Mon.Aug 29, 2022

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Build a Reproducible and Maintainable Data Science Project: A Free Online Book

KDnuggets

This free online book is a fantastic resource on how to structure, manage, and maintain your real-world data science projects.

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Teradata VantageCloud Lake and ClearScape Analytics: Empowering Enterprise Analytical Innovation

Teradata

Teradata's new offerings, VantageCloud Lake and ClearScape Analytics, make it the complete cloud analytics & data platform, with cloud-native deployment and expanded analytics capabilities.

Cloud 98
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3 Ways to Append Rows to Pandas DataFrames

KDnuggets

Learn a simple way to append rows in the form of arrays, dictionaries, series, and dataframes to another dataframe.

Python 152
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Data Quality Monitoring – You’re Doing It Wrong

Monte Carlo

Occasionally, we’ll talk with data teams interested in applying data quality monitoring narrowly across only a specific set of key tables. The argument goes something like: “You may have hundreds or thousands of tables in your environment, but most of your business value derives from only a few that really matter. That’s where you really want to focus your efforts.

IT 52
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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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The Complete Data Science Study Roadmap

KDnuggets

This article will map out the things you need to do to become a data scientist.

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What is Data Discovery: Definitions & Overview

Monte Carlo

In the world of data engineering, data discovery refers to the ability to find relevant data sets across your data platform and understand their context. Data discovery makes data engineering and analytical engineering tasks more efficient and can enable self-service access for other types of data consumers. Just like knowledge workers need to tap into a shared repository to discover and combine relevant information across documents or slide decks, data professionals need to do the same with dat