Remove Books Remove Data Lakes Remove Predictive Analytics
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Azure Machine Learning – Empowering Your Data Science Journey

How to Learn Machine Learning

Time Series Data : Specialized functionality for forecasting and anomaly detection in time series data makes Azure ML suitable for IoT applications and business forecasting. Implement Data Versioning : Track data versions to ensure reproducibility of your experiments and models. Happy modeling, friends!

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Perform generative AI-powered data prep and no-code ML over any size of data using Amazon SageMaker Canvas

AWS Machine Learning Blog

SageMaker Canvas is revolutionizing the way businesses approach data and AI, putting the power of predictive analytics and data-driven decision-making into the hands of everyone. He works closely with enterprise customers building data lakes and analytical applications on the AWS platform.

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Generate actionable insights for predictive maintenance management with Amazon Monitron and Amazon Kinesis

AWS Machine Learning Blog

Predictive condition-based maintenance is a proactive strategy that is better than reactive or preventive ones. Indeed, this approach combines continuous monitoring, predictive analytics, and just-in-time action. He published a book on time series analysis in 2022 and regularly writes about this topic on LinkedIn and Medium.

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Deploy a predictive maintenance solution for airport baggage handling systems with Amazon Lookout for Equipment

AWS Machine Learning Blog

With this service, industrial sensors, smart meters, and OPC UA servers can be connected to an AWS data lake with just a few clicks. He published a book on time series analysis in 2022 and regularly writes about this topic on LinkedIn and Medium. This organization manages fleets of globally distributed edge gateways.

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A Guide to Data Analytics in the Travel Industry

Alation

Why is data analytics important for travel organizations? Seasonality and trend predictions Many online travel companies use dynamic and flexible pricing strategies to respond to changes in demand and supply. Using Alation, ARC automated the data curation and cataloging process. “So

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The Evolution of Customer Data Modeling: From Static Profiles to Dynamic Customer 360

phData

Activity Schema Modeling: Capturing the Customer Journey in Action Now that we’ve got our Lego blocks of customer data, let’s talk about another game-changing approach that’s shaking up the world of customer data modeling: Activity Schema Modeling. These changes are streamed into Iceberg tables in your data lake.

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RAG and LLMs for Dynamic Language Modeling, AI Goal-Directed Conversations, and a Can’t-Miss Black…

ODSC - Open Data Science

Data Version Control for Data Lakes: Handling the Changes in Large Scale In this article, we will delve into the concept of data lakes, explore their differences from data warehouses and relational databases, and discuss the significance of data version control in the context of large-scale data management.