NORCOM WKN: A12UP3 ISIN: DE000A12UP37 Kürzel: NC5A Forum: Aktien Thema: Hauptdiskussion

Ich sehe die 30 eher als Unterstützung.

Was meint Ihr 28 kommt noch?

@Laube: Vielleicht bist du so nett und könntest für mich mal die Charttechnik zu folgender Aktie machen. Ist auch nicht dringend, wäre nur interessant, da meiner Meinung nach eine Steigerung von 50% durchaus drin wäre, wenn sich der Dieselskandal wieder gelegt hat. A0JL31

Aber das entfällt doch durch eine Cloud.. An outstanding feature of DaSense, working with globally distributed data, has been patented by NorCom.

Danke dalli. Steck nicht so tief drin ;)

Bid oder ask

Wer will hier auf L&S jetzt 3000 Stück

DaSense basiert auf Hadeoop :)

Danke dalli. Das heißt hadoop hat dasense ersetzt

Endlich hat's einer kapiert:)

Wenn ich das richtig interpretiere, machen aber den großen Reibach die Cloud-Anbieter https://www.fool.com/investing/2018/07/19/1-big-catalyst-for-microsofts-cloud-computing-busi.aspx

https://asia.nikkei.com/Business/Business-Deals/SoftBank-builds-data-empire-to-challenge-US-tech-giants

6). Hadoop Operations are Simplified Once clusters are consolidated by the organization, one thing remains the same that is resources isolation by multiple sets of users. Users need to bunch the MapReduce jobs in a shared cluster and this is the job of administrators here to handle the multi-tenancy issues like interference of jobs with one another and managing security constraints too. The one and most typical solution to the problem is to enforce data policies at the cluster level that will avoid users to perform any harmful activities with other user jobs. With this approach, the secured use cases will also be safe. This activity is common for the administrators to protect the data from harm and unwanted access.  Also, Companies need to spend heavy amount to manage the resources in a clustered manner. With the help of a cloud, this is possible for users to configure clusters with varied characteristics and features. Each cluster is suitable for a particular set of jobs and this is possible to manage to complicated cluster policies without any multi-tenancy issues. In brief, the right configuration is available for multiple jobs.

Hat anscheinend nur Vorteile 5). Runs Closer to the Data Every time when businesses are planning to move their data to the cloud, they had to follow the standard process for a successful migration. At the same time, there is a need for proper data analytics techniques where large data sets can be managed efficiently and the overall time for migration can be reduced. Here, running the clusters of Hadoop in the cloud environment is just the wonderful choice to solve the problem. Combine cloud benefits with data locality principle of Hadoop at the Macro level.

4). Variable Resources managed perfectly One of the amazing solutions is running Hadoop on the cloud. It will suggest the proper scheduling techniques and make you avail with necessary computing resources. Intuitively, the cloud is the more adaptable solution to handle the variable resources requirements when compared to other IT techniques.

Gründe: Innovation Costs are Reduced Resources are procured faster Batch Workloads are managed efficiently Variable Resources managed perfectly Runs Closer to the Data Hadoop Operations are Simplified