Resource-Specific Consent in Microsoft Teams with Nick Kramer
Play • 47 min
Channel 9
Channel 9
Microsoft
How to Deploy Azure SQL Anywhere – Using Azure Arc for Data Services | Data Exposed
Join Data Platform MVP Ben Weissman as he explores Azure Arc for Data Services, Microsoft's solution to deploy services like Azure SQL to any cloud – including private clouds – using Kubernetes. He will take us through the core concepts of Azure Arc for Data Services and also demo how easy it is to deploy an Azure SQL Managed Instance on-premises while still being able to see its telemetry from the Azure portal. [01:10]​ Azure Arc overview [03:16]​ Azure Arc-enabled Data Services [06:04]​ Demo [12:45]​ How to learn more Resources: Azure Arc-Enabled Data Services Revealed About Ben Weissman: Ben Weissman has been working with SQL Server since SQL Server 6.5, mainly in the BI/Datawarehousing field. He is a Data Platform MVP, MCSE Data Management and Analytics, and a Certified Data Vault Data Modeler. He is also the first BimlHero Certified Expert in Germany and a co-author of "SQL Server Big Data Clusters" and "The Biml Book". Ben has been involved in more than 150 BI Projects and is always looking for ways to become more productive and make SQL Server even more fun! About MVPs: Microsoft Most Valuable Professionals, or MVPs, are technology experts who passionately share their knowledge with the community. They are always on the "bleeding edge" and have an unstoppable urge to get their hands on new, exciting technologies. They have very deep knowledge of Microsoft products and services, while also being able to bring together diverse platforms, products and solutions, to solve real-world problems. MVPs make up a global community of over 4,000 technical experts and community leaders across 90 countries/regions and are driven by their passion, community spirit, and quest for knowledge. Above all and in addition to their amazing technical abilities, MVPs are always willing to help others - that's what sets them apart. Learn more: https://aka.ms/mvpprogram
14 min
AWS TechChat
AWS TechChat
Shane Baldacchino
Episode 81 - re:Invent 2020 - AI/ML Special
In this episode of AWS TechChat, we close out our four parts of AWS re:Invent 2020 series with an AI/ML special. We cover Amazon Sagemaker, Amazon Kendra, Amazon Elastic MapReduce (EMR), Amazon QuickSight, and some brand new services. We talk about AWS HealthLake and how it makes sense of health data. AWS customers can use Kendra’s Google Drive connector to ingest and manage content from Google Docs and Google Slides. We introduce AWS Panorama which will help improve your operations with computer vision at the edge. We continue with a raft of new Amazon SageMaker updates: • Amazon SageMaker Feature Store - A fully managed repository for machine learning features • Amazon SageMaker Clarify - Bias Detection and Explainability • Amazon SageMaker Debugger - Optimize ML models with real-time monitoring of training metrics and system resources • Amazon SageMaker Model Monitor - Detect drift in model quality, model bias, and feature importance • Amazon SageMaker Pipelines - First purpose-built CI/CD service for machine learning • Amazon SageMaker Jumpstart - Simplifies Access to Pre-built Models and Machine Learning Solutions Before wrapping out, we share two more AI/ML updates - Amazon EMR Studio is the integrated development environment (IDE) for applications written in R, Python, Scala, PySpark, and Jupyter notebooks now gives you the option to deploy on Amazon Elastic Kubernetes Service (EKS). Amazon QuickSight allows you to ask Natural Language Query (NLQ) about your data and get answers in seconds. Speakers: Shane Baldacchino - Edge Specialist Solutions Architect, ANZ, AWS Shai Perednik - Solutions Architect, AWS Pallavi Nargund - Solutions Architect, AWS
1 hr 4 min
The Cloudcast
The Cloudcast
Cloudcast Media
How the Cloud is Changing OSS Licensing
Brian looks at the recent changes in open source licensing, as it relates to managed cloud offerings, and how the perception of end-users towards free software vs. cloud services is changing. *#SundayPerspectives* *SHOW: *493 *SHOW SPONSOR LINKS:* * Onix - The Leading Cloud Solutions Provider * Onix - Cloud data strategy workshop offer (FREE, $2000 value) *CLOUD NEWS OF THE WEEK *- http://bit.ly/cloudcast-cnotw *CHECK OUT OUR NEW PODCAST - **"CLOUDCAST BASICS"* *SHOW NOTES* * Server Side Public License (SSPL) * What does Open Source mean in the Era of Cloud APIs? (Redmonk) * Cockroach and the Source Available Future (Redmonk) * MongoDB Cloud, MongoDB vs. AWS, MongoDB’s Playbook (Stratechery) * Doubling Down on Open (Elastic) * Evolution of Commercial OSS (The Cloudcast, Eps.492) *THINGS WE KNOW* * Open Source has become a mainstream source for innovation - with most of the Internet being built on OSS technologies (in some way or form) * Open Source is more widely used in the Enterprise (than in the past), beyond just Linux * Open Source is often the de facto choice for much of the public cloud (OS, VMs, DBs, etc.) * The need for a “free” experience is expected for anything new in software or cloud, whether that’s for any/all usage, or a fixed period of time.  * “Open core”, or other variations on free OSS + non OSS (non-free) features has been a concept for quite a while.  * Community driven development does bring a broad set of perspectives, and it distributes the workload across engineers, companies, etc. * Plenty of successful projects have been both Open Source and primarily driven by a single company (especially in the data-centric projects) *THINGS THAT WILL EVOLVE* * Where does the value of software come from? Does it come from the features, from the distribution, from the creator(s), or from how it is run? * Do customers value ‘free”, or “stability” or “customizability” (features) or “operationalization”?  * How much of an advantage or disadvantage (or neutral) is the OSS companies offering cloud services across clouds?  *UNKNOWNS AND UNCERTAINTIES* * How will the VC community view the changes in competitive landscape and licensing? How does it impact their future funding models? *FEEDBACK?* * Email: show at thecloudcast dot net * Twitter: @thecloudcastnet
19 min
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