Reading Time: 4 minutes If you’re looking to store and manage data efficiently and effectively, then MarkLogic Database is an excellent choice. It allows you to easily write CRUD operations (Create, Read, Update, Delete) within the database in order to keep your data organized and secure. In this article we’ll discuss how you can write CRUD operations with MarkLogic Database so that you make the most of your data Continue Reading
Reading Time: 3 minutes Overview Firstly the goal of this blog is to walk you through setting up a new Maven project on a Linux, Unix, or Mac computer with PostgreSQL. You will generate an example project in this tutorial. Then follow the instructions to put the concepts you learn about building new Liquibase projects in Maven into practice. We will start this blog by installing and configuring Liquibase. Continue Reading
Reading Time: 3 minutes In today’s world of microservices, each microservice has its own set of information stored in some kind of data store. This data store can be either a database or some other system that can retain the data for a period of time. We moved to microservices because we didn’t want one set of functionality not to be impacted by the changes in other functionality. After Continue Reading
Reading Time: 3 minutes In this article, I am going to show you how to use Spring Boot as a RESTful web service and MarkLogic as a backend database and how to do marklogic integration with springboot application Introduction Assuming that you have a Springboot application which uses MarkLogic as backend service, this guide will show you how to integrate your application with MarkLogic. The first thing you need Continue Reading
Reading Time: 4 minutes MarkLogic brings all the features you need into one unified system as it is the only Enterprise NoSQL database. MarkLogic can bring multiple heterogeneous data sources into a single platform architecture, allowing for homogenous data access. For bringing the data we need to insert the documents. On the query console, we are able to perform the query according to requirements. Bringing in the documents There Continue Reading
Reading Time: 3 minutes What is Liquibase Liquibase is an open-source database-independent library for tracking, managing, and applying database schema changes. Basically, it works with various types of databases and supports various file formats for defining the database structure. The feature that is probably most useful in Liquibase is its ability to roll changes back and forward from a specific point and save you from needing to know what was the last Continue Reading
Reading Time: 3 minutes Marklogic: Databases are the foundation of modern applications and many companies rely on them to power their most important processes. Poor database performance can result in a business losing money, compromising customer data, or both. Introduction of MarkLogic MarkLogic Server is a powerful, yet underutilized, database technology with a promising future. Despite its many features and benefits, MarkLogic Server has been largely overshadowed by other Continue Reading
Reading Time: 3 minutes Introduction The MarkLogic Data Hub is a secure, scalable database platform. It is used to store and manage data across multiple cloud-based environments. It helps you create a virtualized database that may deploy in the cloud and on-premises. Perform day-to-day operations like creating reports or working with data directly in Excel or another spreadsheet application. The MarkLogic Data Hub provides many tools for getting started Continue Reading
Reading Time: 3 minutes Introduction Liquibase is an open-source tool. It is used for tracking, managing, and applying database schema changes. It works across different types of databases and supports various file formats for defining the database structure. The feature that is most attractive in Liquibase is its ability to roll changes back and forward from a specific point. In any application, if you change any tables for any requirements and if Continue Reading
Reading Time: 4 minutes This blog will show how we can use SQL statements in the MarkLogic server. Let us start with creating a schema and required databases. Create Schema Database and SQL database – For the SQL on Marklogic Server creation follow the below process – Every SQL database must have its own separate schema database. Open the browser with the admin credentials http://hostname : 8000 the hostname Continue Reading
Reading Time: 4 minutes In this blog, I will discuss the Semantic Data Model and its support in one of the enterprise NoSQL databases with an example. What is a Data Model Data models always come into the picture when we talk about any database and what type of data storage and query utility it provides. The data model defines the structure, as well as the relationships of data Continue Reading
Reading Time: 5 minutes Marklogic, Formally known as MarkLogic Server, is an enterprise NoSQL database with broad support for unstructured and unstructured data, including JSON, XML, RDF, text, and binary data types. MarkLogic has schema flexibility, High Scalability, high availability of a NoSQL database, and enterprise features. Before starting with how to make the communication let’s understand the MarkLogic system requirement. Christopher Lindblad founded MarkLogic in 2001, particularly in Continue Reading
Reading Time: 3 minutes Spring Data JPA Transaction Management : A Spring Data JPA Transaction Management has a sequence of actions that are bundled as a single piece of work. It is an important part of RDMBS-oriented applications to ensure data consistency and integrity. The transaction is a set of SQL statements that is naturally automatic in nature to manage the data. It has the following four key properties Continue Reading
