Der 5G-Netzausbau ist in Deutschland in vollem Gang. Die BWI erprobt für die Bundeswehr Anwendungsszenarien der 5G-Technologie und sucht für ihre komplexen IT-Projekte Fachpersonal. (5G, Mesh)
Quelle: Golem
Ab heute sind einige der Features von Amazon Aurora wie der synchrone Aufruf einer AWS Lambda-Funktion, Hot Row Contention, Backtrack und Hash-Joins in der MySQL 5.7-kompatiblen Edition von Aurora verfügbar, um die Performance und Verwaltung zu optimieren. Die MySQL 5.7-kompatible Edition von Amazon Aurora bietet bereits Verbesserungen wie JSON-Unterstützung, räumliche Indizes und generierte Spalten.
Quelle: aws.amazon.com
Ressourcen lassen sich ab sofort programmatisch in Amazon QuickSight erstellen, bereitstellen und prüfen. QuickSight unterstützt APIs für Dashboards, Daten, SPICE und Berechtigungen. Dashboard-APIs ermöglichen die Erstellung von Dashboards mit vorkonfigurierten Vorlagen sowie das Management bereits vorhandener Dashboards. Daten-APIs bieten Funktionen im Zusammenhang mit Datenquellen und Datensätzen und SPICE-APIs ermöglichen das Auslösen und Überwachen von Datenintegrationen. APIs für differenzierte Berechtigungen ermöglichen das Hinzufügen und Verwalten von AWS Identity and Management(IAM)-Richtlinienzuweisungen, die den Zugriff auf AWS-Ressourcen wie Amazon S3 und Amazon Athena auf bestimmte Benutzer oder Gruppen in Amazon QuickSight einschränken.
Quelle: aws.amazon.com
Amazon Redshift Spectrum ist ab sofort in fünf weiteren AWS-Regionen verfügbar: EU (Paris, Stockholm), Naher Osten (Bahrain), Asien-Pazifik (Hongkong) und in der Region AWS GovCloud (USA-West).
Quelle: aws.amazon.com
In Amazon QuickSight können Sie nun Themen und Anpassungen hinzufügen, die zu Ihrem Unternehmens-Branding oder der Oberfläche Ihrer Anwendung passen. Mit Themen können Autoren von QuickSight-Dashboards Hintergründe, Text, Daten und Farbverläufe sowie Abstände und Ränder von visuellen Elementen anpassen. Hier finden Sie weitere Informationen.
Quelle: aws.amazon.com
Amazon EC2 bietet eine große Auswahl von Instance-Typen, die für unterschiedliche Anwendungsfälle optimiert sind. Kunden verfügen ab sofort über mehr Möglichkeiten, Instance-Typen einfach zu finden und nach CPU, RAM, Speicher, Netzwerk-Performance, regionaler Verfügbarkeit, Preisen und mehr zu vergleichen. Im neuen Abschnitt "Instance Types" (Instance-Typen) der EC2-Konsole können Kunden Instance-Typen filtern, suchen und vergleichen. Außerdem können Kunden programmatisch mit folgenden neuen APIs die Spezifikationen der Instance-Typen aufrufen: DescribeInstanceTypes und DescribeInstanceTypeOfferings. Diese APIs und Konsolenfunktionen sind ab heute in allen kommerziellen AWS-Regionen verfügbar. Weitere Informationen finden Sie in der Dokumentation.
Quelle: aws.amazon.com
We are excited to announce the general availability of multi-protocol access for Azure Data Lake Storage. Azure Data Lake Storage is a unique cloud storage solution for analytics that offers multi-protocol access to the same data. This is a no-compromise solution that allows both the Azure Blob Storage API and Azure Data Lake Storage API to access data on a single storage account. You can store all your different types of data in one place, which gives you the flexibility to make the best use of your data as your use case evolves. The general availability of multi-protocol access creates the foundation to enable object storage capabilities on Data Lake Storage. This brings together the best of both object storage and Hadoop Distributed File System (HDFS) to enable scenarios that were not possible until today without data copy.
Broader ecosystem of applications and features
Multi-protocol access provides a powerful foundation to enable integrations and features for Data Lake Storage. Existing object storage applications and connectors can now be used to access data stored in Data Lake Storage with no changes. This vastly accelerated the integration of Azure services and the partner ecosystem with Data Lake Storage. We are also announcing the general availability of multiple Azure service integrations with Data Lake Storage including: Azure Stream Analytics, IoT Hub, Azure Event Hubs Capture, Azure Data Box, and Logic Apps. These Azure services now integrate seamlessly with Data Lake Storage. Real-time scenarios are now enabled by easily ingesting streaming data into Data Lake Storage via IoT Hub, Stream Analytics and Event Hubs Capture.
