Setup Flashback Database on Data Guard Physical Standby
... Many studies show that 40% of application outages are caused by operator or user errors. Making mistakes is just part of being human. But these errors are extremely difficult to avoid and can be very difficult to recover from without advance planning and the right technology. Such errors can result ...
... Many studies show that 40% of application outages are caused by operator or user errors. Making mistakes is just part of being human. But these errors are extremely difficult to avoid and can be very difficult to recover from without advance planning and the right technology. Such errors can result ...
Chapter 3
... • The alert log is essential because it will contain all the essential information for the smooth running of your database – All critical errors will be written to the alert log ...
... • The alert log is essential because it will contain all the essential information for the smooth running of your database – All critical errors will be written to the alert log ...
Auditing Compliance with a Hippocratic Database
... disclosure policies might be to support data disclosure auditing by physically logging the results of each query. Problems with this approach include the following: it imposes a substantial overhead on normal query processing, particularly for queries that produce many results, and the actual disclo ...
... disclosure policies might be to support data disclosure auditing by physically logging the results of each query. Problems with this approach include the following: it imposes a substantial overhead on normal query processing, particularly for queries that produce many results, and the actual disclo ...
Chapters 2,3,6,7,8,9,15
... the schema levels in a database system. Most DBMSs do not separate the three levels completely and explicitly, but support the three-schema architecture to some extent. Some older DBMSs may include physical-level details in the conceptual schema. The three-level ANSI architecture has an important pl ...
... the schema levels in a database system. Most DBMSs do not separate the three levels completely and explicitly, but support the three-schema architecture to some extent. Some older DBMSs may include physical-level details in the conceptual schema. The three-level ANSI architecture has an important pl ...
FAQ: Oracle Database Appliance
... system, and firmware in a simple process. Q: What different high availability software configurations are available for the Oracle Database Appliance? A: Customers can configure single instance (with Oracle Database Enterprise Edition) or clustered database ...
... system, and firmware in a simple process. Q: What different high availability software configurations are available for the Oracle Database Appliance? A: Customers can configure single instance (with Oracle Database Enterprise Edition) or clustered database ...
Document
... Rather than modify compiler, add library with database calls (API) • Special standardized interface: procedures/objects • Pass SQL strings from language, presents result sets in a language-friendly way • Sun’s JDBC: Java API • Supposedly DBMS-neutral ...
... Rather than modify compiler, add library with database calls (API) • Special standardized interface: procedures/objects • Pass SQL strings from language, presents result sets in a language-friendly way • Sun’s JDBC: Java API • Supposedly DBMS-neutral ...
Feeding the Active Data Warehouse
... The typical sandbox application involves a collection of data on which in-depth exploratory analysis needs to be done to answer one or more critical business question. Such analysis might be a one-off event. The data is dropped in for a brief period of time, it’s scrutinized, and then it’s disposed ...
... The typical sandbox application involves a collection of data on which in-depth exploratory analysis needs to be done to answer one or more critical business question. Such analysis might be a one-off event. The data is dropped in for a brief period of time, it’s scrutinized, and then it’s disposed ...
Teradata Studio Express User Guide
... affiliates in the United States and other countries. Adaptec and SCSISelect are trademarks or registered trademarks of Adaptec, Inc. AMD Opteron and Opteron are trademarks of Advanced Micro Devices, Inc. Apache, Apache Avro, Apache Hadoop, Apache Hive, Hadoop, and the yellow elephant logo are either ...
... affiliates in the United States and other countries. Adaptec and SCSISelect are trademarks or registered trademarks of Adaptec, Inc. AMD Opteron and Opteron are trademarks of Advanced Micro Devices, Inc. Apache, Apache Avro, Apache Hadoop, Apache Hive, Hadoop, and the yellow elephant logo are either ...
Query Planning for Searching Inter-dependent Deep
... and error-prone process. Recently, there has been a lot of work on developing deep web mining systems [6, 7, 14, 15, 19, 31, 38]. Most of these systems focus on query interface integration and schema matching. A challenge associated with deep web systems, which has not received attention so far, ari ...
... and error-prone process. Recently, there has been a lot of work on developing deep web mining systems [6, 7, 14, 15, 19, 31, 38]. Most of these systems focus on query interface integration and schema matching. A challenge associated with deep web systems, which has not received attention so far, ari ...
redo – to revise or reconstruct -
... violating a uniqueness constraint greatly impacts the redo generated. The number of rows conventional-path SQL*Loader attempts to load per batch is a function of the BINDSIZE and ROWS parameters. For example, if you attempt to load 1000 rows using conventional-path SQL*Loader and ROWS=100 then Oracl ...
... violating a uniqueness constraint greatly impacts the redo generated. The number of rows conventional-path SQL*Loader attempts to load per batch is a function of the BINDSIZE and ROWS parameters. For example, if you attempt to load 1000 rows using conventional-path SQL*Loader and ROWS=100 then Oracl ...
Chapter 6: Entity-Relationship Model
... Example: Suppose employees of a bank may have jobs (responsibilities) at multiple branches, with different jobs at different branches. Then there is a ternary relationship set between entity sets employee, job, and branch Relationships between more than two entity sets are rare. Most ...
