Found 85 Articles for RDBMS

Introduction PostgreSQL is one of the most popular open-source relational database management systems (RDBMS). It provides a wide range of features such as data integrity, fault-tolerance, and scalability. One of the essential features in PostgreSQL is Streaming Replication. It allows you to create multiple copies of a PostgreSQL database cluster in near-real-time by continuously streaming the changes from the primary node to the standby nodes. Streaming replication works by streaming the write-ahead log (WAL) data generated by the primary node to one or more standby nodes over a network connection. Configuration of Master Node for Streaming ... Read More

Introduction PostgreSQL is a powerful, open-source object-relational database system that is widely used for enterprise-level applications. It boasts extensive features and capabilities, including support for advanced data types, scalability, reliability, and security. With PostgreSQL, users can store vast amounts of structured data with ease. PostgreSQL is one of the most popular database management systems available today. It was first released in 1989 as an open-source project and has since become the go-to choice for many organizations worldwide due to its robustness, flexibility, and scalability. Being an open-source project means that it is free to use and can be modified by ... Read More

Introduction PostgreSQL is an open-source relational database management system (RDBMS) known for its robustness, stability, and ability to handle complex and large data sets. On the other hand, Kubernetes is an open-source container orchestration system that automates the deployment, scaling, and management of containerized applications. Combining these two powerful technologies provides a highly scalable and reliable environment for hosting your PostgreSQL database. In this article, we will explore how to deploy PostgreSQL on Kubernetes. We will start by explaining what PostgreSQL and Kubernetes are and the benefits of deploying PostgreSQL on Kubernetes. Then we will go through an overview of ... Read More

Hive was developed by Facebook. It is used for analytics and MapReduce jobs. It can read, write, and manage large datasets. Hive can replace traditional database operations. Hive uses indexing to make queries more efficient, and it can work with compressed data stored in the Hadoop ecosystem. In this article, we will discuss Dynamic Partitioning and operations on Dynamic Partition in Hive. Apache Hive Apache Hive is a warehousing system. It is used to perform operations on structured data. It is widely used for analytics and MapReduce jobs. Apache Hive provides functionality for reading, writing, and managing large datasets. One ... Read More

Data Warehouse A data warehouse is like a big library where we keep a lot of information from different places. It analyzes and understands the information easily. So you can make good decisions based on these facts. You have all the required information that you need in one place. We organize the information so it's easy to find and use. It takes information from different places and put it all together in one place, hence it is easier to understand. Characteristics of Data Warehouse Data Warehouse has the following characteristics. Subject-oriented A data warehouse focuses on a specific topic ... Read More

According to many technical and research organizations, nowadays, cloud computing systems are dealing with a lot of data across multiple cloud organizations. It is hard for these organizations to deploy, ship, and maintain various versions of containers that perform specific tasks. It is difficult for managing large amounts of data across multiple systems. It can cause problems with management, coherence, and security. To solve these problems, organizations have come up with a new approach called Cloud Orchestration. This helps to manage and organize the cloud-based structure. Orchestration in Cloud Computing Orchestration automats and coordinates the deployment and configuration It manages ... Read More

Oracle Label-Based Security (OLS) is a feature of the Oracle Database that provides fine-grained access control over sensitive data based on security labels. This feature enables organizations to enforce access control policies based on the sensitivity of the data rather than the traditional approach of user roles and privileges. In this article, we will discuss how Oracle Label-Based Security works and its benefits. Oracle Label-Based Security Oracle Label-Based Security works by assigning a security label to each row of data in a table. The label identifies the sensitivity level of the data, such as confidential, secret, or top secret. Each ... Read More

Cassandra is a distributed NoSQL database system. It offers high scalability, availability, and fault-tolerance. It uses a decentralized architecture, where data is distributed across multiple nodes, and provides several operations to manipulate data. In this article, we will discuss operations on tables in Cassandra. Creating Tables The first operation in Cassandra is to create a table. A table is defined by set of columns. Each column has name, data type, and an optional value. To create a table, you need to specify the keyspace. It is namespace that defines the replication strategy, and the table name. You also need to ... Read More

Retrieval and Update Operations When we work with files, we usually do two types of operations: retrieval and update. Retrieval operations help us find specific records in the file and look at their data. Update operations change the file by adding, removing, or modifying records. Selection Conditions To do either operation, we may need to specify a condition that the records must meet. For example, we might want to retrieve all the records where the salary is greater than or equal to $30, 000. This is called a selection condition. Selection conditions can be simple or complex. A simple condition ... Read More

On-Line Transaction Processing (OLTP) System is a type of computer system that helps manage transaction-related tasks. These systems are made to quickly handle transactions and queries on the internet. For instance, supermarket's POS (point of sale) system is an example of an OLTP system. Almost every industry nowadays uses OLTP systems to keep track of their transactional data. OLTP systems mainly focus on entering, storing, and retrieving data, which includes daily operations like purchasing, manufacturing, payroll, accounting, etc. Many users use these systems for short transactions. They support simple database queries, which makes it easier for users to get ... Read More