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and recovery operations Virtual consolidation can be added by implementing a storage management layer as a means of extracting the storage management intelligence from the disk arrays and centralizing it as a standard front end for accessing any back-end storage This approach is called storage virtualization and can serve to standardize the administration of multiple storage devices and establishes a solid foundation for implementing tiered storage Tiered storage As data was categorized in different tiers in an earlier discussion, so now we can apply the same logic to a storage architecture in an effort to lower our overall costs of managing and protecting data As a part of a storage consolidation effort, or as a re nement of an existing consolidated architecture, multiple storage tiers can be deployed to match the business value of data to the performance and protection requirements appropriate for data of such value.

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If you want to create a drive for your home directory, you can, like this:

Here are few subcommand options also called subcommands because they invoke their own functionality for reading mail:

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For example, mission critical ERP data can be hosted on high-performance, highly available primary storage and protected using mirroring, snapshots and tape, used primarily for archive purposes For less critical data, perhaps slower SATA (serial advanced technology attachment) storage may be con gured, coupled with a daily tape backup delivering slower but reliable recovery In recent years, many organizations have ventured to implement tiered storage and have been able to lower the cost of managing and protecting their information assets as a result of this effort In some environments, technology is introduced in the form of hierarchical storage management or intelligent volume management software that can automatically migrate data across storage tiers as the business value of data declines based on attributes such as le date and last access This level of automation may be bene cial to an organization if data volumes and sporadic access patterns are the norm.

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With or without automation, effective tiering of storage can lead to a more manageable environment and allow for more focused utilization of data protection resources Data recovery classi cation Once the business value of data has been established and a tiered storage design has been created, data recovery SLAs can be agreed upon for each tier This is a critical intersection between business units and IT, where costs of recovery need to be assessed and accountability fairly given to business units based on the SLAs established for recovery point, recovery time and retention Once the metrics are established and agreed upon, data protection monitoring and reporting (discussed later in this chapter) become critical to assess how well IT is delivering on its promise to perform and how much IT resource is being consumed by each business unit..

The previous chapter discusses how to get data into Access. Now it s time to do something with that data. Once you have your data stored in Access tables, you can turn your focus to one of the more useful features of Access: Queries. By definition, a query is a question. For the purposes of this chapter, it is a question about the data that is stored in tables. Although most Excel users have heard of Access queries, few have been able to relate to them. The primary reason is that in Excel, the concept of querying data is a bit nebulous as it can take the form of different functionalities in Excel. That is to say, there is no such object called a query in Excel. Instead, you have things like formulas, AutoFilters and PivotTables. Consider this; in Excel, when you use AutoFilter, a VLookup formula, or Subtotals, you are essentially running queries against some set of data to achieve an answer Access queries revolve around the same concept. In this chapter, you will explore the world of Access queries, discovering the various ways you can create analyses from your data.

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