive and grammatically correct (even over many paragraphs of text) that some people worry that it is sentient. Guess what?

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Run Trino queries 2.7 times faster with Amazon EMR 6.15.0

AWS Big Data

Benchmark setup In our testing, we used the 3 TB dataset stored in Amazon S3 in compressed Parquet format and metadata for databases and tables is stored in the AWS Glue Data Catalog. Table and column statistics were not present for any of the tables. In this post, we compare Amazon EMR 6.15.0 times faster on Amazon EMR 6.15.0

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What is a data architect? Skills, salaries, and how to become a data framework master

CIO Business Intelligence

Data scientists are experts in applying computer science, mathematics, and statistics to building models. The US Bureau of Labor Statistics says there were 149,300 data architect jobs in the US in 2022 and projects the number of data architects will grow by 8% from 2022 to 2032. Are data architects in demand?

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Decision-Making in a Time of Crisis

O'Reilly on Data

We know, statistically, that doubling down on an 11 is a good (and common) strategy in blackjack. Duke refers to this as resulting. I recalled this mindful use of language when I recently had a COVID-19 test and the doctor reported “the test did not detect the presence of COVID-19,” instead of “the test came back negative.”

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Data Observability and Monitoring with DataOps

DataKitchen

Some will argue that observability is nothing more than testing and monitoring applications using tests, metrics, logs, and other artifacts. Below we will explain how to virtually eliminate data errors using DataOps automation and the simple building blocks of data and analytics testing and monitoring. . Tie tests to alerts.

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