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New TSX Speculative Attack allows stealing sensitive data from latest Intel CPUs

Security Affairs

In the past months, security researchers devised several speculative -channel RIDL (Rogue In-Flight Data Load), Fallout, Microarchitectural Data Sampling ( MDS attacks ), and ZombieLoad. Unlike Meltdown, Spectre , and Foreshadow attacks, MDS attacks target CPU’s microarchitectural data structures.

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Cross-Post from Out of the Stacks: How to Convert Your Home Movie Tapes to Digital

The Texas Record

Digitize your old home videos before it’s too late! Now may be a great time to consider digitizing your old home video movies that have been collecting dust in the closet. Unfortunately, we are facing the obsolescence of videotape and VCRs (Video Cassette Recorders). There are several approaches to digitizing your videos.

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Integrating Structured and Unstructured Data; Are we there already?

Everteam

How many companies have separate solutions to manage structured (database, transactional data) and unstructured data (documents, text, videos, images, email, social media, etc.)? Much of the data we manage today is semi-structured, so why have separate solutions to manage each one?

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Data Modeling 301 for the cloud: data lake and NoSQL data modeling and design

erwin

As the Wikipedia definition basically spelled out (the blue sentence), the key differentiator is that these databases store data in something other than tabular formatted tables. Flexible data structures (i.e. Flexible data structures (i.e. Whitepaper: Meeting the Data-Related Challenges of Cloud Migration.

Cloud 52
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The Impacts of Data Loss on Your Organization

Security Affairs

Understanding the different types of data is crucial for organizations as it helps them devise appropriate data protection and management strategies. Data can be classified into; Structured Data: Structured data refers to information that is organized in a predefined format.

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Synthetic data generation: Building trust by ensuring privacy and quality

IBM Big Data Hub

With the emergence of new advances and applications in machine learning models and artificial intelligence, including generative AI, generative adversarial networks, computer vision and transformers, many businesses are seeking to address their most pressing real-world data challenges using both types of synthetic data: structured and unstructured.

Privacy 86
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You May Soon Be Told to “Go Jump in a Lake” for Your ESI: eDiscovery Trends

eDiscovery Daily

And the technology is an attention-getter: The global data lakes market is expected to grow at a rate of 28 percent between 2017 and 2023. Companies can pull in vast amounts of datastructured, semistructured and unstructured — in real time into a data lake, from anywhere.