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9 Best Practices for Real-Time Data Management

Dataversity

Businesses increasingly rely on real-time data to make informed decisions, improve customer experiences, and gain a competitive edge. However, managing and handling real-time data can be challenging due to its volume, velocity, and variety.

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10 Advantages of Real-Time Data Streaming in Commerce

Dataversity

While we haven’t built technology that enables real-time matter transfer yet, modern science is pursuing concepts like superposition and quantum teleportation to facilitate information transfer across any distance […] The post 10 Advantages of Real-Time Data Streaming in Commerce appeared first on DATAVERSITY.

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Deciphering the Pros & Cons of Real-Time Data Streaming

Smart Data Collective

One of the recent developments in digital technology is streaming data in real-time. Data streaming is all about processing and analyzing data that keeps on flowing from a particular source to a destination in almost real-time. Data Streaming Functioning Procedure.

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Leveraging Data Stream Processing to Improve Real-Time Data Analysis 

Dataversity

Data stream processing is rapidly emerging as a critical technology for modernizing enterprise applications and improving real-time data analysis for data-driven applications. Traditionally, […] The post Leveraging Data Stream Processing to Improve Real-Time Data Analysis appeared first on DATAVERSITY.

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Real-Time Data Processing Is No Longer the Future – It Is Essential Right Now

Dataversity

World-wide real-time data grows exponentially every minute as more people use more devices, websites, IoT sensors, and other ways to stay connected. Today, the ability to instantly analyze and capitalize on streaming data, precisely when it is generated, is key to the success or failure of an organization.

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Real-Time Data in Machine Learning: Challenges and Solutions

Dataversity

There are instances in which real-time decision-making isn’t particularly critical (such as demand forecasting, customer segmentation, and multi-touch attribution). In those cases, relying on batch data might be preferable. However, when you need real-time automated […].

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What You Don’t Know About Real-Time Data Is Killing You

Dataversity

One of the biggest pitfalls companies can run into when establishing or expanding a data science and analytics program is the tendency to purchase the coolest, fastest tools for managing data analytics processes and workflows, without fully considering how the organization will use these tools.