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AWS re:Invent 2023 Amazon Redshift Sessions Recap

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Customers use Amazon Redshift as a key component of their data architecture to drive use cases from typical dashboarding to self-service analytics, real-time analytics, machine learning (ML), data sharing and monetization, and more. Hear also from Adidas, GlobalFoundries, and University of California, Irvine.

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Data Mesh Architecture on Cloud for BI, Data Science and Process Mining

Data Science Blog

BI provides real-time data analysis and performance monitoring, while Data Science enables a deep dive into dependencies in data with data mining and automates decision making with predictive analytics and personalized customer experiences.

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Data Science Career Paths: Analyst, Scientist, Engineer – What’s Right for You?

How to Learn Machine Learning

The field of data science is now one of the most preferred and lucrative career options available in the area of data because of the increasing dependence on data for decision-making in businesses, which makes the demand for data science hires peak. Their insights must be in line with real-world goals.

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Object-centric Process Mining on Data Mesh Architectures

Data Science Blog

The creation of this data model requires the data connection to the source system (e.g. SAP ERP), the extraction of the data and, above all, the data modeling for the event log. DATANOMIQ Data Mesh Cloud Architecture – This image is animated! Central data models in a cloud-based Data Mesh Architecture (e.g.

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Use Amazon DocumentDB to build no-code machine learning solutions in Amazon SageMaker Canvas

AWS Machine Learning Blog

Amazon SageMaker Canvas is a no-code ML workspace offering ready-to-use models, including foundation models, and the ability to prepare data and build and deploy custom models. In this post, we discuss how to bring data stored in Amazon DocumentDB into SageMaker Canvas and use that data to build ML models for predictive analytics.

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Tableau + AWS: Accelerating your digital transformation with Modern Cloud Analytics

Tableau

To help customers unlock the power and flexibility of self-service analytics in the cloud, we’re continuously investing in our Modern Cloud Analytics initiative, which we announced at Tableau Conference in 2019. What is Modern Cloud Analytics? Core product integration and connectivity between Tableau and AWS.

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Visier’s data science team boosts their model output 10 times by migrating to Amazon SageMaker

AWS Machine Learning Blog

Paycor is an example of the many world-leading enterprise people analytics companies that trust and use the Visier platform to process large volumes of data to generate informative analytics and actionable predictive insights. About the authors Kinman Lam is a Solution Architect at AWS.