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Data Engineering Weekly #161

Data Engineering Weekly

Editor’s Note: Chennai, India Meetup - March-08 Update We are thankful to Ideas2IT to host our first Data Hero’s meetup. There will be food, networking, and real-world talks around data engineering. link] All rights reserved ProtoGrowth Inc, India.

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Data Fabric: The Future of Data Architecture

Monte Carlo

A data fabric isn’t a standalone technology—it’s a data management architecture that leverages an integrated data layer atop underlying data in order to empower business leaders with real-time analytics and data-driven insights. Frequent customer communication and personalization are key to Domino’s success.

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Data Fabric: The Future of Data Architecture

Monte Carlo

A data fabric isn’t a standalone technology—it’s a data management architecture that leverages an integrated data layer atop underlying data in order to empower business leaders with real-time analytics and data-driven insights. Frequent customer communication and personalization are key to Domino’s success.

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Experts Share the 5 Pillars Transforming Data & AI in 2024

Monte Carlo

Predicting the future of data and AI in 2024 is not for the faint of heart. Shiny new technologies promise pie-in-the-sky outcomes. As the machine became smarter with the next generation of data access, we flattened everything to features and columns. For Max, building trust in AI and data both tie back to metadata.

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What is Data Observability? 5 Key Pillars To Know

Monte Carlo

Lineage : When data breaks, the first question is always “where?” Data lineage provides the answer by telling you which upstream sources and downstream ingestors were impacted, as well as which teams are generating the data and who is accessing it. That is true data reliability. It is still relevant today.

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Machine Learning in Insurance: Applications, Use Cases, and Projects

ProjectPro

When it comes to automation, AI and ML technologies are incredibly helpful. 15 Applications of Machine Learning in Insurance For insurance companies to manage their data and analytics, they must implement emerging technologies like ML. These days, insurers can examine the client's food habits and lifestyle preferences.

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Data Pipelines in the Healthcare Industry

DareData

Furthermore, clean and accessible data, along with data driven automations, can assist medical professionals in taking this patient-centric approach by freeing them from some time-consuming processes. This is why I believe experience play an important role in developing good data pipelines.