Tech Differences

In SQL, the DCL commands are used for assigning the different authorizations to the user, these type of authorizations is known as privilege. Grant and Revoke commands are the DCL commands. The GRANT command is used for conferring the authorization to the users whereas REVOKE command is used for withdrawing the authorization. Select, insert, update and delete are some of the privileges that are included in SQL standards. Content: Grant Vs Revoke Comparison Chart Definition Key … [Read more...]

Mirroring and Replication are the terms somehow related to copying of data in a DBMS. The prior difference between mirroring and replication is that mirroring refers to copy a database to another location whereas replication includes the copy of data and database objects from one database to another database. Both mirroring and replication are advantageous and increases the availability and performance of the data or database. Content: Mirroring Vs Replication Comparison Chart … [Read more...]

Clustered and Non-clustered index are the types of single-level ordering index where clustered index determines how the data is stored in the rows of a table. On the other hand, the non-clustered index stores the data at a single place and the indexes are stored at another place. Additionally, each table can have only one clustered index. As against, In case of a non-clustered index, a table can have multiple non-clustered indices. The indices are essentially required for the efficient … [Read more...]

We have already studied different types of keys used in database and schema in the previous articles namely Difference Between Primary key and Foreign Key. In this article, we are distinguishing Primary key and Unique key. Both primary key and the unique key is used to identify a tuple uniquely and enforces uniqueness in a column or combination of a column. The essential difference between primary key and unique key is that primary key does not accept NULL values whereas NULL values are … [Read more...]

Linear and Logistic regression are the most basic form of regression which are commonly used. The essential difference between these two is that Logistic regression is used when the dependent variable is binary in nature. In contrast, Linear regression is used when the dependent variable is continuous and nature of the regression line is linear. Regression is a technique used to predict the value of a response (dependent) variables, from one or more predictor (independent) variables, where … [Read more...]

Classification and Regression are two major prediction problems which are usually dealt in Data mining. Predictive modelling is the technique of developing a model or function using the historic data to predict the new data. The significant difference between Classification and Regression is that classification maps the input data object to some discrete labels. On the other hand, regression maps the input data object to the continuous real values. Content: Classification Vs Regression … [Read more...]

The Schema and Instance are the essential terms related to databases. The major difference between schema and instance lies within their definition where Schema is the formal description of the structure of database whereas Instance is the set of information currently stored in a database at a specific time. Instance changes very frequently while the schema acquires changes in a seldom manner. Content: Schema Vs Instance Comparison Chart Definition Key Differences … [Read more...]

A DBMS is a group of interrelated data and a collection of programs to access that data. RDBMS is the variant of DBMS devised to remove the inefficiencies of DBMS. The common difference between DBMS and RDBMS is that DBMS just provide an environment where people could conveniently store and retrieve information with in the presence of redundant data. On the other hand, RDBMS uses normalization to eliminate the data redundancy. DBMS follows a navigational model while RDBMS uses the relational … [Read more...]

Classification and Clustering are the two types of learning methods which characterize objects into groups by one or more features. These processes appear to be similar, but there is a difference between them in context of data mining. The prior difference between classification and clustering is that classification is used in supervised learning technique where predefined labels are assigned to instances by properties, on the contrary, clustering is used in unsupervised learning where similar … [Read more...]

Normalization and denormalization are the methods used in databases. The terms are differentiable where Normalization is a technique of minimizing the insertion, deletion and update anomalies through eliminating the redundant data. On the other hand, Denormalization is the inverse process of normalization where the redundancy is added to the data to improve the performance of the specific application and data integrity. Normalization prevents the disk space wastage by minimizing or … [Read more...]