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: 4 minutes If you are looking for some easy resources to get started with the concepts of Amazon DynamoDB, then you are at the right place. In this blog, we’ll discuss about Amazon DynamoDB, its key concepts, terminology, benefits, use cases and also compare it with the Relational Databases. Introduction Amazon DynamoDB is a fully managed NoSQL database that supports key-value and document data models. With DynamoDB, 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: 3 minutes Install MarkLogic(10.0-9.4) in Ubuntu 20.04.4 : Mark-Logic Server is an Enterprise NoSQL database. It is a document-centric, transactional, search-centric, structure-aware, schema-agnostic, XQuery- and JavaScript-driven, high-performance, clustered, database server. It is an enterprise-class NoSQL database that includes a REST-enabled full-text search feature. You can use it to store, search, and query massive amounts of data and represent documents having various formats. It also exposes its core Continue Reading
Reading Time: 3 minutes We are living in the 20th century the century of technologies. Because of this, we come across a lot of data in our daily life. So it is important for us to have a database that can help in maintaining a huge amount of data. Now we have many popular databases in the market like PostgreSQL, Cassandra, MySQL MongoDB, and many more. But the question Continue Reading
Reading Time: 4 minutes Hi readers, In this blog, Initially we will learn about the mongoDB database, The architecture of mongoDB, the working of mongoDB and , why we should use mongoDB. At the end of this blog, we will compare mongoDB with other common databases so let’s get started. We all have been working on traditional SQL databases for a long time but with time, Data is also Continue Reading
Reading Time: 3 minutes We now live in a data driven world where we are generating so much data that it becomes difficult to manage this data using databases. There are different databases available for different use cases. For a long time Relational databases were used for most of the uses cases, but as the technology advanced and modern applications came which need more scalability and variety came into Continue Reading
Reading Time: 4 minutes Dgraph v1.1.0 was released on 3rd September, 2019 with significant changes and new features. So, It becomes important to know these changes that could break our existing code when we try to upgrade Dgraph with the new version. In this blog, we will cover the important changes introduced. We can find all the changes and new features detail in the change-log. 1. Predicates of type UID Continue Reading
Reading Time: 2 minutes Recently I got an invitation to present a guest lecture for faculty of Engineering colleges in ABES college of Engineering. I came up with the most trending topic i.e Reactive Architecture. We talked about what is this buzzing keywords and why does it came into existence. Also What are the challenges one were facing and how are the real world problems being solved by using Continue Reading
Reading Time: 4 minutes We are now generating massive volumes of data at an accelerated rate. To meet business needs, address changing market dynamics as well as improve decision-making, sophisticated analysis of this data from disparate sources is required. The challenge is how to capture, store and model these massive pools of data effectively in relational databases. Big data is not a fad. We are just at the beginning Continue Reading
Reading Time: 6 minutes Welcome back, everyone. It has been quite some time since I have been working with Cassandra. To be honest, it is a quite cool database. Its decentralized nature, as well as its ability to handle such a large volume of writes, is really commendable. But as we know nothing is perfect. So is the Cassandra Database. What I mean by this is that you cannot Continue Reading
