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Antarctica is a huge ice cap centered at the Earth s south geographic pole All the continental land mass, with the exception of a small peninsula that reaches northward toward South America, is covered by water ice throughout the year This ice extends offshore into the sea for a considerable distance in some places It is April, early autumn in the Earth s southern hemisphere We are concerned about the possibility of high winds upsetting our craft and low temperatures straining our life-support systems if we land on the ice cap itself We therefore decide to land at the tip of the Antarctic Peninsula that juts northward This is not only the northernmost point on the continent, but it is largely surrounded by ocean, which, we hope, would keep temperatures from dropping too low As we approach the surface, it becomes apparent that this landing is going to make our North Atlantic excursion seem tame by comparison We see snow (small flakes of water ice) rushing horizontally along the surface, driven by a wind of hurricane force When we land, a gust almost knocks our craft off its landing gear and onto its side Despite this wind, small black-and-white bipedal animals, looking like birds but acting more like bipedal ant children, run around, seemingly unaffected by the tempest They jump in and out of the water, and some of them waddle up to our vessel and then stand there watching us, as if they expect us to come out and play in the water with them We reject this option The temperature is 37 C ( 35 F) The gale increases steadily We decide to return to the main ship before the storm plucks our landing vessel up and rolls it across the bleak, rocky terrain It never crosses our minds to venture outside into these conditions,.

Until the past decade, developing physical data models for large-scale Oracle data warehouses was largely undertaken from the ground up by IT organizations or consulting services companies Today, Oracle and a number of Oracle s partners have physical data models that are extremely useful in solving problems and serve as starting points in deployment While many businesses and organizations start with such standard data models, most will customize them to reflect their own unique needs and strategies Of course, these models can be deployed as schema in the database or databases on the Oracle Exadata Database Machine

This will cause the following lines to be written to web.config:

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which seem, despite the hospitable atmosphere, more severe than the worst storms we have ever seen on Sol 4 (Mars) Thus we blast off, struggling to maintain stability, and we are relieved when we reach the stratosphere and spot our main ship, the Dragon, as a bright dot in the sky

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Examples of Oracle s physical data models for industries include data models in communications, finance, healthcare, retail, and utilities The models range in schema type from completely third normal form for enterprise data warehouse solutions to analytics models that resemble star schemas more aligned for business intelligence self-discovery In some industries, Oracle offers complementary models that address both sets of needs Oracle also has horizontal Oracle Business Intelligence Applications that address areas such as sales, marketing, service and contact centers, pricing, loyalty, financials, procurement and spend, supply chain and order management, projects, and human resources The horizontal models are star schemas with conformed (common) dimensions that enable queries across the various models The Business Intelligence Applications also come with prebuilt ETL available for sources such as Oracle s own suite of enterprise resource planning (ERP) applications and Siebel CRM

<connectionStrings> <add name="AdventureWorksConnectionString" connectionString="Data Source=.\SqlExpress; Initial Catalog=AdventureWorks;Integrated Security=True" providerName="System.Data.SqlClient"/> </connectionStrings>

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