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The downtime with this method is dependent on how fast the files can be transferred to the Database Machine, the time to run the RMAN CONVERT command, and the time to execute the transport script

In listing 1, we can observe how our data model can be implemented as an XML Schema from the perspective of the Album entity: a Discography contains one or more Albums, which contain one or more Tracks written by one or more Authors and performed by one or more Bands. Because we ll be using a separate XML Schema for the Band entity, we can leave out the Band Members from the Album definition, clearly eliminating unnecessary data redundancy, as shown in listing 2.

Name: ISEE Call/Put Ratio Where to find: wwwisecom/isee Time period: Daily volume The Lighter Side: The Call/Put Ratio, which I nicknamed Speculators II, also tracks the buying and selling of options, but with whole numbers Once again, you ll probably do well if you bet against the speculators, but you already knew that

<xs:schema xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:mb="http://schemas.milambda.net/Music-Band" xmlns:m="http://schemas.milambda.net/Music" elementFormDefault="qualified" attributeFormDefault="qualified" targetNamespace="http://schemas.milambda.net/Music-Band"> <xs:import namespace="http://schemas.milambda.net/Music" schemaLocation="common.xsd"/> <xs:element name="bands"> <xs:complexType> <xs:sequence> <xs:element name="band" maxOccurs="unbounded"> <xs:complexType> <xs:sequence> <xs:element name="member" type="m:person" maxOccurs="unbounded"/> </xs:sequence> <xs:attribute name="bandName" type="m:bandName" use="required"/> <xs:attribute name="established" type="xs:dateTime" use="required"/> <xs:attribute name="disbanded" type="xs:dateTime" use="optional" default="9999-12-31T00:00:00.000"/> </xs:complexType> </xs:element> </xs:sequence> </xs:complexType> </xs:element> </xs:schema>

Logical migration methods will extract the data out of the source database and load it into the destination database, using utilities that interface through the SQL layer Logical methods are more flexible than the physical methods, but generally require longer downtimes to perform the migration The main benefit of using logical methods is that they allow you to implement the Database Machine best practices during the migration process If you implement the best practices after the migration, as the case will be when you use physical methods, the data needs to be reorganized using a process that could require another system outage The key characteristics of logical methods are

In listing 2 we can observe how the data model can be implemented from the perspective of the Band entity: a Discography is a collection of one or more Bands, containing one or more Members. This way, each individual Band entity can exist independently of any Album entity, but the consistency of the Discography as a whole remains intact as long as each Album entity references the appropriate Band entity (or entities). In listings 1 and 2 we can observe that both XML Schemas import a third one. This is due to yet another simplification, based on the fact that both the Album and the Band

The International Securities Exchange (ISE) Sentiment Index (ISEE) Call/Put Ratio tracks the call and put options of opening long transactions that trade on the International Securities Exchange The ISEE Call/Put Ratio tends to be a contrarian indicator, which means when the indicator hits the bullish or bearish extremes, it s time to do the opposite

Logical methods enable migration of subsets of data and also allow you to implement the database best practices during the migration process Logical methods will allow you to perform a database upgrade during the migration process Logical migrations generally incur longer downtimes, with the exception of the GoldenGate and the Data Guard logical standby methods

The entities are implemented as XML elements. Their attributes are implemented as XML attributes of the XML element implementing the corresponding entity. The relationships between the entities are implemented in the structuring of the XML, and the nesting of XML elements. For example, following the logical model rule, which states that the Discography entity contains Album entities, the Album element is placed inside the Discography element, and because an Album entity contains Track entities, the latter are represented by elements nested inside the Album element.

XML Schemas use a shared collection of types. These shared types are defined in the Common XML Schema, shown in listing 3. For instance, the Person entity is present in the Album XML as well as the Band XML; therefore both can use the same type for the Person entity, rather than explicitly implementing two separate types with the same set of properties. Listing 3 Common XML Schema