Examples of using Data technologies in English and their translations into German
{-}
-
Colloquial
-
Official
-
Ecclesiastic
-
Medicine
-
Financial
-
Ecclesiastic
-
Political
-
Computer
-
Programming
-
Official/political
-
Political
Modern data technologies harbor risks as well, however.
What are the concepts underlying Big Data technologies?
Good experience with Big Data technologies in the cloud environment MS Azure HDInsights or Amazon AWS EMR.
The Smart Data Forum gives insights into smart data technologies.
High complex Big Data Technologies are used, which have to be operated by several IT experts.
You should possess basic knowledge of big data technologies, like.
Deploying and managing big data technologies can be complicated, costly and requires expertise that is hard to find.
According to experts, one cannot win the US Elections without smart data technologies.
First experience with Big Data technologies like Hadoop, Hive, Spark, Kafka, Cassandra; also in the cloud environment.
Discover, interpret and communicate meaningful patterns and insights from data Technologies Analytics.
These patterns ultimately refer not only to data technologies, but also to travel patterns, time patterns, spatial patterns, world patterns.
Your browser and your device may provide you the option to limitthe use of cookies or other Data Technologies.
It is not just a question of‘whether' but rather‘how' future data technologies and social protection should be further developed.
The insurance industry(K65) is also well positioned in the digital arena,due to the increasing use of Big Data technologies.
Comparison of big data technologies for the implementation of BCBS 239 in the context of total bank management Bachelor Thesis Business Information Systems.
Trivadis masters in equal measure both traditional and new big data technologies, as well as complex analytics.
Moog Industrial Group designs and manufactures highly reliable products,solutions and services using motion control and power/data technologies.
Used responsibly, AI and data technologies can enable companies to make their operations more efficient as well as improve the customer experience.
These areas are: 5G, cloud computing,internet of things, data technologies and cybersecurity.
Information collected by Data Technologies may be used on this or on other websites or services, including those that may not be operated by us.
Furthermore, EUROSOC DIGITAL combines scenario planning methods andpublic participation processes with the project's big data Technologies.
Thanks to using Big Data technologies for our tracking backend, we are now capable of analyzing player interaction with considerably more details.
Integrating data and implementing solutions basedon leading products in the market, simultaneously optimise the potential of big data technologies.
These real-life examples prove that the use of big data technologies can provide significant added value to the business and lead to a competitive advantage.
With big data technologies, companies can improve their customer service because of being able to address both the wishes and the problems of customers in a more targeted way.
Johannes Kunze Senior Solution Architect at GfK Thanks to using Big Data technologies for our tracking backend, we are now capable of analyzing player interaction with considerably more details.
Intelligent Business Strategies Director and big data consultant, Mike Ferguson,reviews current and emerging big data technologies, and presents 10 key requirements for big data analytics success.
The information collected by Data Technologies may be shared with and used by us, by others acting on our behalf, or by third parties subject to their own privacy policies.
We may partner with advertising networks,which may use information collected through a variety of data technologies to provide customization, auditing, research and reporting for us and other advertisers.
In addition to communication and cooperation systems, we focus on professional training, intelligent mobility,big data technologies for scalable analysis of heterogeneous data, and on innovative solutions for interaction and visualization using Mixed and Augmented Reality.