[2] CHANG F, DEAN J, GHEMAWAT S, et al. Bigtable: A Distributed Storage System for Structured Data[J]. 7th USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2006: 205–218. [3] IBARAKI T, KAMEDA T. On the Optimal Nesting Order for Computing N-relational Joins[J...
This is where data sits prior to being scrubbed and transformed into a data warehouse / data mart. Having one common area makes it easier for subsequent data processing / integration. ETL Layer This is where data gains its "intelligence", as logic is applied to transform the data from a...
Meta Data used in Data Warehouse for a variety of purpose, including: Meta Data summarizes necessary information about data, which can make finding and work with particular instances of data more accessible. For example, author, data build, and data changed, and file size are examples of very ...
A modern data warehouse can accommodate both structured and unstructured data. By merging these data types and breaking down silos between the two, businesses can get a complete, comprehensive picture for the most valuable insights. Some key terms ...
Data warehouse is playing a more and more important role in company's decision making; it is the basis for a typical business intelligence solution. The paper points out the reasons why data warehouse projects failed and by analyzing the current data warehouse architectures, as well as ...
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Amazon Redshift is based on PostgreSQL. Amazon Redshift and PostgreSQL have a number of very important differences that you need to take into account as you design and develop your data warehouse applications. For information about how Amazon Redshift SQL differs from PostgreSQL, seeAmazon Redshift...
An enterprise data warehouse is acentralized digital repository. It gathers, polishes, and stores vast amounts of data from every department of an enterprise. With a data warehouse, all the data is right there, always ready for analysis. So, instead of rummaging through multiple, disjointed da...
Important: Lifecycle Query Engine (LQE) is supported as a data source for reporting on projects with or without configurations; however, there are considerations. Figure 1. Data Warehouse details The data warehouse contains two data areas: The Operational Data Store (ODS), whic...