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Data virtualization

Dataconomy

Mechanics of data virtualization Understanding how data virtualization works reveals its benefits in organizations. Middleware role Data virtualization often functions as middleware that bridges various data models and repositories, including cloud data lakes and on-premise warehouses.

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Unraveling the tapestry of global news through intelligent data analysis

Dataconomy

Image credit ) The data-savvy journalist’s new frontier Today’s journalism isn’t just about being on the ground; it’s also about being in the cloud. Data analysis tools have improbably morphed into the modern journalist’s pen and paper, uncovering stories that might otherwise remain hidden in plain sight.

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New Online Data Summit Coming Fall 2019

Data Science 101

A new online conference focused on cloud data technologies is coming this fall. The focus of the event is data in the cloud (migrating, storing and machine learning). Some of the topics from the summit include: Data Science IoT Streaming Data AI Data Visualization. I hope to see you there.

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

Data Science Blog

A Data Product can take various forms, depending on the domain’s requirements and the data it manages. It could be a curated dataset, a machine learning model, an API that exposes data, a real-time data stream, a data visualization dashboard, or any other data-related asset that provides value to the organization.

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Exploring the Power of Microsoft Fabric: A Hands-On Guide with a Sales Use Case

Data Science Dojo

In the sales domain, this enables real-time monitoring of live sales activities, offering immediate insights into performance and rapid response to emerging trends or issues. Data Factory: Data Factory enhances the data integration experience by offering support for over 200 native connectors to both on-premises and cloud data sources.

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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

Here are some of the key types of cloud analytics: Descriptive analytics: This type focuses on summarizing historical data to provide insights into what has happened in the past. It helps organizations understand trends, patterns, and anomalies in their data. Ensure that data is clean, consistent, and up-to-date.

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A Guide to Choose the Best Data Science Bootcamp

Data Science Dojo

Data science bootcamps are intensive short-term educational programs designed to equip individuals with the skills needed to enter or advance in the field of data science. They cover a wide range of topics, ranging from Python, R, and statistics to machine learning and data visualization.