Ecosystem partners have also strongly leveraged multi-protocol access for their applications. Here is what our partners are saying:
“Multi-protocol access is a massive paradigm shift that enables cloud analytics to run on a single account for both blob data and analytics data. We believe that multi-protocol access helps customers rapidly achieve integration with Azure Data Lake Storage using our existing blob connector. This brings tremendous value to customers without needing to do costly re-development efforts.” – Rob Cornell, Head of Cloud Alliances, Talend
Our customers are excited about how their existing blob applications and workloads “just work” leveraging the multi-protocol capability. There are no changes required for their existing blob applications saving them precious development and validation resources. We have customers today running multiple workloads seamlessly against the same data using both the blob connector and the Azure Data Lake Storage connector.
We are also making the ability to tier data between hot and cool tiers for Data Lake Storage generally available. This is great for analytics customers who want to keep frequently used analytics data in the hot tier and move less used data to cooler storage tiers for cost efficiencies. As we continue our journey, we will be enabling more capabilities on Data Lake Storage in upcoming releases. Stay tuned for more announcements in the future!
Get started with multi-protocol access
Visit our multi-protocol access documentation to get started. For additional information see our preview announcement. To learn more about pricing, see our pricing page.
Quelle: Azure
Ein Vergleich von Bundeswirtschaftsminister Altmaier, wonach es in der NSA-Affäre auch keinen Boykott gegen US-Unternehmen gegeben habe, bringt den US-Botschafter in Deutschland in Rage. Er will unbedingt einen Boykott gegen Huawei durchsetzen. (Huawei, Mobilfunk)
Quelle: Golem
Aus Sicht des lokalen Netzbetreibers Netcologne sind 5G und die technischen Innovationen nur durch Kooperation zu verwirklichen. “Das geht alles nur, wenn wir kooperieren”, sagte der Technikchef in Stuttgart. (Netcologne, Nokia)
Quelle: Golem
We’re proud to announce that Forrester has named Google Cloud as a Leader in its report, The Forrester New Wave™: Computer Vision (CV) Platforms Q4, 2019. We believe Forrester’s report validates Google Cloud’s AI strategy, and echoes the feedback we’ve heard from customers: Google Cloud offers powerful, flexible, open, and easy-to-use AI building blocks and solutions to parse unstructured content and enable intelligent process automation.Google Cloud offers the full gamut of computer vision building blocks and prepackaged solutions for your organization.Parse and structure your scanned documents with the Document Understanding AI solution and OCR productsDerive insights from your images and videos with our pre-trained Vision API, Vision Product Search, and Video Intelligence APIIntegrate computer vision models in your mobile apps with the Firebase MLKit Train and deploy high-quality custom machine learning models with minimal effort and machine learning expertise with AutoML Vision, AutoML Video, and the Cloud AI PlatformIntegrating these capabilities enabled our customers and partners to implement intelligent process automation solutions. From document understanding and OCR for procure-to-payment automation, to automated assembly line defect detection, and automated medical imagery analysis for radiologist assistance, Google Cloud is your platform for digital transformation. In this report, Google Cloud received the highest score in the current offering category among the vendors evaluated. Google Cloud was also the only provider to receive the highest possible score of “differentiated” across all 10 Forrester evaluation criteria: Data, Capabilities, Pre-Trained Models, Development, Deployment, Solutions, Ease of Use, Vision, Roadmap, and Market Approach.Some other highlights from Forrester’s research show that Google Cloud:Enables more personas to build a wider, better range of computer vision solutions. Google’s offerings span the full CV solution development lifecycle and enable everyone to easily annotate data, build powerful custom CV models, leverage a wide range of powerful retrained CV models, and scale CV applications across a host of edge devices.Is the platform to pick, that can do the most for the many. From business users to developers and data scientists, Google has powerful CV tools that all of them can use.We are honored to be a leader in this Forrester Wave™, and look forward to continuing to innovate and partner with you on your digital automation journey. Download the full Forrester New Wave™: Computer Vision Platforms, Q4 2019 report here.To learn more about Google Cloud, visit our website, and sign up for a free trial.
Quelle: Google Cloud Platform
