An Oracle White Paper June 2012 Financial Services Data Management: Big Data Technology in Financial Services Big Data Technology in Financial Services Introduction: Big Data in Financial Services ....................................... 1 What is Driving Big Data Technology Adoption in Financial Services?3 Customer Insight ........................................................................... 3 Regulatory Environment ...........................................................
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SQL vs. Oracle Same to Oracle‚ Structured Query Language (SQL) is a special purpose designated programming language intended for utilization in managing data contained in relational databases. Despite the similarities‚ the two programming languages are different in a number of ways‚ which encompasses technical and application aspects. A conspicuous dissimilarity between the two programming languages is conceivable from their choices of operating system (OS) platforms. In regards to this statement
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ORACLE DATA SHEET ORACLE DATA INTEGRATOR ENTERPRISE EDITION KEY FEATURES AND BENEFITS In today’s fast-paced‚ information-based economy‚ companies must ORACLE DATA INTEGRATOR ENTERPRISE EDITION OFFERS LEADING PERFORMANCE‚ IMPROVED PRODUCTIVITY‚ FLEXIBILITY AND LOWEST TOTAL COST OF OWNERSHIP be able to quickly integrate vast amounts of data from disparate systems while reducing costs and improving efficiencies. Oracle Data Integrator Enterprise Edition delivers that need with highperformance
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Oracle Real Application Clusters (RAC) • Oracle Real Application Clusters allows oracle database to run any packages or custom application‚ unchanged across a set of clustered servers. Oracle RAC provides high availability and the most flexible scalability. • Oracle RAC extends oracle database to store‚ update and efficiently retrieve data using multiple database instances on different servers at the same time • The data files that make up the database must be residing in a shared
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experience in IT industry as Oracle Database administrator‚ having exclusive experience in database administration‚ installation‚ configuration and upgrades with Oracle Software 11g/10g/9i/8ion Sun Solaris‚ Red Hat Linux‚ HP-UX‚ AIX‚ and Windows Platform. Installed oracle database server on SOLARIS‚ HP-UX‚ AIX‚ WINDOWS NT‚ LINUX and migration of oracle server from 8i‚9i to 10g and 10g to 11g applied oracle patches. Extensively used Database Administrative tools like Oracle Enterprise Manager‚ DBA Studio
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between IBM ’s DB2 database management system (DBMS) product and Oracle. Realistically‚ making such a comparison is akin to discussing religion with friends. Each person will have their own biases based on their own experiences. Looking for an unbiased opinion is much like looking for the Holy Grail‚ every bit as speculative and subjective with the results jaundiced by the outlook of the reporter (Lim‚ 2002). A decision between DB2 and Oracle should be based on what resources are available for use at
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Oracle Systems Corporation Summary Since its formation in California in June 1977‚ Oracle Systems Corporation has grown rapidly to become the world’s largest supplier of database management software. It also offers maintenance‚ consulting‚ training‚ and systems integration services and it is the leader in its industry. But currently‚ its way of revenue recognition has been debated. Under Oracle’s current set of accounting rules‚ Oracle can recognize any revenue they believe will be shipped within
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Oracle Systems Corporation 1. What factors might have led analysts to question Oracle Systems’ method of revenue recognition in mid-1990? Are these legitimate concerns? Analysts might have been led to question Oracle’s method of revenue recognition because of revenue recognition timing‚ quality of receivables‚ and aggressive sales practice. These were all legitimate concerns. Oracle recognized licensing and sublicensing revenues on the date of contract rather than upon delivery when certain
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Oracle Data Pump is a new and unique feature of Oracle Database 11g. A new public interface package‚ DBMS_DATAPUMP‚ provides a server-side infrastructure for fast data and metadata movement between Oracle databases. It is ideal for large databases and data warehousing environments‚ where high-performance data movement offers significant time savings to database administrators. Data Pump automatically manages multiple‚ parallel streams of unload and load for maximum throughput. The degree of parallelism
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An Example of How Oracle Works The following example illustrates an Oracle configuration where the user and associated server process are on separate machines (connected via a network). 1. An instance is currently running on the computer that is executing Oracle (often called the host or database server). 1. A computer running an application (a local machine or client workstation) runs the application in a user process. The client application attempts to establish a connection to the server
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