Speed Matters: How To Process Big Data Securely For Real-time Applications

Big Data processing has stepped up to provide organizations with new tools and technologies to improve business efficiency and competitive advantage.

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Big Data processing has stepped up to provide organizations with new tools and technologies to improve your business efficiency and competitive advantage.

Big Data processing is not a new concept but its true impact on the enterprise is only just being felt as swathes of data pour into our businesses thanks to phenomena such as the Internet of Things (IoT) and widespread digitization.

What can we do with that information? Many businesses are pooling this information in vast “data lakes”, where data is stored in its natural state. However, uncovering salient information here is not an easy task. We need to better capture, store and manage our data to gain the necessary insights and analysis to fully capitalize on its value.

This is where Big Data processing steps in, but there are scalability and security hurdles to overcome that traditional on-site solutions cannot address. So, cloud providers such as Alibaba Cloud offer organizations the ability to create and manage container clusters quickly, cheaply and securely.

In practical terms, Big Data processing is an evolution of our early search engines. It enables businesses to capture, match or process the right piece of data to the right circumstances. But now our data sets are so voluminous and complex that the traditional data processing capabilities we are familiar with are inadequate to effectively work with Big Data.

This whitepaper will look at Big Data processing and its origins, and discuss current challenges that organizations face, including how to interpret and provide results in real-time. We will look at the benefits of convergence of the cloud and Big Data, introduce the E-MapReduce system, and consider the future of Big Data processing, which is a dynamic and burgeoning sector.

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Speed Matters: How To Process Big Data Securely For Real-time Applications

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