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Articles by Kiran Kumar Panigrahi
Page 13 of 32
Difference between Functional and Non-functional Testing
Testing is the most important stage in the process of delivery of any application or software, as it not only validates the quality of an application but also provides an opportunity to the developer to improve its product. Every application is developed as per the requirements of a customer/client. So, on the basis of testing the functionality of an application based on these requirements and testing the usability and performance, we can distinguish between Functional and Non-functional Testing. Read this article to learn more about functional and non-functional testing and how they are different from each other. What is Functional ...
Read MoreDifference between Forward Engineering and Reverse Engineering
Both Forward and Reverse Engineering are related to the re-implementation of the legacy systems to achieve more sustainability. On the basis of the mode of creation, we can classify these modes as Forward and Reverse Engineering. Read this article to learn more about forward engineering and reverse engineering and how these two approaches are different from each other. What is Forward Engineering? Forward Engineering is the mode of development of an application in which the development is done on the basis of given requirements from the client or consumer. In forward engineering, the requirements are provided before the development ...
Read MoreDifference between Deterministic and Non-deterministic Algorithms
In the context of programming, an Algorithm is a set of well-defined instructions in sequence to perform a particular task and achieve the desired output. Here we say "a set of defined instructions" which means that somewhere the user knows the outcome of those instructions if they get executed in the expected manner. On the basis of the knowledge about outcome of the instructions, there are two types of algorithms namely, Deterministic and Non-deterministic Algorithms. Read this article to learn more about deterministic and non-deterministic algorithms and how they are different from each other. What is Deterministic Algorithm? A deterministic ...
Read MoreDifference Between Descriptive and Predictive Data Mining
Descriptive data mining and predictive data mining are mining techniques that are used to find useful information and patterns in large datasets. Descriptive data mining is a data mining technique that analyzes the past data to provide latest information on past events, while predictive data mining is a data mining technique that is used to analyze past data and provides answers of future queries. Read this this article to learn more about descriptive and predictive data mining techniques and how they are different from each other. What is Descriptive Data Mining? Descriptive data mining is a data mining technique that ...
Read MoreDifference Between DELETE and DROP in SQL
DELETE is a Data Manipulation Language (DML) command. It is used to remove tuples/records from a relation/table. On the other hand, DROP is a Data Definition Language (DDL) command and is used to remove named elements of schema like relations/table, constraints or entire schema. Read this article to learn more about DELETE and DROP commands in SQL and how they are different from each other. What is DELETE in SQL? In SQL, the DELETE command is used to remove some or all the records from a database table. With the DELETE command, the WHERE clause is used to define the ...
Read MoreDifference between Data Mining and Machine Learning
Data Mining and Machine Learning are two fields which have influenced each other. Data mining is the field in which operations are performed on sets of data to determine certain patterns in the data sets, whereas machine learning uses certain algorithms that automatically improves the analysis processes through data based experiences. Although data mining and machine learning have many common things, they are quite different from each other. Read this article to learn more about Data Mining and Machine Learning and how they are different from each other. What is Data Mining? Data Mining is the process of discovering ...
Read MoreDifference between data mining and web mining?
Data mining is the procedure of exploration and analysis of huge quantities of data to find meaningful patterns and rules. On the other hand, web mining defines the process of using data mining techniques to extract useful data patterns and trends from web-based records and services, server logs, and hyperlinks. Read this article to learn more about Data Mining and Web Mining and how they are different from each other. What is Data Mining? Data mining is the process of discovering meaningful new correlations, patterns, and trends by shifting through a large amount of data stored in repositories, using pattern ...
Read MoreDifference between Data Mining and Statistics?
In businesses, in order to predict future issues, it is very important to analyze the past and present data. For this purpose, there are several data analysis techniques available like data mining and statistics.Data mining and statistics are used for making data-driven decisions; these are basically the primary components of data science. Data mining and statistics may seem to be similar, but they are quite different from each other. Read this article to learn more about Data Mining and Statistics and how they are different from each other. What is Data Mining? Data miningis the technique of exploration and analysis ...
Read MoreDifference Between Data Mining and Data Warehousing
Data mining is a process of extracting useful information and data patterns from data, whereas a data warehouse is a database management system developed to support the management functions. Read this article to learn more about Data Mining and Data Warehousing and how they are different from each other. What is Data Mining? Data Mining is a process used to determine data patterns and extract useful information from data. It can be understood as a general method to extract useful data from a set of data. In the data mining process, data is analyzed repeatedly to find patterns. Data mining ...
Read MoreDifference between Data lake and Data warehouse
Data Lake and Data Warehouse both are used for storing big data. A Data Lake is a very big storage repository which is used to store raw unstructured data, machine to machine, logs flowing through in real-time. The purpose of the stored data is not defined in a data lake. They are stored for future analysis of the data. A data warehouse is a repository for structured, filtered data that has already been processed for a specific purpose. A Data warehouse collects the data from multiple sources and transforms the data using ETL process, then loads it to the Data ...
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