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  2. Databricks - Wikipedia

    en.wikipedia.org/wiki/Databricks

    In November 2023, Databricks unveiled the Databricks Data Intelligence Platform, a new offering that combines the unification benefits of the lakehouse with MosaicML’s Generative AI technology to enable customers to better understand and use their own proprietary data. [13] The firm was valued at $62 billion in December 2024. [14]

  3. Serverless computing - Wikipedia

    en.wikipedia.org/wiki/Serverless_computing

    Serverless computing is "a cloud service category in which the customer can use different cloud capability types without the customer having to provision, deploy and manage either hardware or software resources, other than providing customer application code or providing customer data. Serverless computing represents a form of virtualized ...

  4. Function as a service - Wikipedia

    en.wikipedia.org/wiki/Function_as_a_Service

    Lambda Pinball" is a related anti-pattern that can occur in serverless architectures when functions (e.g., AWS Lambda, Azure Functions) excessively invoke each other in fragmented chains, leading to latency, debugging and testing challenges, and reduced observability. [4]

  5. Microsoft Azure - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Azure

    Microsoft Azure uses large-scale virtualization at Microsoft data centers worldwide and offers more than 600 services. [11] Microsoft Azure offers a service level agreement (SLA) that guarantees 99.9% availability for applications and data hosted on its platform, subject to specific terms and conditions outlined in the SLA documentation.

  6. Data compression ratio - Wikipedia

    en.wikipedia.org/wiki/Data_compression_ratio

    Thus, a representation that compresses the storage size of a file from 10 MB to 2 MB yields a space saving of 1 - 2/10 = 0.8, often notated as a percentage, 80%. For signals of indefinite size, such as streaming audio and video, the compression ratio is defined in terms of uncompressed and compressed data rates instead of data sizes:

  7. Cloud storage - Wikipedia

    en.wikipedia.org/wiki/Cloud_storage

    Cloud computing is believed to have been invented by J. C. R. Licklider in the 1960s with his work on ARPANET to connect people and data from anywhere at any time. [1]In 1983, CompuServe offered its consumer users a small amount of disk space that could be used to store any files they chose to upload.

  8. Cloud-native computing - Wikipedia

    en.wikipedia.org/wiki/Cloud-native_computing

    Frequently, cloud-native applications are built as a set of microservices that run in Open Container Initiative compliant containers, such as Containerd, and may be orchestrated in Kubernetes and managed and deployed using DevOps and Git CI workflows [8] (although there is a large amount of competing open source that supports cloud-native ...

  9. Lustre (file system) - Wikipedia

    en.wikipedia.org/wiki/Lustre_(file_system)

    The Lustre file system architecture was started as a research project in 1999 by Peter J. Braam, who was a staff of Carnegie Mellon University (CMU) at the time. Braam went on to found his own company Cluster File Systems in 2001, [27] starting from work on the InterMezzo file system in the Coda project at CMU. [28]