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Distributed databases manage large and complex data sets across multiple locations. However, several design issues may work as a barrier while developing an efficient, reliable, and scalable distributed database system . Indeed, it is numerous and complex. In this article, I am going to tell you about different data design methods of distributed databases. Design Issue 1: Data Partitioning Data partitioning is the process of dividing data into smaller subsets and distributing them across different nodes of the distributed database.  The goal of data partitioning is to minimize data duplication and ensure that each node only stores the data it needs to operate. There are several data partitioning strategies, such as horizontal partitioning, vertical partitioning, and hybrid partitioning. The choice of partitioning strategy depends on the type and size of the data, the distribution of queries, and the hardware resources of the nodes. Design Issue 2: Replication Replication is the process

Yes, it is possible to query data in a blockchain. However, it also has certain limitations. While blockchain technology was originally designed for the purpose of creating a decentralized, immutable, and secure ledger for recording cryptocurrency transactions, developers have been using it for a wide range of use cases beyond cryptocurrency, including data storage and management. Do you want to learn more? Please continue reading because today, I am going to tell you various ways in which data can be queried in a blockchain, including the challenges and limitations of this process. What is a Blockchain? A blockchain is a decentralized, distributed ledger that records transactions in a secure, immutable, and tamper-proof way. It consists of a network of nodes that collectively maintain the integrity and security of the ledger. Transactions in a blockchain are verified and added to the ledger through a consensus mechanism, which ensures that the ledger remains immutable and transparen

If you are new to the blockchain ecosystem, you have heard of distributed systems. Indeed, distributed databases are one such example where a collection of databases work together to provide a single, unified database. It helps to distribute data processing and storage across multiple machines or nodes, providing better performance, scalability, and fault tolerance. In the time of artificial intelligence and blockchain technology , an efficient distributed database plays a crucial role. In this blog, I am going to explore the ten key fundamental principles of distributed databases. Safe Distribution of Data The distribution is the basic principle of distributed databases. It refers to the ability to store and access data across multiple locations, systems, or networks. Data distribution enables the system to achieve better performance and reliability by distributing data across multiple servers or nodes.  Simple and Transparency Data Processing It refers to the ability of the system t

Distributed Ledger Technology or distributed systems are complex computer systems made up of multiple components working together to achieve a common objective. Many people are also confused about blockchain and DLT . Indeed, there are some differences, but these systems rely on a set of fundamental principles that enable them to function properly and effectively. In this blog post, I am going to tell you ten 10 basic principles of distributed systems or DLT. Scalability DLT can handle an increasing number of users and transactions without sacrificing performance. There are different techniques used to achieve scalability, such as load balancing and sharding. Load balancing distributes the load among different servers or nodes to ensure that no single node is overloaded, thus ensuring that the system remains responsive.  Sharding involves dividing the system's data into smaller partitions, allowing for more efficient querying and better resource utilization. Fault Tolerance Distr

Distributed Ledger Systems (DLS) is a new form of digital database technology that has gained increasing popularity in recent years. Do you know who popularized this system? It was first used in Bitcoin. After that, it expanded to a wide range of other applications, including supply chain management, voting systems, and more. DLS is a digital database that is decentralized and distributed across multiple nodes in a network. Do you want to learn more? Please continue reading because here I am going to share seven key characteristics of Distributed Ledger Systems. DLS Must be Decentralized The first key characteristic of Distributed Ledger Systems is decentralization. This means that there is no central authority controlling the system. Instead, all nodes in the network have equal power to validate transactions and maintain the ledger. Experts think it is a better version of traditional centralized databases, which are controlled by a single entity or private organization. However, in t