You can build any kinds of web apps and sites with this framework without consuming substantial server resources.
Google Cloud Dataflow might be a bit more popular than CodeIgniter. We know about 14 links to it since March 2021 and only 10 links to CodeIgniter. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
For history's sake, you should know that Laravel was built in place of the CodeIgniter framework as a modern replacement because the CodeIgniter framework missing important core features such as built-in support for user authentication and authorization. Since its initial launch in 2011, Laravel has implemented built-in support for localization, views, dealing with sessions, routing the request to the specific... - Source: dev.to / about 2 months ago
Visit the CodeIgniter official download page and download the latest version. - Source: dev.to / 2 months ago
CodeIgniter is an open-source PHP framework with 18k+ stars and 7.8K forks on GitHub. It follows the Model-View-Controller (MVC) architecture and provides a structured way to create and organize code. It provides a set of libraries and an intuitive interface to accelerate PHP web app development. - Source: dev.to / about 1 year ago
Over the years I have tried different frameworks, mostly in PHP, like Code Igniter (2010), ProcessWire (2014) and Laravel (2015). - Source: dev.to / over 2 years ago
CodeIgniter is an open-source php web application framework created by EllisLab Inc and it is now a project of British Columbia Institute of Technology. The framework implements a modified version of the Model-View-Controller design pattern. It is praised for its performance and the quality of its documentation. It's currently licensed under the MIT License, although the previous version was released under the... - Source: dev.to / over 2 years ago
Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: over 2 years ago
This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 2 years ago
I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: over 2 years ago
You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: over 2 years ago
It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / almost 3 years ago
Laravel - A PHP Framework For Web Artisans
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Django - The Web framework for perfectionists with deadlines
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
CakePHP - The Rapid Development Framework for PHP
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?