The meaning of the word "abstraction" varies subtly depending on the surrounding words and phrases that are used in conjunction with it. In a general sense, an abstraction offers a picture of an item that has fewer specifics and reveals the features that are inherent to the thing from the perspective of the observer.Let's pretend that we have a MariaDB database in addition to a PostgreSQL database. An abstract look at it could reveal that it has a number of characteristics in common with other systems, such as a tabular representation of the data and a network-facing interface that its ... Read More

Let us understand the concepts of HBase and Cassandra before learning the differences between them.CassandraCassandra has a different infrastructure. Cassandra uses different DBMS along with their infrastructure. When Cassandra uses different DBMS then time complexity will increase.Cassandra supports ordered partitioning. This can lead to row size up to 10 megabytes.In Cassandra, we use seed nodes. These nodes perform inter-cluster communication. Here, we use internal communication. Casandra has lightweight transactions.Cassandra is based on the Jbury shell. But it has a specific Query language. That is CQL, it is modelled after SQL. It is better than HBase in Documentation. It uses the ... Read More

Big Data represents the vast amount of data that can be structured, semi−structured, and unstructured sets of data ranging in terms of terabytes. In contrast, Data Mining is the process of discovering meaningful new correlations, patterns, and trends by sifting through a large amount of data stored in repositories, using pattern recognition technologies as well as statistical and mathematical techniques. Data mining utilizes tools like machine learning, visualization, statistical models, etc. to extract the useful data from the Big Data. Read this article to find out more about Data Mining and Big Data and how they are different from each ... Read More

In parallel database system data processing performance is improved by using multiple resources in parallel. In this CPU, disks are used parallel to enhance the processing performance.Operations like data loading and query processing are performed parallel. Centralized and client server database systems are not powerful enough to handle applications that need fast processing.Parallel database systems have great advantages for online transaction processing and decision support applications. Parallel processing divides a large task into multiple tasks and each task is performed concurrently on several nodes. This gives a larger task to complete more quickly.Architectural ModelsThere are several architectural models for parallel ... Read More

In parallel database system data processing performance is improved by using multiple resources in parallel. In this CPU, disks are used parallel to enhance the processing performance.Operations like data loading and query processing are performed parallel. Centralized and client server database systems are not powerful enough to handle applications that need fast processing.Parallel database systems have great advantages for online transaction processing and decision support applications. Parallel processing divides a large task into multiple tasks and each task is performed concurrently on several nodes. This gives a larger task to complete more quickly.Architectural ModelsThere are several architectural models for parallel ... Read More

In parallel database system data processing performance is improved by using multiple resources in parallel. In this CPU, disks are used parallel to enhance the processing performance.Operations like data loading and query processing are performed parallel. Centralized and client server database systems are not powerful enough to handle applications that need fast processing.Parallel database systems have great advantages for online transaction processing and decision support applications. Parallel processing divides a large task into multiple tasks and each task is performed concurrently on several nodes. This gives a larger task to complete more quickly.Architectural ModelsThere are several architectural models for parallel ... Read More

In parallel database system data processing performance is improved by using multiple resources in parallel. In this CPU, disks are used parallel to enhance the processing performance.Operations like data loading and query processing are performed parallel. Centralized and client server database systems are not powerful enough to handle applications that need fast processing.Parallel database systems have great advantages for online transaction processing and decision support applications. Parallel processing divides a large task into multiple tasks and each task is performed concurrently on several nodes. This gives a larger task to complete more quickly.Architectural ModelsThere are several architectural models for parallel ... Read More

A parallel database is one which involves multiple processors and working in parallel on the database used to provide the services.A parallel database system seeks to improve performance through parallelization of various operations like loading data, building index and evaluating queries parallel systems improve processing and I/O speeds by using multiple CPU’s and disks in parallel.Working of parallel databaseLet us discuss how parallel database works in step by step manner −Step 1 − Parallel processing divides a large task into many smaller tasks and executes the smaller tasks concurrently on several CPU’s and completes it more quickly.Step 2 − The ... Read More

The types of database models are explained below −Hierarchy DatabaseIt is almost the first good database we used to organize the data. It is developed by computer software development company IBM for IMS (Information Management system).The design of this model is very simple as we arrange the data in the tree-like structure.This tree model has nodes and branches which represent fields and different areas of data.This model is good if we have to store data in a linear fashion and the whole main directory of data is present at the root node.This model shows the parent-child relationship as we have ... Read More

Data Abstraction is a process of hiding unwanted or irrelevant details from the end user. It provides a different view and helps in achieving data independence which is used to enhance the security of data.The database systems consist of complicated data structures and relations. For users to access the data easily, these complications are kept hidden, and only the relevant part of the database is made accessible to the users through data abstraction.Levels of abstraction for DBMSDatabase systems include complex data-structures. In terms of retrieval of data, reduce complexity in terms of usability of users and in order to make ... Read More