Google Cloud Platform (GCP) is a large, cloud-based suite that includes tools for computing, storing data, networking, analyzing big data, networking, managing APIs, and exploring artificial intelligence. The suite includes at least three GCP ETL tools (Cloud Data, Fusion, Dataflow, and Dataproc). However, some users might find that they benefit from a third-party, no-code/low-code ETL platform.

Data and its sources are expanding fast. Businesses need effective extract, transform, and load (ETL) tools to process data, clean it up, and use it to make data-driven decisions. And many organizations require ETL tools that play well with Google Cloud SQL.

Here we’ll review Azure SQL vs MySQL, and what their differences are. Databases have been around for ages. From ancient paper based records to modern computerized systems, they essentially serve one purpose, which is to enable data storage in a way that is structured, permanent and easily retrievable or referenced, while maintaining its integrity. Here’s the key things to know about picking Azure SQL vs MySQL: Table of Contents.

It’s no surprise that cloud spending is rapidly increasing, so it’s also no surprise that controlling those rapidly increasing cloud costs is a top priority for business, technology, and data leaders. According to Gartner, the use of public cloud computing has increased IT spending for most organizations (54%) over the last three years, with only 29% reporting that the cloud decreased IT spending.

One of the hardest debates is deciding between a code-first API approach or design-first. In an ideal world, we would deliver our APIs at maximum velocity, with minimum maintenance. To maintain the appropriate API consumption, the world has looked at Amazon’s API Gateway as the orchestration of resources to create, deploy, and manage APIs at scale. One of the biggest challenges users face when using any API Gateway is the lack of consistency and standardization throughout the API experience.

Evaluating your business’ legacy to cloud migration strategy is a necessary step for successful digital transformation. Legacy systems are old software applications and infrastructure that are still in use by businesses today. They were often built on outdated technologies and may not be compatible with modern cloud platforms. However, legacy systems can also provide a number of benefits, such as stability, reliability, and familiarity.

Learn all about Fivetran’s new Delta Lake on Azure destination.