Schwerer Schlag für die Branche: Mit dem Autoversicherer HUK-Coburg verlässt ein großes Unternehmen komplett die Vergleichsportale im Internet. Nicht nur, weil diese zu teuer seien. (Verbraucherschutz, Internet)
Quelle: Golem
Drei Antennen für schnelles WLAN: der RT-AC86U ist ein Gaming-Router, der durch hohe Datenraten überzeugen soll. Er priorisiert automatisch Netzwerkpakete von Spielen und hat eine integrierte Security-Software. 1024QAM soll die Datenraten nochmals erhöhen – in der Theorie. (Asus, WLAN)
Quelle: Golem
Die ARM-Chips in Smartphones lassen sich mittels Stromsparfunktionen angreifen, um Zugriff auf Informationen in der Trustzone der Geräte zu erlangen. Damit ließe sich Verschlüsselung knacken, die sogar vor Angreifern mit Root-Rechten sicher sein sollte.
Quelle: Heise Tech News
If you’re interested in querying log file and gaining insights through Hive LLAP, please try HDInsight Tools for Visual Studio Code (VSCode). If you’re looking for data warehouse query experiences for big data, please try HDInsight Tools for VSCode. If you are a data scientist looking for interactive tools and BI applications for big data, we suggest you try HDInsight Tools for VSCode. If you’re a python developer for HDInsight Spark, we ask you to try HDInsight Tools for VSCode!
Along with the general availability of Hive LLAP, we are pleased to announce the public preview of HDInsight Tools for VSCode, an extension for developing Hive interactive query, Hive Batch jobs, and Python PySpark jobs against Microsoft HDInsight! This extension provides you a cross-platform, light-weight, and keyboard-focused authoring experience for Hive & Spark development.
HDInsight Tools for VSCode not only empowers you to gain faster time to insights through interactive responses, cache in memory and higher levels of concurrency from Hive LLAP, but also offers you a great editor experiences for your Hive query and PySpark job with simple getting started experiences.
Key customer benefits
Interactive responses with flexibility to execute one or multiple selected Hive scripts.
Preview and export your Hive interactive query results to csv, json, and excel format.
Built in Hive language service such as IntelliSense auto suggest, auto complete, error marker, among others.
Python authoring with language service and HDInsight PySpark job submission.
Integration with Azure for HDInsight cluster management and query submissions.
Link with Spark UI and Yarn UI for further trouble shooting.
How to start HDInsight Tools for VSCode
Simply open your Hive or Python files in your HDInsight workspace and connect to Azure. You can then start to author your script and query your data.
How to install or update
First, install Visual Studio Code and download Mono 4.2.x (for Linux and Mac). Then get the latest HDInsight Tools by going to the VSCode Extension repository or the VSCode Marketplace and searching “HDInsight Tools for VSCode”.
For more information about Azure Data Lake Tool for VSCode, please see:
User Manual: HDInsight Tools for VSCode
Demo Video: HDInsight for VSCode Video
Hive LLAP: Use Interactive Query with HDInsight
Learn more about today’s announcements on the Azure blog and Big Data blog. Discover more Azure service updates.
If you have questions, feedback, comments, or bug reports, please use the comments below or send a note to hdivstool@microsoft.com.
Quelle: Azure
Private Schlüssel von Cloudflare-Kunden sollen künftig nur noch in bestimmten Regionen gespeichert werden – wenn die Nutzer das wollen. Außerdem soll es beim DDoS-Schutz keine Begrenzungen mehr geben. (Cloudflare, Datenschutz)
Quelle: Golem
Das WordPress-Team schließt diverse Sicherheitslücken und härtet das CMS zusätzlich gegen SQL-Injection-Attacken.
Quelle: Heise Tech News
Klingonen sind jetzt gruseliger, Lens Flares sind immer noch in und die Geschichte hat Potential: Die ersten beiden Folgen von Star Trek Discovery sind ausgestrahlt worden. Neu-Trekkies könnte der vielversprechende Serienstart aber etwas überfordern. Eine Rezension von Tobias Költzsch (Star Trek, Internet)
Quelle: Golem
Das Video-Portal Vimeo übernimmt den Video-Dienstleister Livestream und startet mit "Vimeo Live" eine neue Streaming-Plattform. Allzu günstig ist das Angebot für Produzenten jedoch nicht.
