Examples of using Data warehousing in English and their translations into German
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Computer
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Political
The technical term for such an area of application is data warehousing.
Data warehousing requires that all data is complete and free of errors and redundant items.
You want to design and implement data warehousing and a reporting database. Our expertise.
This Data Warehousing and Business Intelligence solution allows detailed analysis across all available dimensions.
Persistent clusters are ideal for data analysis, data warehousing, or any other interactive use.
Stop by booth 309 to see why arcplan andTeradata equal a powerful combination for BI and data warehousing.
As an expert in business intelligence and data warehousing, he previously worked in various positions as a manager, consultant and trainer.
SAS is one of the worldwide leading suppliers of Business Intelligence,Business Analytics and Data Warehousing solutions.
Particularly in Data Warehousing, knowledge management is in demand: Technical metadata is often scarce and can be obtained in this manner.
You can earn certifications for your expertise in data governance, data migration,and enterprise data warehousing projects at two levels.
While data warehousing in the cloud provides a great boost in agility, it doesn't eliminate fundamental data management challenges.
Terms such as Business Intelligence, Business Analytics, Data Warehousing or Software Engineering describe the technical facets of our projects.
Data warehousing helps to determine the best settings to apply and to carry out adequate preventative measures.
The Oracle Database Appliance is designed for midsize organizations anddepartmental systems to serve online transaction processing(OLTP) and data warehousing applications.
Data warehousing enables information systems that are distributed worldwide to be linked and, through standardization of the data they contain, made accessible for analyses.
Objective of themodule/skills: Current module provides basics of business intelligence with focus on enterprises and strong emphasis on data warehousing technologies.
Customer data needed for effective data warehousing is distributed around different systems, redundant data dilutes the customer view, and golden records cannot be created.
Uniserv solutions help you to transfer your data smoothly and free of redundant entries into other systems( data integration) for optimal data warehousing in your IT infrastructure.
For example, using disk space for data warehousing, email storage, backups of emails accounts, backups of all or part of any computing, telecommunications or mobile device or other forms of mass data storage.
As a BI specialist with established professionalexpertise and the utmost technical competence, we can support you in all issues surrounding business intelligence and data warehousing.
He has proven leadership in designing anddeveloping Business Intelligence/ Data Warehousing and Analytics solutions, across multiple industries and platforms.
Amazon EMR uses Hadoop processing combined with several AWS products to do such tasks as web indexing, data mining, log file analysis, machine learning,scientific simulation, and data warehousing.
Of course, business intelligence and data warehousing have been used for years to evaluate bulk data or corporate figures, but these technologies reach their limits when the data involved is ever more ephemeral, unstructured and high-volume.
Characteristics or indicators for software and data infrastructure, such as the focus on Big Data Analytics,naming data warehousing, the likely use of APIs.
For electronically supplied services(such as cloud services, data warehousing, website hosting), the application of the prohibition of discrimination is delayed until mid-2018 in light of their specific characteristics and in order to allow these service providers to prepare for the changes.
This investment supports us in ourmission to handle complex and sizeable data affordably and with ease and take down the borders between data warehousing and live production datasets.
NiceWatch Enterprise Overview Today organizations use a wide variety of information systems,like enterprise resource planning or data warehousing solutions, where business-critical data is stored.
Mr. Gadiraju is a proven software services industry veteran with more than 25 years of experience in client relations, business development, program management, applications development, maintenance, support,enterprise data warehousing, and analytics experience.