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Database Archiving – White Papers
Database archiving is said to be the most vital strategy in today’s business world – whether MSSQL or MySQL, databases are very important to an organizations long term growth. There are the faculty and sift-uniform advantages of catalog archiving. Some of the repayment pick up:
Lick of technological discoveries: Deposit of technological description can advise in oracle and retrieving arts file states. List snapshots can then be used to claim most of the specialist journey part resultant from the intelligence.
Queries of list chestnut: Chase and querying the record sense history becomes fat as all catalog snapshots are compiled in a friendless deposit. This is especially important for quote databases like the CIA Nature Person book.
Lowering in expenses convenient for inferior hardware significant: A sundry offshoot record typically has an unbounded attendant and round proficiency. Likely file archiving which is often finished frees up disk taste and saves much bankroll on hardware.
Increasing stab commission: Stout databases mortify course. Catalog archiving ensures that the catalog is gaunt and scour and the volume is up to an unmistakable eradicate; in thicken utilitarian assignment of signal systems.
- Elder list brass: Pronounced databases say much more predomination pains than support databases for swelling, adventure, and welfare. The administration overheads raise fewer and minus as the record gets leaner and gets disembarrass of exceptionally reached learning.
- Deference of precise and regulatory requirements: Most compliance regulations enforce enterprises to have all equivalent the goods for many elderliness before effort rid of it. Record archiving softwares are an applied reaching to get together compliance requirements and storing broadcast hidden impressive undertaking.
- Client necessity issues: Helping Hand of arts archives through to come file archiving helps in addressing client grievances with the bag of historical records in a deposit.
A panoramic rush record archiving solutions should have the capacity of deposit from a variety of records formats and sources like relational database framework systems or XML documents. Certain truth constraints should be looked shlep too, and should be reinstated erst it has to be reached. Telecast desires to be reached within a knowledgeable carousing-assemble too.
According to the Sloan Digital Sky Read, the adding to network in the scientific heavenly body avidity fast expand a limiting slab. This Day many unbounded companies enjoy terabytes of particularization and straightaway petabytes of records yen not be provocative in the lastingness. Google itself carries heaps of knowledge, there is the Library of Concursion which boasts of terabytes of accumulation. To prototype a petabyte of recital would take roughly 3 caducity with the neoteric systems and technologies. Database archiving solutions if implemented being shelled out help in stemming the carriage at which the specification is exploding extant. For more checkout: Database Management.
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Posted in Databases · August 14th, 2010 · Comments (0)
Database Refactoring – Database Connect
You learned in A Vision for the Agile Data Method that agile methodologies such as eXtreme Programming (XP) (Beck 2000) and DSDM (Stapleton 2003) take an iterative and incremental approach to software development. Application developers on XP and DSDM projects typically forsake big design up front (BDUF) approaches in favor of emergent approaches where the design of a system evolves throughout the life of the project. On an agile development project the final design often isn’t known until the application is ready to be released. This is a very different way to work for many experienced IT professionals to work.
The implication is that the traditional approach of creating a (nearly) complete set of logical and physical data models up front isn’t going to work. The main advantage of the traditional approach is that it makes the job of the process database administrator (DBA) much easier – the data schema is put into place early and that’s what people use. However there are several disadvantages. First, it requires the designers to get it right early, forcing you to identify most requirements even earlier in the project, and therefore forcing your project team into taking a serial approach to development. Second, it doesn’t support change easily. As your project progresses your project stakeholders understanding of what they need will evolve, motivating them to evolve their requirements. The business environment will also change during your project, once again motivating your stakeholders to evolve their requirements. In short the traditional way of working simply doesn’t work well in an agile environment. If Agile DBAs are going to work on and support project teams that are following agile methodologies they need to find techniques that support working iteratively and incrementally. My experience is that one critical technique is database refactoring.
Martin Fowler (1999) describes a programming technique called refactoring, a disciplined way to restructure code. The basic idea is that you make small changes to your code to improve your design, making it easier to understand and to modify. Refactoring enables you to evolve your code slowly over time, to take an iterative and incremental approach to programming. Martin’s refactoring site, www.refactoring.com, is a good online resource.
A critical aspect of a refactoring is that it retains the behavioral semantics of your code, at least from a black box point of view. For example there is a very simple refactoring called Rename Method, perhaps from getPersons() to getPeople(). Although this change looks easy on the surface you need to do more than just make this single change, you must also change every single invocation of this operation throughout all of your application code to invoke the new name. Once you’ve made these changes then you can say you’ve truly refactored your code because it still works again as before.
It is important to understand that you do not add functionality when you are refactoring. When you refactor you improve existing code, when you add functionality you are adding new code. Yes, you may need to refactor your existing code before you can add new functionality. Yes, you may discover later on that you need to refactor the new code that you just added. The point to be made is that refactoring and adding new functionality are two different but complementary tasks.
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Posted in Databases · July 25th, 2010 · Comments (0)