Data Mining – Gold Nuggets of Data May Prove to be Priceless

data mining tutorialData mining can often be used to gather knowledge from data sources. Data mining processes may involve tasks such as the following: data filtering, research, data retrieval and queries, statistics, analysis, graphic model development, etc. Searching for data as well as the analysis of data can be conducted manually or by using approaches based on automation. Data mining practices stem from machine learning and as data mining has evolved; information gathered from data mining has played a role in many areas, which include the following: medical innovation, predictive models, software development, analytical applications, marketing, strategic competition, game design, inventory replenishment, reporting, etc. Learn about the advantages that data mining can present with a comprehensive tutorial.

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Linux Error Codes – Locating and Understanding Errors

linux error codesWhen performing tasks in Linux or using programs that interact within a Linux environment, it is feasible that you will encounter errors. While some errors may be relatively minor and may not be associated with interruptions of major program functions; to avoid escalation of issues, even minor errors should be addressed. There are also errors associated with events that could potentially cause systems to stop responding, functions to not complete as intended, or loss of data. Errors can be displayed in the form of codes or messages that indicate an anomaly or other potential issue has been detected and provide information for the source of an issue.

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C# Random – Order in Chaos

c# randomThe Random class can be used to simulate a random value to retrieve in your code. The Random class, which the System namespace encompasses, is actually based on a pseudo-random approach. Although data will be retrieved while the value remains unknown, to a program user, the Random class uses algorithms along with other variables, such as seeds, in order to complete its associated functions. Seeds are essentially values that you provide in order for a Random class to have a defined starting point for successions. [Read more…]

SQL Formatter – Format Options in SQL

sql formatterFormatting in SQL occurs when data is converted to a version of the data that is displayed in a manner, which is more visually appealing and/or more efficiently used by a Database Management System. Text, numbers, and other characters can be formatted so that they are displayed in formats that are more uniform or more structured. Values can be formatted in SQL with the use of functions such as the Format function, the to_char (CStr in Access) function, and the to_date (CDate in Access) function. Common applications of the Format function involve values using currency and date formats. Formatting can be either explicit or implicit; if you want to explicitly apply a format, then you should directly apply a means of changing a format (e.g. via a function) along with the selected format type. While formatting of datatypes can involve processes such as those for parsing, translating, and converting; formatting can take place when one writes code while using an approach that makes code easier to read.

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Network Monitoring – Options for Monitoring Network Performance and Activity

how to monitor network trafficThere are many options for methods to use for network monitoring. Network monitoring can involve the recording and surveillance of performance, activity, and security related events. Tools that assist with network monitoring may involve both hardware and software. Methods for network monitoring can encompass the following: the use of sensors for network devices, configurations, packet analysis, hardware with security based capabilities, etc. It is important to monitor network activity, because doing so can greatly increase the chances of avoiding data loss, maintaining network availability, detecting unauthorized activity, pinpointing hardware or connection issues, and optimizing performance. Network tools available can offer such benefits as the convenience of automated tasks along with the detailed information found in user interfaces and event logs. [Read more…]

SQL Errors – What a Difference a Comma Makes

sql errorErrors that can be encountered while using SQL include errors that occur as a result of issues with punctuation, operations that go beyond set parameters and constraints, invalid use of reserved words, logic issues, missing information, etc. Variations in errors can also be based on the version of SQL being used. Due to the varied selection of errors, this article will focus on some of the errors that you may come across while using SQL. In order to understand why an error occurred and how to prevent it, it is helpful to be able to decipher what an error code or message indicates. If you have recently started using SQL, then you may come across multiple errors; moreover, the same could be said about well experienced SQL users.

Have you considered taking a class in order to learn more about concepts, such as parameters and logical data structures, in regards to Oracle database administration?  If so, then explore a class on Udemy. 

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SQL Decode – Evaluating Expressions and Conditions on a Case-By-Case Basis

shutterstock_94754395If you are familiar with If-Then-Else statements, then you may find that the concepts involved with an If-Then-Else statement can be somewhat similar to concepts involved with the SQL Decode function. If you are not familiar with If-Then-Else statements or the Decode function in SQL, that is also okay, because this article will provide explanations and examples for the SQL Decode function. The Decode function evaluates an expression to determine which criteria options are met and then performs an action (such as overriding a value) based on the evaluation results; the function will perform these steps using a process that involves cases for different criteria.

An index for a table can help improve searches and optimizations. Not only does the Decode function assist with data handling, it also combines the benefits of indexes. Additionally, the Decode function can help with organization of a table as it can create new columns used for data distribution based on results from evaluations. Conditions that are included in a Decode function include conditions such as the Equal(=) condition and Less Than(<) or Greater Than(>) condition.

The Decode function can be used along with Select statements for queries, such as a CrossTab query. A CrossTab query involves operations that are common with a Select statement, but also have added functionality for distributing data in a table. Using a CrossTab query along with a Decode function is one method that utilizes the organizational benefits of the Decode function. You can learn more about different types of queries in SQL by exploring a tutorial on Udemy. [Read more…]

Computing Standard Deviation – The Distance Between the Discovery of Statistics and the Understanding of Statistics May Not Be So Remote, Afterall

computing standard deviationIntroduction to Standard Deviation

Standard Deviation is a mathematical method that is often used in calculations for statistical data. If an object deviates from its course, then it moves away of its initial course. If an amount or position based on standard measurements changes and then deviates from the standard, then you can calculate a measurement for the variance. A way to measure the estimated average amount of variance from an expected value is to calculate the Standard Deviation. Calculating Standard Deviation can be useful for many goals which include providing supporting information for scientific studies and determining margins of error for statistics. [Read more…]

SQL Wildcard – Finding Matches and Patterns in Data

sql wildcardWhen you want to find data that meets a specific criteria or to find patterns in data, then you can use a wildcard query. In SQL, a wildcard character is used along with a statement, such as a SELECT statement, in order to retrieve data determined by a pattern. For instance, if you wanted to find all of the cities in a table that contain the pattern “ville”, using a wildcard would enable you to do so. There are different wildcard characters that you have the option to use and the usage will be dependent on the purpose of the search as well as the type of data you intend to gather.

Discovering SQL queries and want to learn more? Take a class on Udemy.

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SQL Index – Organizing and Locating Data

SQL Performance TuningSQL indexes may be comparable to the index for a phone directory, because indexes in SQL utilize pointers and fields of data in order to help locate information in a database; similarly, phone directories use categories indicated with page numbers and sections identifiers to organize information. In addition to pointers, the index of a database also incorporates the Data Dictionary. When you view information in a table, such as by using a SELECT statement, you can see information for your table based on the data retrieved by the query. Information that you may see for your table could include the column names and the field values. The output of a query is somewhat of a basic view of a database as there are actually many levels of information and characteristics involved with the information and functions used for databases. A Data Dictionary helps manage the structure of a database which entails information for table views, columns in a table, primary keys for a table, etc. Pointers may be described as being variables that can dynamically change locations within a database, pointers may point to specific locations in tables within a database in order to enable one to access queried information. [Read more…]