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SAP Datasphere Powers Business at the Speed of Data

Rocket-Powered Data Science

Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. incorporates the business context of the data and data products that are being recommended and delivered).

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Automating the Automators: Shift Change in the Robot Factory

O'Reilly on Data

Think about what the model results tell you: “Maybe a random forest isn’t the best tool to split this data, but XLNet is.” ” If none of your models performed well, that tells you that your dataset–your choice of raw data, feature selection, and feature engineering–is not amenable to machine learning.

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Unlocking near real-time analytics with petabytes of transaction data using Amazon Aurora Zero-ETL integration with Amazon Redshift and dbt Cloud

AWS Big Data

Within seconds of transactional data being written into Amazon Aurora (a fully managed modern relational database service offering performance and high availability at scale), the data is seamlessly made available in Amazon Redshift for analytics and machine learning. If this number is 0, then the test is successful.

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Unparalleled Productivity: The Power of Cloudera Copilot for Cloudera Machine Learning

Cloudera

In the fast-evolving landscape of data science and machine learning, efficiency is not just desirable—it’s essential. Imagine a world where every data practitioner, from seasoned data scientists to budding developers, has an intelligent assistant at their fingertips.

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Data’s dark secret: Why poor quality cripples AI and growth

CIO Business Intelligence

Build data validation rules directly into ingestion layers so that insufficient data is stopped at the gate and not detected after damage is done. Use lineage tooling to trace data from source to report. Understanding how data transforms and where it breaks is crucial for audibility and root-cause resolution.

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Ensuring Data Transformation Quality with dbt Core

Wayne Yaddow

How dbt Core aids data teams test, validate, and monitor complex data transformations and conversions Photo by NASA on Unsplash Introduction dbt Core, an open-source framework for developing, testing, and documenting SQL-based data transformations, has become a must-have tool for modern data teams as the complexity of data pipelines grows.

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Transition from Amazon CloudSearch to Amazon OpenSearch Service

AWS Big Data

With CloudSearch, you can search large collections of data such as webpages, document files, forum posts, or product information. You send your documents to OpenSearch Serverless, which indexes them for search using the OpenSearch REST API. With OpenSearch Serverless , you get improved, out-of-the-box, hands-free operation.