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Progress for big data in Kubernetes

O'Reilly Media - Data

These difficulties people are facing with containers and state have actually been very good for us at my day job because we build a system that provides a software-defined storage layer that can make a pretty good cloud-neutral distributed data platform. but until recently, this was mostly useful to attach to external storage systems.

Big Data 234
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Monad emerges from stealth with $17M to solve the cybersecurity big data problem

TechCrunch

Once an organization has extracted data from their security tools, Monad’s Security Data Platform enables them to centralize that data within a data warehouse of choice, and normalize and enrich the data so that security teams have the insights they need to secure their systems and data effectively.

Big Data 246
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Speedata emerges from stealth with $70M and groundbreaking chip technology to accelerate big data analytics processing

TechCrunch

Data centers are taking on ever-more specialized chips to handle different kinds of workloads, moving away from CPUs and adopting GPUs and other kinds of accelerators to handle more complex and resource-intensive computing demands. “We were grossly oversubscribed for this round,” he said.

Big Data 246
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Quantexa raises $153M to build out AI-based big data tools to track risk and run investigations

TechCrunch

to bring big data intelligence to risk analysis and investigations. Quantexa’s machine learning system approaches that challenge as a classic big data problem — too much data for a human to parse on their own, but small work for AI algorithms processing huge amounts of that data for specific ends. (The

Big Data 257
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Top Considerations for Building an Open Cloud Data Lake

Data fuels the modern enterprise — today more than ever, businesses compete on their ability to turn big data into essential business insights. Increasingly, enterprises are leveraging cloud data lakes as the platform used to store data for analytics, combined with various compute engines for processing that data.

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Tonic is betting that synthetic data is the new big data to solve scalability and security

TechCrunch

Big data is a sham. There is just one problem with big data though: it’s honking huge. Processing petabytes of data to generate business insights is expensive and time consuming. Processing petabytes of data to generate business insights is expensive and time consuming. What should a company do?

Big Data 267
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Everstream, which applies big data to supply chain management, raises $50M

TechCrunch

Gerdeman claims that what helped Everstream stay ahead of the competition was its “big data” approach. The platform combines data based on supply chain interactions with AI and analytics to generate strategic risk scores, assessed at the material, supplier and facility location level.

Big Data 227