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High Availability and Backup Strategies
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NOTE Typical restore rates achieved by a full-rack Exadata Database Machine X2-2 utilizing the InfiniBand network is about 23 TB/hr, and this was possible when restoring into preexisting files
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For a business to succeed, it needs to have access to highly available systems When the service becomes unavailable due to unplanned or planned reasons, the business can lose revenue, credibility, and customers Solutions that are designed to enhance availability help minimize the impact of hardware and software failures and enhance the availability of applications by shortening the service downtimes There are multiple approaches to achieving high availability with Oracle products These approaches complement one another, and can be used alone or in combination They range from the basic strategy of using highly reliable and redundant hardware and software to the more advanced process for detecting and repairing corruption, as well as performing zero downtime upgrades and active-active databases The chapter highlights the various high-availability features and technologies available on the Database Machine and guides you in choosing a solution that meets the need for stringent business continuity requirements For more detailed information on each topic, refer to the Exadata section on the Oracle Technology Network and the Oracle database documentation
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hen Oracle first launched the Oracle Exadata Database Machine, it was aimed only at the broad solution area defined as data warehousing The reason why the initial focus was on data warehousing was simple Predesigned hardware configurations are well accepted in the data warehousing market and were available from many of Oracle s competitors Over the past decade, they have evolved from providing merely balanced server and storage configurations containing fast interconnects to delivering hardware-specific optimizations for typical data warehousing workloads Although Oracle s entry into this arena of providing integrated hardware and software solutions is relatively recent, Oracle is not new to providing data warehousing solutions In fact, information technology analysts generally agree that Oracle has provided the leading database for data warehousing for many years Oracle began to introduce key optimization techniques for data warehousing in its database more than 20 years ago For many organizations, these database optimization techniques provided solutions to their business needs while delivering the solutions on a familiar database engine that was also deployed elsewhere in their organization for transaction-processing applications However, growing data volumes and workload demands would sometimes tax the capabilities of Oracle-based data warehousing solutions designed around optimization provided by just the database software Even more challenging, many data warehouses were deployed without careful consideration of the impact of storage throughput needed to deliver the required query response time at the server(s) In this chapter, we ll give you a complete view of data warehousing considerations when deploying the Oracle Exadata Database Machine We ll start with a basic definition of data warehousing and a description of common topologies We ll then review some of the key features in the Oracle database that enable better reporting and ad hoc query performance, some of which were covered in more detail in 2 Since another desired capability of data warehousing is analytics, including trending and forecasting and predictive analysis through data mining, we ll also cover how the Oracle database supports those workloads After covering generic Oracle data warehousing topics, we ll discuss specific capabilities that are unique to the Oracle Exadata Database Machine and Exadata Storage Servers We ll cover unique optimization techniques and the role of Hybrid Columnar Compression We ll then describe how the generic features and special features for this platform work
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together to provide great performance in solving a query We ll also point out some of the best practices for data loading, partitioning, and backing up data specific to data warehousing Finally, we ll cover surrounding business intelligence tools, data models, security considerations, and how to justify purchase of the Oracle Exadata Database Machine for your data warehousing project
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