Thoughts on distributed databases, open source and cloud native
If you’re a database developer, you already understand the importance of a tool to manage your databases. Whether it is for creating schemas, ad-hoc querying, backups, or diving deeper to troubleshoot a database issue, a database tool can make your life much easier and increase your productivity. In a previous post we covered how to get started with DBeaver,
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Read MoreIn this post we are going to walk you through how to download and install the PostgreSQL version of the Chinook sample DB on the YugaByte DB distributed SQL database with a replication factor of 3.
What’s YugaByte DB? It’s a high performance distributed SQL database for global, internet-scale apps. YugaByte DB is a PostgreSQL-compatible database.
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Read MoreIf you’re a database developer, you know that you need different SQL statements for creating schemas, ad-hoc querying, initiating backups, or troubleshooting. For these scenarios, finding the right graphical tool, can speed up these tasks and make you more productive. Over the years, the PostgreSQL community has developed several open-sourced graphical tools for managing PostgreSQL databases, visualizing the datasets it contains,
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Read MoreSportsDB is a sample dataset compiled from multiple sources, encompassing a variety of sports including football, baseball, ice hockey and more. It also cross-references many different types of content media. It is capable of supporting queries for the most intense of sports data applications, yet is simple enough for use by those with minimal database experience. The database itself is comprised of over 100 tables and just as many sequences,
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Read MorePgExercises is a sample dataset used to power the PostgreSQL Exercises website. The site is comprised of over 80 exercises designed to be used as a companion to the official PostgreSQL documentation. The exercises on the PGExercises site range from simple SELECT statements and WHERE clauses, through JOINs and CASE statements, then on to aggregations, window functions,
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Read MoreThe Northwind database is a sample database that was originally created by Microsoft and used as the basis for their tutorials in a variety of database products for decades. The Northwind database contains the sales data for a fictitious company called “Northwind Traders,” which imports and exports specialty foods from around the world. The Northwind database is an excellent tutorial schema for a small-business ERP,
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Read MorePrimary and foreign key constraints are as essential to a relational database as are tables and columns—without these, you cannot implement a design that conforms to the relational model. Their implementation is a technical challenge. For example, when child rows are inserted, their parent rows must be efficiently restricted; and when parent rows are deleted, multi-table transactions are needed. Nevertheless,
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Read MoreIn our previous post “Develop IoT Apps with Confluent Kafka, KSQL, Spring Boot & Distributed SQL”, we highlighted how Confluent Kafka, KSQL, Spring Boot and YugaByte DB can be integrated to develop an application responsible for managing Internet-of-Things (IoT) sensor data. In this post, we will review the challenges and best practices associated with deploying such a stateful streaming application on Kubernetes.
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Read MoreThe Spring application development framework is arguably the most popular framework among Java developers. However, given its extensive breadth and depth, it can be difficult to learn for new users. As the name suggests, Spring Boot makes it easy to boot up with the Spring framework. It shortens development time by taking an opinionated view of the framework and the associated third-party libraries.
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Read MoreIn our previous post “5 Reasons Why Apache Kafka Needs a Distributed SQL Database”, we highlighted why Kafka-based data services need a distributed SQL database like YugaByte DB as their highly scalable, long-term persistent data store. In this post, we show how Confluent Kafka, KSQL, Spring Boot and YugaByte DB can be integrated to develop an application for managing Internet-of-Things (IoT) sensor data.
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