Systems | Development | Analytics | API | Testing

The world of big data is getting bigger every day. As the volume of data increases exponentially, businesses of all sizes try to capture raw data, process it, and extract insights for competitive decision-making. The end-to-end operation of extracting value from data is called the ETL process. It stands for: A crucial component of the ETL process is the data storage aspect. The two main contentious architectures for storage solutions are databases and data warehouses. But how do they differ?

In this guide, we'll discuss what a database schema is, six database schema designs, and how and why they are used. We know a lot of thought goes into database construction. Before creating any database, developers plan what it should include and how the different aspects work together. This planning ensures a database has the necessary design for its intended use. Coders then use the schema to implement the database’s design.

Built by our long-time community expert Apoorv Vardhan, the Ably-Postgres connector can listen to changes in a Postgres table and publish realtime messages on Ably channels whenever a change occurs. The connector enables building database-driven realtime applications where long-term storage and update triggers from previously published messages are essential. One such example is an editable chat app, which we’ll talk about later in this article.

Every computer application must have a method of storing, managing and using data. This requires an application and at least one database that can communicate with each other. Managing this connection can be difficult, especially with multiple databases. Fortunately, there are platforms that can manage databases and connections applications more efficiently. Heroku offers a Postgres management system for creating, managing, and using databases.

Have you been wanting to migrate your Heroku Postgres data to NetSuite but don’t know where to begin? We’ve put together a guide that will help make your migration seamless and included some tips to make the migration as smooth as possible.

Distributed systems have unlocked high performance at a large scale and low latency. You can run your applications worldwide from the comfort of your Amazon Web Services (AWS) platform in California, but the user adding an item to their shopping cart in Japan will not notice any delay or system faults. However, distributed systems - and specifically distributed database systems - also malfunction.

Fivetran dbt Packages accelerate analytics with off-the-shelf SQL for data modeling.