It is essential to name databases, tables, and columns appropriately when developing a database for readability, maintainability, and efficient communication between developers and users. Consistent naming standards facilitate cooperation and increase comprehension of the database structure. In order to maintain clarity and consistency, we will go over the recommended practices for naming databases, tables, and columns in this post. Database naming conventions − The most advanced container for arranging related data is a database. Think about the following recommended practices when naming databases − Use names that are meaningful and descriptive − Pick a name that accurately describes ... Read More

The foundation of database systems is a broad vocabulary that facilitates communication about the numerous facets of data storage, administration, and retrieval. In order to further your comprehension, we will go through the important terms used in database systems in this article, along with comprehensive explanations and applicable examples. Entity − An entity is a specific real-world thing or idea that we wish to represent and keep data about. For instance, students, professors, courses, and departments might all be considered entities in a university database Attribute −  An attribute is a representation of a particular quality or trait of ... Read More

Modern information management rely heavily on database systems because they make it possible to store, retrieve, and manipulate massive volumes of data effectively. Designing reliable and scalable databases requires a thorough understanding of the principles and architecture of database systems. The essential ideas and complexities of database systems will be covered in detail in this article, along with examples from everyday life to show how they might be used in real-world situations. Concepts of Database Systems Data − Data is the central component of every database system. The information that has to be handled and saved is represented by ... Read More

Stored Procedures are essential to database management systems (DBMS) because they boost security, increase performance, and encourage code reuse. A group of SQL statements are included within pre-compiled database objects known as stored procedures. They can be called by apps or other database objects and are saved in the database. In this post, we will go into the details of SQL Persistent Stored Modules (PSM), a procedural programming language extension for SQL, and examine the idea of stored procedures. Understanding Stored Procedures Stored Procedures are database objects that have already been pre-compiled and include a collection of SQL statements. They ... Read More

SQLAlchemy is a SQL toolkit and Object-Relational Mapping (ORM) system for the Python programming language. It offers a full suite of well-known enterprise-level persistence patterns, intended for data manipulation in SQL. One feature developers often seek to utilize is accessing the value from a SQLAlchemy instance using a column name. This powerful technique can streamline database operations and improve code readability. This article guides you through the process of using this feature in your Python program, showcasing two practical approaches. Syntax Before we delve into the procedures, let's establish the syntax of the method we will use in our following ... Read More

Machine Learning is a fast growing field with the potential to transform how humans interact with technology. Using Machine Learning, Machines can learn from data and improve their performance over time, becoming more precise and efficient. However, for ML models to be successful, high-quality decisions must be made throughout the development and deployment processes. Decisions taken during ML development can have a major impact on the accuracy and efficiency of the system. For example, choosing the best ML algorithms and methodologies for a given task might have a considerable impact on system performance. Using the incorrect method or technique ... Read More

Apache Spark is a complex computing system. It provides high-level APIs in programming languages namely Python, Scala, and Java. It is easy to write parallel jobs in Spark. It offers general and quicker processing of data. It is written in Scala and it is faster than others. It is used to process a large number of datasets. It is now the most prominently engaged Apache Project. Its key feature is in-memory complex computing that extends the speed of the data process. It possesses some main features that are Multiple Language Support, Platform-Independent, High Speed, Modern Analytics, and General Purpose. Now, ... Read More

Introduction The burgeoning field of technology constantly introduces innovations designed to boost efficiency, speed, and productivity in diverse arenas, among which data management holds paramount importance. The traditional disc-based databases have played a significant role in data management for years. However, with data volumes escalating exponentially, businesses worldwide are looking for ways to expedite data processing. In this scenario, in-memory databases (IMDBs) stand as a revolutionary alternative. Understanding In-Memory Databases An in-memory database (IMDB) is a database management system that primarily relies on main memory (RAM) for data storage rather than traditional disk storage. This storage scheme empowers IMDBs to ... Read More

Embedded SQL Embedded SQL is a method that combines SQL with a high−level programming language's features. It enables programmers to put SQL statements right into the source code files used to set up an application. Database operations may be carried out effortlessly by developers by adding SQL statements to the application code. The source code files having embedded SQL statements should be preprocessed before compilation because of the issue of interpretation of SQL statements by the high−level programming languages in embedded SQL. The terms EXEC SQL and END_EXEC must be used before and after each SQL statement in the source ... Read More

Distributed DBMS A distributed database is the distribution of data to get stored at different computers or sites that are interlinked to each other by a network. It can also be defined as a database that collects data over separate databases with self−reliant computers that are connected over data communication links. Distributed databases can provide more availability and reliability than a centralized database system. It is because even if some site fails, the system can the working without them. Distributed database systems can give better execution by appropriating the information and handling load across numerous sites. Disadvantages Of Distributed ... Read More