Big Data Technical Working Groups

Big Data is an emerging field where innovative technology offers alternatives to resolve the inherent problems that appear when working with huge amounts of data, providing new ways to reuse and extract value from information.

Spotlight

Panasas

Founded in 1999, Panasas, the data engine for innovation, offers purpose-built data solutions for high-performance and artificial intelligence (AI) applications in medical sciences, manufacturing, energy, financial services, media, and government. The company's flagship PanFS® parallel file system and ActiveStor® technologies combine exceptional performance, security, scalability, and reliability with the simplicity of management for modern workloads. The Panasas data engine addresses some of the world's most complex challenges, such as treating diseases, developing the next jetliner, producing mind-blowing visual effects, and predicting new possibilities using AI. Its data solutions have been deployed by Fortune 500 companies as well as leading government and research agencies in over 50 countries, including P&G, Boeing, NIO electric vehicles, National Institute of Health, TGS energy exploration, Siemens, Harvard Medical School and NASA.

OTHER WHITEPAPERS
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HPE Data Management Framework

whitePaper | December 8, 2022

HPE DMF v7 policies can be configured to migrate and store copies of both new and updated files in the capacity tier at specific intervals or after certain periods of file change inactivity. This effectively implements a high-quality, granular backup of a very large filesystem. DMF will automatically make backup copies of files and metadata on a rolling basis using policy definitions that can be tailored by administrators.

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The A-Z of Master Data Management

whitePaper | January 11, 2023

The world of master data management (MDM) is a complicated place to navigate and its native speakers use a language sometimes only they themselves understand. It is packed with complex descriptions, esoteric lingo and acronyms.

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StreetLight Data Sources and Methodology

whitePaper | December 28, 2022

StreetLight Data, Inc. (“StreetLight”) pioneered the use of Big Data analytics to shed light on how people, goods, and services move, empowering smarter, data-driven transportation decisions. StreetLight's proprietary data processing engine, Route Science® algorithmically transforms its vast data resources to measure travel patterns of vehicles, bicycles and pedestrians, accessible as analytics on the StreetLight InSight® SaaS platform. StreetLight provides innovative digital solutions to help communities reduce congestion, improve safe and equitable transportation, and maximize the positive impact of infrastructure investment.

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How AI-Powered Analytics Transforms LIMS Data into Valuable,Action-Ready Insights

whitePaper | December 5, 2022

When modern LIMS software overtook traditional paper-based record-keeping in the lab, operations in every industry improved. Automated data collection drove efficiencies at the bench. Cloud solutions accelerated knowledge-sharing between partners. Built-in security and permission features enhanced data integrity. There’s hardly a lab in operation right now that hasn’t gained from this leap towards digital transformation.

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Creating A New Governance Era with A Data Operating System

whitePaper | October 27, 2022

Data governance is on everyone’s mind as we move from a static model of data to a dynamic, living, breathing data architecture. As many brilliant people have already said, data — and knowledge in general — is full of “ghosts,” or implicit knowledge existing within any organization that never makes it to documentation. Ghosts affect companies in both data and people spheres, making it challenging to modernize legacy architectures or bring new talent on board. Even more, it makes using data a challenge.

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Data Beyond Borders 3.0

whitePaper | July 6, 2023

Cross border data flows came to prominence under Japan’s G20 Presidency in 2019, with the Data Free Flow with Trust (DFFT) framework. Since then, the G20 Presidencies have set DFFT as a major priority in the promotion of worldwide digitisation, building the pillars that led G7 leaders to endorse and commit to a roadmap for cooperation on DFFT. Cross-border e-commerce has had a 45-fold increase1 in a decade, reaching an estimated USD2.7 trillion by 2023.2 Nearly two-thirds of global commerce is related to digital technology, with companies and governments investing an estimated USD6.8 trillion in digital transformation initiatives between 2020 and 2023.3

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Spotlight

Panasas

Founded in 1999, Panasas, the data engine for innovation, offers purpose-built data solutions for high-performance and artificial intelligence (AI) applications in medical sciences, manufacturing, energy, financial services, media, and government. The company's flagship PanFS® parallel file system and ActiveStor® technologies combine exceptional performance, security, scalability, and reliability with the simplicity of management for modern workloads. The Panasas data engine addresses some of the world's most complex challenges, such as treating diseases, developing the next jetliner, producing mind-blowing visual effects, and predicting new possibilities using AI. Its data solutions have been deployed by Fortune 500 companies as well as leading government and research agencies in over 50 countries, including P&G, Boeing, NIO electric vehicles, National Institute of Health, TGS energy exploration, Siemens, Harvard Medical School and NASA.

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