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Intel 5th Gen Xeon CPUs Official: Emerald Rapids Compatible With Sapphire Rapids, Up To 64 Cores, 320 MB Cache, Prices Detailed

Intel has officially launched its 5th Gen Xeon CPU family codenamed Emerald Rapids, bringing higher performance & efficiency with lower TCO.

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OGC to form new GeoParquet Standards Working Group; Public Comment sought on Draft Charter

GeoParquet adds geospatial types to Apache Parquet to serve as an efficient cloud-native vector data format

Geoparquet githubGeospatial consortiumGeoparquet standards working groupApache parquetPublic commentOpen geospatial consortiumOpen source projectsCloud optimizedParquet githubFeatures standardSimple featureSimple features

Veritas Technologies Named a Leader in the 2022 Gartner(R) Magic Quadrant(TM) for Enterprise Backup and Recovery Software Solutions for the 17th Time

SINGAPORE, Aug. 4, 2022 /PRNewswire/ Veritas Technologies, a leader in multi-cloud data management, today announced it has been named a Leader in the Gartner Magic Quadrant for Enterprise Backup and Recovery Software Solutions for the 17th time.1Veritas believes this recognition further validates the company's investment and commitment to delivering a rapid pace of innovation and the most advanced solutions to protect and recover the critical data of the world's largest enterprises. Enterprises are facing the unparalleled challenge of managing unprecedented data growth across increasingly complex multi-cloud environments, leading to larger attack surfaces and increasing ransomware threats - one of the biggest business risks today. Veritas is uniquely positioned to address this challenge. Veritas continues to drive innovation as it executes on its vision for delivering Autonomous Data Management, where data is protected invisibly and automatically without sacrificing human ove

Jason donhamNik simpsonDeepak mohanJerry rozemanMichael hoeckGartner incMagic quadrant for enterprise backup recovery softwareRecovery software solutionsRecovery solutionsCloud scale technologyMagic quadrant for enterprise backup softwareGartner magic quadrantEnterprise backupAutonomous data managementMagic quadrantDatacenter backup

A Handy Introduction to Cloud Optimized GeoTIFFs

Since I started working at Planet, I kept hearing about Cloud Optimized GeoTIFFs (COGs). My colleague Chris Holmes even wrote a post explaining what they are and how they’re useful. I decided to implement a Go library to be able to work with COGs. Much of Planet’s satellite imagery is in the GeoTIFF format, including this nice image of Los Angeles from our February 2018 Global Basemap: An image of Los Angeles from Planet’s February 2018 Basemap. ©2018 Planet Labs Inc, CC BY-SA 4.0. As a first step to writing a library, I needed to learn about 1) Cloud Optimized GeoTIFFs, 2) GeoTIFFs in general, and 3) even more general than that: TIFFs. I’ve always found binary file formats intimidating they just look like gibberish when you dump them into the console! But there’s logic in that gibberish. Here’s what you can gain from my exploration of this 30-year-old file format.

Frank warmerdamDana bauerIfds ian hansenChris holmesJoe kingtonPatrick armstrongLos angelesSian hansenDeveloper centerHandy introductionCloud optimizedImage file formatTag image file formatImage fileImage file directoryAware systems

Light Every Night – New nighttime light data set and tools for development

Light Every Night – New nighttime light data set and tools for development Illustration of a satellite view of Planet Earth. ©Rakchai Duangdee/Shutterstock The power was out again. Sitting in a darkened room in western Senegal, the man talked happily about how the arrival of electricity a decade ago had transformed life in the village of Gaouane. But becoming accustomed to reliable electricity had an unexpected downside: “Now when the power goes out, it feels even darker than before we had electricity!” The World Bank and its partners have been at the forefront of this charge. Supported by an early World Bank Innovations Fund grant, Kwawu Gaba and Brian Min compared ground-based data from hundreds of West African villages, including in Gaouane, against nighttime satellite imagery. This was the first study to directly detect rural electrification at the village level using satellite imagery.

United statesKwawu gabaRakchai duangdee shutterstockEnergy specialistAmazon web servicesWorld bank innovations fundWorld bank light every nightWorld bankData programUniversity of michiganBrian minWest africanMiddle eastNorth africaLight every nightLead energy specialist

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