Quelle: Heise Tech News
Nach dem gewaltigen Datendiebstahl bei der Wirtschaftsauskunftei Equifax konnte sich auch der Unternehmensschef nicht mehr auf seinem Posten halten. Richard Smith nahm auch nach massiver Kritik an seinem Unternehmen nun den Hut.
Quelle: Heise Tech News
Transparency is an important virtue of any cloud service. Azure Cosmos DB is the only cloud service that offers 99.99% SLAs on availability, throughput, consistency, and <10ms latency, and we transparently show you metrics on how we perform against this promise. Over the past year, we have made a number of investments to help you monitor and troubleshoot your Azure Cosmos DB workloads. Today we're announcing a few more metrics we added recently, as well as integration of our metrics with the Azure Monitor, OMS, and a preview of Diagnostics logs.
Elastic scale, partition key heatmaps, and "hot" partitions
Azure Cosmos DB offers limitless elastic scale. We don't ask you how many VMs or instances you want, etc. Instead, we just ask you how much throughput you need, and we transparently and elastically scale your collections as your data grows. To enable elastic scale, we ask you what partition key you would like us to use.
The latter is a very important piece of information. Our promise to you is: if you select a partition key that has data evenly distributed over the partition key value space, we will ensure that you're taking advantage of the entire provisioned throughput. However, if all your records come in with the same partition key value, say you forgot to set it, so the value is null, you will only get 1/Nth of the provisioned throughput, where N is the current number of physical partitions created for your collection. So, if you provisioned 10000 RU/s for your collection that has 10 physical partitions, did not choose the partition key wisely, you may end up with only 1000 RU/s provisioned throughput available for your requests.
How do you know if your partition key choice is good? We help you figure it out in three simple steps.
Check if your operations are getting throttled. Look at the "Requests exceeding capacity" chart on the throughput tab.
Check if consumed throughput exceeds the provisioned throughput on any of the physical partitions (partition key ranges), by looking at the "Max RU/second consumed per partition" metric.
Select the time where the maximum consumed throughput per partitions exceeded provisioned on the chart "Max consumed throughput by each partition" to investigate the per-partition distribution of the consumed throughput at that time.
Sometimes it’s also helpful to look at the data distribution across partitions. You can see this chart on the storage tab. You can click on individual partition key ranges and find out the dominant partition keys in that range. You can further select a key and click “Open in Data Explorer” to see the corresponding data.
Here is a quick Azure Friday video on this topic:
For more information on using the new metrics, see Monitoring and debugging with metrics in Azure Cosmos DB.
Database audit and OMS integration
We are excited to announce Diagnostics Logs for data plane operations, which enable you to get a full audit of who accessed your Azure Cosmos DB collections and when. In the Azure portal, navigate to the Diagnostics Log menu on the left navigation bar, select your Azure Cosmos DB account, and turn the diagnostics log on. You can also export these logs to an Azure Storage account, stream them to an Event Hub, or send them to Log Analytics and an Operations Management Suite. For instructions on turning on diagnostic logs, see Azure Cosmos DB diagnostic logging.
Azure Monitor
Today we also announced the availability of a subset of Azure Cosmos DB metrics via Azure Monitor API. Now you can use tools like Grafana to access your metrics, with Operations Management Suite integration coming soon.
Play with Azure Cosmos DB and let us know what you think
Azure Cosmos DB is the database of the future. It’s what we believe to be the next big thing in the world of massively scalable databases! It makes your data available close to where your users are, worldwide. It is a globally distributed, multi-model database service for building planet-scale apps with ease, using the API and data model of your choice. You can try Azure Cosmos DB for free today, no subscription or credit card required.
If you need any help or have questions or feedback, please reach out to us on the developer forums on Stack Overflow. Stay up-to-date on the latest Azure Cosmos DB news and features by following us on Twitter using #CosmosDB, or @AzureCosmosDB.
– Your friends at Azure Cosmos DB
Quelle: Azure