... Example: Suppose employees of a bank may have jobs (responsibilities) at multiple branches, with different jobs at different branches. Then there is a ternary relationship set between entity sets employee, job, and branch Relationships between more than two entity sets are rare. Most ...
Guide to Performance and Tuning: Space Management
... examples in this article we use the default page size of 2 blocks for a MIXED format area, which yields a default SPAM interval of 216 pages3. This means that the database system can easily compute the location of SPAM pages in the example database at every 216 pages in the storage area. SPAM inter ...
... examples in this article we use the default page size of 2 blocks for a MIXED format area, which yields a default SPAM interval of 216 pages3. This means that the database system can easily compute the location of SPAM pages in the example database at every 216 pages in the storage area. SPAM inter ...
accessing databases with jdbc - Core Servlets and JavaServer Pages
... return the result in a variety of different Java types. For instance, use getInt if the value should be an integer, getString for a String, and so on for most other data types. If you just want to display the results, you can use getString for most of the column types. However, if you use the versio ...
... return the result in a variety of different Java types. For instance, use getInt if the value should be an integer, getString for a String, and so on for most other data types. If you just want to display the results, you can use getString for most of the column types. However, if you use the versio ...
Oblivious Querying of Data with Irregular Structure(cont`d)
... Querying Irregular Data? • In many cases, regular expressions can be used to query irregular data • Yet, regular expressions are – Not efficient – it is difficult to evaluate regular ...
... Querying Irregular Data? • In many cases, regular expressions can be used to query irregular data • Yet, regular expressions are – Not efficient – it is difficult to evaluate regular ...
Key/Value Pair versus hstore - HSR-Wiki
... that it has a lot of extensions like the geospatial extension PostGIS or the hstore mentioned before. The following chapter first describes what PostgreSQL is, then It explains the difference between key-value-pairs (KVP) as a table structure versus KVP using the hstore data type. By studying subcha ...
... that it has a lot of extensions like the geospatial extension PostGIS or the hstore mentioned before. The following chapter first describes what PostgreSQL is, then It explains the difference between key-value-pairs (KVP) as a table structure versus KVP using the hstore data type. By studying subcha ...
Introduction to ERDs
... Be able to suggest criteria that entity types should conform to Be aware of the use of workshops and informal ERDs to develop ERDs in a group setting Be able to provide a definition of relationship within the ERD context Be able to describe the Parent/Child concept Be able to provide an example of h ...
... Be able to suggest criteria that entity types should conform to Be aware of the use of workshops and informal ERDs to develop ERDs in a group setting Be able to provide a definition of relationship within the ERD context Be able to describe the Parent/Child concept Be able to provide an example of h ...
Chapter 15: Transactions Transaction Concept ACID Properties
... ! Atomicity. Either all operations of the transaction are properly reflected in the database or none are. ! Consistency. Execution of a transaction in isolation preserves the consistency of the database. ! Isolation. Although multiple transactions may execute concurrently, each transaction must be u ...
... ! Atomicity. Either all operations of the transaction are properly reflected in the database or none are. ! Consistency. Execution of a transaction in isolation preserves the consistency of the database. ! Isolation. Although multiple transactions may execute concurrently, each transaction must be u ...
Chapter 4: SQL
... Null Values and Three Valued Logic Any comparison with null returns unknown E.g. 5 < null or null <> null or null = null Three-valued logic using the truth value unknown: OR: (unknown or true) = true, (unknown or false) = unknown (unknown or unknown) = unknown AND: (true and unknown) = un ...
... Null Values and Three Valued Logic Any comparison with null returns unknown E.g. 5 < null or null <> null or null = null Three-valued logic using the truth value unknown: OR: (unknown or true) = true, (unknown or false) = unknown (unknown or unknown) = unknown AND: (true and unknown) = un ...
ppt
... To preserve integrity of data, the database system must ensure: Atomicity. Either all operations of the transaction are properly reflected in the database or none are. Consistency. Execution of a transaction in isolation preserves the consistency of the database. Isolation. Although multiple t ...
... To preserve integrity of data, the database system must ensure: Atomicity. Either all operations of the transaction are properly reflected in the database or none are. Consistency. Execution of a transaction in isolation preserves the consistency of the database. Isolation. Although multiple t ...
Chapter 7: Relational Database Design
... View Serializability Let S and S´ be two schedules with the same set of transactions. S and S´ are view equivalent if the following three conditions are met: 1. For each data item Q, if transaction Ti reads the initial value of Q in schedule S, then transaction Ti must in schedule S´, also read t ...
... View Serializability Let S and S´ be two schedules with the same set of transactions. S and S´ are view equivalent if the following three conditions are met: 1. For each data item Q, if transaction Ti reads the initial value of Q in schedule S, then transaction Ti must in schedule S´, also read t ...
ETL Tool Evaluation Guide
... view will be generated, the data will be moved, it is just the name of the field in the view will be a ‘typo’. Being truly ‘codeless’ is a major difference and a major factor in SeETL being so productive. PR07: Are the ‘code’ and the data structures separated? Experience tells us that separating alg ...
... view will be generated, the data will be moved, it is just the name of the field in the view will be a ‘typo’. Being truly ‘codeless’ is a major difference and a major factor in SeETL being so productive. PR07: Are the ‘code’ and the data structures separated? Experience tells us that separating alg ...