Database Design

The goal of query optimization is to reduce the system resources required to fulfill a query, and ultimately provide the user with the correct result set faster. Query optimization is important for at least a few reasons. First, it provides the user with faster results, which makes the application seem faster to the user. Secondly, it allows the system to service more queries in the same amount of time, because each request takes less time than unoptimized queries. Thirdly, query optimization ultimately reduces the amount of wear on the hardware (e.g. disk drives), and allows the server to run more efficiently (e.g. lower power consumption, less memory usage).

A database is a collection of tables of data.

Magnetic lasso makes selections, it snaps to edges automaticaly while you work with this tool.

The Class ranges of ANSI Standards refers to the pressure and temperature limits of usage for the Product. The class ranges from 150 and goes upto 2500. They denote the different pressure ranges.

For example, A 316 Stainless Steel valve in class 150 can be used only upto 275psi

Same 316 Stainless Steel valve in class 1500 can be used only upto 3600psi

Does that clears your doubt?

It totally depends on what are the requirements of your database. first a schema is designed that will have the name of table required and their attributes and fields. Then the which tables are linked with each other.

Business rules may dictate that when a specific action occurs further actions should be triggered. For example, deletion of a record automatically writes that record to an audit table.

Oracle, and some other RDBMSs, will allow storage of the code to manage these rules within the database itself. That is, in a central data dictionary

Polyinstantiation in computer science is the concept of type being instantiated into multiple independent instances. It may also indicate, such as in the case of database polyinstantiation, that two different instances have the same name.

There is no full form.. it is opposite for do...

A large number of database management systems (DBMS) exist. For example: Oracle, MySQL, DB2.

It tells you about the size of variation relative to the size of the observation, and it has the advantage that the coefficient of variation is independent of the units of observation. Here is a example to help you see it.

If you have a data set with weights, the value of the standard deviation of a set of weights will be different depending on whether they are measured in grams or lbs or micrograms etc. For example if you look at the weights of kids from birth to 18 years, some countries measure in lbs other in kg and some even use stones. The coefficient of variation, however, will be the same in both cases as it does not depend on the unit of measurement. So you can obtain information about the children's weight variation around the world by using the coefficient of variation to look at all the ratios of standard deviations to mean in each country.

To compute it we look the ratio of the standard deviation to the mean .

Sernior account manager for what industry, in what state, for what size company; and how many years of experience does the account manager have? What is the educational backgroup of the account manager?

Computer Science Professionals those who design, manage, maintain & develop Databases (Information Storage Houses) are Database Practitioners. The roles of Database Practitioners are well diversified such as Database Administrators, Database Analyst, Database Designers (Database Modelling) etc.

A database administrator oversees all aspects of the database. He/she will be the person who has the ability to make anything happen with the management of the database.

yes

Personnel information management (PIM)

A foreign key is determined by the underlying database model. Usually, a foreign key points to the "primary key" of the table that it references. In Access, for example, a lookup field holds the ID of the record you are referencing, while displaying whichever field you specify from the referenced table. In MySQL and most other RDBM systems, you can query the data using a LEFT JOIN or RIGHT JOIN based using the form "a.relatedid = b.id", where "a" is an alias to the child record (the one with the lookup field), and "b" is the primary key on the parent record.
A query on a foreign key might look like this: "select * from `orders` a left join `customers` b on a.`customerid` = b.`id`". In this query, you would see the order plus the customer that placed the order, each order on it's own line. Customers may be duplicated, since they might have multiple orders in the database. Of course, this assumes that "customerid" is the field on the "orders" table that contains the foreign key relationship, and "id" is a primary key on the "customers" table.
The primary key must be unique to be useful. This is usually defined as an AUTO_INCREMENT field, but it may also be some other value guaranteed to be unique, such as a randomly assigned UUID or customer number.

Data warehouses are designed for quick access to large amounts of historical data. Read operations dominate over write operations. Under these conditions, normalization takes a back seat to performance optimization. A different design methodology, called dimensional design is used when planning a data warehouse.

There are two common categories of schemas used in data warehousing: star schemas and snow flake schemas. A star schema has a central fact table, surrounded by dimension tables. The fact table contains columns called measures, which are aggregated in queries. The fact table is related to the dimension tables. The dimension tables may have levels, which are implemented as columns. For example, a dimension table named Location may contain columns for Continent, Country, StateProvince and City. This dimension table is not normalized. If you normalize the dimension tables, then each level is placed in its own table. Normalizing the dimension tables results in a snow flake schema.

By rigorously collecting business requirements, understanding the desired end result as well as the potential expansion / change directions. By considering future plans an architect can design around these possibilities; properly staging the environment for these future plans. At times it may make more sense and be little to no additional work to invoke some of these plans from the beginning.

A great example of this would be an application that maintains data for a customer facing portal. lets say that today a company is looking for a simple portal. Plans down the road however would include the ability for a customer to view items that they have looked at in the past. Now for marketing reasons you may want to track this anyway; but assuming that you do not......

With these future plans in mind you may track the historical information from day one. Although the coding is not present to utilize the information it can be of great use later.

In this example imagine being able to announce this new capability to your customers; say 6 months after launching the portal... AND being able to inform your customers that they can also view all prior activity (Prior to the service actually being offered or even programmed). this would be made possible because forethought and planning took place that resulted in the retention of the information that would later be needed.

Financial inclusion

social inclusion

digital inclusion

educational inclusion

political inclusion

Wether in docuement form or a database form within a database data input form a form within another form is called a sub form

Photostory 3 is a program which you can add photos, music, voice recordings and text to make an awesome wmv file (Windows Media Video).

You can also crop, rotate, correct red eye, correct colour levels and remove black borders from pictures.

Photostory 3 is also a great way of reconstructing a novel into an animation like thing.

If photostory is not your thing, you might want to look at KidPix, iPhoto and PowerPoint.

From WDmotors

There is a saying in the database industry - GIGO. It stands for garbage in Garbage out. The point of a database is to maintain data in a way that it has a use. For example, in a business a database might be used for inventory. What good would it be if the database didn't contain the right information on quantity and price. Also when you sell something you would like to have its quantity decremented in the database. If this didn't happen reliably you have a big problem. There are other factors in data quality that might be associated with the precision of the data. For example you might have a piece of data stored as an integer, but find out later that you actual need floating point for more precision in your queries.