在 英语 中使用 Data warehousing 的示例及其翻译为 中文
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We're a mixed group of experienced data lovers, skilled in data cleaning, data warehousing, data analytics, data management and data science.
Data Warehousing is defined as a system used for reporting and data analysis and is considered a core component of business intelligence.
So many people see big data as a necessary extension of their existing BI functions, data warehousing platforms, and information architecture.
While this term conventionally refers to legacy data warehousing processes, some of the same concepts apply to data entering the big data system.
The P420m accelerates performance of today's demanding data center applications, including online transaction processing(OLTP), data warehousing and virtualization.
SQL Server 2008 also delivers improved performance in many areas, including data warehousing, reporting, and analytics.
From the 1990s onwards, e-commerce would additionally include enterprise resource planning systems(ERP), data mining and data warehousing.
Which is why many see big data as an integral extension of their existing business intelligence capabilities, data warehousing platform, and information architecture.
The elaborate and intricate data capturing and processing techniques are the main sources for organizations to establish an effective and efficient data warehousing facility.
These changes support new scenarios such as running e-commerce large in-memory databases for online transaction processing(OLTP) and data warehousing(DW).
Beginning in the 1990s, electronic commerce would include enterprise resource planning systems(ERP), data mining and data warehousing.
Databases, and data warehousing in particular, remain strong on Unix, she said.
Technologies like Hadoop and data warehousing were invented ten years ago and predated the age of AI, stream processing, and in-memory or flash technologies.
Fully managed data warehousing, batch and stream processing, data exploration, Hadoop/Spark, and reliable messaging.
Other data warehousing solutions have opted to provide connectors with Hadoop, rather than integrating their own MapReduce functionality.
The center's staff will specialize in data warehousing and business-intelligence software, and will offer superior capability in end-to-end enterprise data warehouse implementation.
Oracle's Data Warehousing Guide expands upon Inmon's four characteristics in a number of ways.
It additionally frees up data warehousing teams to concentrate on the more strategic work of analysis and data output.
Hadoop is more of a data warehousing system- so it needs a system like MapReduce to actually process the data. .