Optimizing data access

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  • The Oracle database engine has become a huge piece of software. This not only means that a single human can no longer be roficient in using all the features provided in recent versions, but it also means that some of them will rarely be used. Actually, in most situations, it is enough to know and take advantage of a limited number of core features in order to use the Oracle database engine efficiently and successfully.

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  • The data center is a key resource. Many organizations simply shut down when employees and customers are unable to access the servers, storage systems, and networking devices that reside there. Literally, millions of dollars can be lost in a single hour of down time for some businesses, such as large banks, airlines, package shippers, and online brokerages. Given these consequences, reliability is a key data center attribute. Another is flexibility. Tomorrow’s requirements may not be the same as today’s.

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  • Nearly a decade has passed since the publication of the first edition. Many instructors have used the first edition to teach master's and Ph.D. students. Based on their feedback and our own teaching experience, it became clear that we needed to revise the book to make it more accessible to a larger audience, including upper-level undergraduates. To this end, we have expanded and reorganized the early chapters in the second edition. For example, our book now provides a self-contained presentation of regression analysis (Sections 1.4-1.

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  • Oracle allows you to define your own object data types, which you can use for creating objects, discussed in detail in Chapter 21, “Object Relational Interactions with Oracle.” Oracle also includes specialized data types for working with XML, spatial data, and media data, as well as ways to access type descriptions when the data type is not known.

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  • In Oracle8 we saw the addition of bitmap indexes, function-based indexes, as well as reverse key indexes and star index structures. We also saw the Oracle SQL optimizer becoming more intelligent about the way indexes are used by SQL statements. In Oracle9i, we have the index skip scan, the and_equal hint to combine individual indexes into a contaminated index, as well as specialized bitmap access methods to improve the speed of data warehouse queries.

    pdf46p ledung 13-03-2009 269 73   Download

  • Deliver dynamic, client/server PL/SQL applications with expert guidance from an Oracle programming professional. With full coverage of the latest features and tools, Oracle Database 11g PL/SQL Programming lays out each topic alongside detailed explanations, cut-and-paste syntax examples, and real-world case studies. Access and modify database information, construct powerful PL/SQL statements, execute effective queries, and deploy bulletproof security. You'll also learn how to implement C, C++, and Java procedures, Web-enable your database, cut development time, and optimize performance....

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  • Your data center is the most critical resource within your organization. As you know, it provides the means for all storage, management and dissemination of data, applications and communications for your business. When employees and customers are unable to access the servers, storage systems and networking devices that reside in the data center, your entire organization can shut down. Millions of dollars can be lost in a matter of minutes for businesses like banks, airlines, shipping facilities and online brokerages.

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  • Code Optimization • • • • • Optimization techniques for code efficiency Intrinsic C functions Parallel instructions Word-wide data access Software pipelining In this chapter we illustrate several schemes that can be used to optimize and drastically reduce the execution time of your code. These techniques include the use of instructions in parallel, word-wide data, intrinsic functions, and software pipelining. 8.1 INTRODUCTION Begin at a workstation level; for example, use C code on a PC.

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  • Data Grids address computational and data intensive applications that combine very large datasets and a wide geographical distribution of users and resources [1, 2]. In addition to computing resource scheduling, Data Grids address the problems of storage and data management, network-intensive data transfers and data access optimization, while maintaining high reliability and availability of the data (see References [2, 3] and references therein).

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  • In the assessment of this Office the operation of the privacy controls available to users within Facebook are complex. This is despite efforts by Facebook to simplify the settings in order to make them more easily understandable and usable. As our analysis in this Section and other sections demonstrate there are a multitude of different controls that must be accessed by the user to express their preference in relation to the use of their personal data. In addition to the controls available from the privacy settings, there are separate and distinct controls for Apps, for Ads...

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  • The Greenplum Database parallel query optimizer (Figure 6) is responsible for converting SQL or MapReduce into a physical execution plan. It does this by using a cost-based optimization algorithm to evaluate a vast number of potential plans and select the one that it believes will lead to the most efficient query execution. Unlike a traditional query optimizer, Greenplum’s optimizer takes a global view of execution across the cluster, and factors in the cost of moving data between nodes in any candidate plan.

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  • Greenplum’s Polymorphic Data Storage performs well when combined with Greenplum’s multi-level table partitioning. With Polymorphic Data Storage, customers can tune the storage types and compression settings of different partitions within the same table. For example, a single partitioned table could have older data stored as “column-oriented with deep/archival compression,” more recent data as “column-oriented with fast/light compression”, and the most recent data as “read/write optimized” to support fast updates and deletes.

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  • The product type of the Target of Evaluation (TOE) described in this ST is a database management system (DBMS) with the capability to limit TOE access to authorized users, enforce Discretionary Access Controls on objects under the control of the database management system based on user and/or role authorizations, and to provide user accountability via audit of users‘ actions. A DBMS is a computerized repository that stores information and allows authorized users to retrieve and update that information.

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  • To test the model’s predictions we use a sample of Dutch households. In the Fall of 2003 we included some specific questions on trust, attitudes towards risk, ambiguity aversion, and optimism to a sample of 1,943 Dutch households as part of the annual Dutch National Bank (DNB) Household survey. These data were then matched with the 2003 wave of the DNB Household Survey, which has detailed information on households’ financial assets, income, and demographics.

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  • In this example, the intruder was connected to a corporate LAN and did a lot of work with another researcher on a different LAN. The backbone was set up in such a way that it took five hops and a 56-kbps line to get to the other research machines. By capturing routing information and having enough knowledge to change the routing metric information, the intruder altered the path so that his access became seemingly better through a backdoor connection.

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  • The Communication part is the interface for programs accessing the TOE. It is the interface between the TOE and clients performing requests. All responses to user application requests return to the client through this part of the TOE. The Relational Engine is the core of the database engine and is responsible for all security relevant decisions.

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  • Chapter 6B - Measuring and improving drive performance. This chapter define the term average access time and describe how it is measured, explain why file compression is a factor in drive performance, define the term data transfer rote and describe how it is measured, explain two steps you can take to optimize the performance of your computer’s hard disk, identify four drive interface standards commonly used in PCs.

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  • This chapter define the term average access time and describe how it is measured, explain why file compression is a factor in drive performance, define the term data transfer rote and describe how it is measured, explain two steps you can take to optimize the performance of your computer’s hard disk, identify four drive interface standards commonly used in PCs.

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  • Power control 6.1 ALGORITHMS In Chapter 8, we will show that the Code Division Multiple Access (CDMA) network capacity depends significantly on the so-called near–far effect. From the very beginning, theory and practice of CDMA were aware of this fact. All practical systems use Power control (PC) to reduce this effect. PC is more efficient in the system optimized for speech, such as IS-95.

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  • Early relational systems used indices as table replicas that allowed vertical partitioning, allowed associative search, and allowed con- venient data ordering. Database optimizers and executors use semi-join on these structures to run common queries on covering indices. These query strategies give huge speedups. These early ideas evolved to materialized views (often maintained by triggers) that went far beyond simple covering indices and provided fast access to star and snowflake schema. In...

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