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Java

What Is The Difference Between Liquibase and SQL Injection?

Java, Liquibase,

Reading Time: 4 minutes Liquibase is a database change management system for software developers, DBAs, and data architects. It provides an easy-to-use platform for managing both relational and non-relational databases. Liquibase offers change tracking, versioning, and branching, so you can have multiple versions of your production schema with different changes applied on each branch. SQL Injection SQL injection is a type of attack where the attacker inserts malicious SQL Continue Reading

Basic Concepts of EventStoreDB

EventStoreDB, Java, java11

Reading Time: 3 minutes Introduction In this article, we will discuss EventStoreDB. EventStoreDB is a database that allows the user to read and store events into fine-grained streams, as well as read all or a subset of events. It is an approach to building applications focused on storing state changes as they occur. First, we’ll look at the core topics like events, event sourcing, and event streams. So let’s Continue Reading

Introduction to Liquibase – A Better Database Change Management Tool

Java, Liquibase

Reading Time: 3 minutes Liquibase is a database change operation tool designed to help you manage changes in your colorful databases as you move from development, test, and production env. It works by storing all the changes that have been made to a given database in one file i.e called a changelog. You can also load up the changelog on a new database and apply all of those changes Continue Reading

Publish and receive messages in Google Cloud Pub/Sub

GCP, Java,

Reading Time: 4 minutes What is Pub/Sub? Cloud Pub/Sub is a message queuing service that allows you to exchange messages between applications and microservices. It’s a scalable, durable, and highly available message-passing system that helps you build event-driven architectures. In this tutorial, we will show you how to use the Google Cloud console to publish and receive messages in Cloud Pub/Sub. We will also provide some tips on how Continue Reading

Smart Searching Through Trillion of Research Papers with Apache Spark ML

Features of Liquibase

Java

Reading Time: 3 minutes With Liquibase, you can specify the database modification you desire using SQL or a number of other database-independent forms, such as XML, YAML, and JSON. It is incredibly simple for developers to submit updates to many database types by abstracting the database logic. How does Liquibase work? The changeLog file is how Liquibase functions most frequently. One or more changeSets are contained in this text Continue Reading

Groovy CRUD Web App Using Micronaut

Java,

Reading Time: 3 minutes 1. About 1.1 Introduction Micronaut is an open-source JVM-based software framework for building lightweight, modular applications and microservices. It helps to create microservices with small memory footprints and quick startup time. 2. Use Case Let’s take a use case. We are going to create a web app with the help of Groovy and Micronaut to perform CRUD operations. For that, we have to implement the CRUD Continue Reading

Managing database schema with Liquibase

Java, java11, Tech Blogs, ,

Reading Time: 3 minutes What is Liquibase? First, Liquibase is an open-source database schema change management tool that makes it simple for you to handle database change revisions. How Does Liquibase Work? Regardless of your database platform, changes are defined in a platform-neutral language. In essence, you maintain a running list of modifications. And, Liquibase uses its execution engine to make those modifications for you. It requires the appropriate Continue Reading

Artificial Intelligence & MarkLogic: An Wonderful Architecture

Database, Java, java11, MarkLogic, ML, AI and Data Engineering, Tech Blogs, ,

Reading Time: 3 minutes Introduction Automation is a crucial part of the Artificial Intelligence cycle. It allows organizations to perform tasks that require human input and improves tradecraft. This also increases efficiency in order to keep pace with changing technologies and requirements. And MarkLogic is providing some extra benefits in implementing AI processes. MarkLogic has its own optimized algorithms and implementations of some AI methodologies. Achieved due to its Continue Reading

Implementation of SAGA with Axon FrameWork with SpringBoot Part – 2

Axon, ,

Reading Time: 5 minutes In Part 1 (this post), we will continue with our implementation and connect our services to the Axon Server. Common Service Implementation: Structure of Common Service: Payment Service Implementation: Payment Service Structure : Payment Aggregate: This service will receive the event and process it accordingly. Shipment Service Implementation: Shipment Service Structure : ShipmentAggregate: Will handle the event and process the incoming event.

Data centre

Liquibase with Spring Boot

Java, java11, Liquibase, Tech Blogs, ,

Reading Time: 3 minutes The purpose of this blog is to show you the process of using Liquibase as a piece of your Spring Boot workflow. Springboot makes it easy to create standalone, production-maven Spring-based applications. Introduction Liquibase is an open-source database that has an independent library for tracking, managing, and applying database schema changes. Liquibase was started in 2006 and it is used to allow easier tracking of database changes, especially in an agile software Continue Reading

Analyzing data.

Liquibase: Database change management

Database, Java

Reading Time: 3 minutes Liquibase is one of the most protean tools for database migration. It operates on almost all SQL database outlets. So whether you use MySQL, SQL Garçon, Oracle, Firebird, or a combination of these or any other common database platforms, it’s got you covered. It also runs in any CI/ CD channel so long as you can run Java, install the connectors, and connect to your databases. This Continue Reading

Visualizing data - blue matrix with data, electronic, digital, abstract, dark blue, data science

Sink Connector: The MarkLogic Kafka Connector

Java, , , ,

Reading Time: 2 minutes The MarkLogic Kafka connector is a sink connector for receiving messages from Kafka and writing them to a MarkLogic database. The sink pulls messages from the Kafka topics to store in MarkLogic as JSON documents. This acquires messages using Kafka from numerous brokers and then writes to marklogic with no coding required. The connector uses the MarkLogic Data Movement SDK (DMSDK) to store those messages in a Continue Reading

Implementation of SAGA with AxonFrameWork with SpringBoot Part.1

Axon, Microservices, ,

Reading Time: 6 minutes Introduction In Part 1 (this post), we will understand what Saga Pattern really is. We will start building the sample application using Saga Pattern. Continuing in Part 2, we will continue with our implementation. Saga Pattern proposes implementing distributed transactions in the form of Sagas. Whenever a local transaction occurs, it publishes a message or an event. Such an event is responsible for triggering the next Continue Reading

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