Based on our record, Delta Lake should be more popular than Django. It has been mentiond 31 times since March 2021. 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.
Delta is pretty great, let's you do upserts into tables in DataBricks much easier than without it. I think the website is here: https://delta.io. - Source: Hacker News / 4 months ago
Apache Iceberg is one of the three types of lakehouse, the other two are Apache Hudi and Delta Lake. - Source: dev.to / 5 months ago
The Apache Spark / Databricks community prefers Apache parquet or Linux Fundation's delta.io over json. Source: 6 months ago
Databricks provides Jupyter lab like notebooks for analysis and ETL pipelines using spark through pyspark, sparkql or scala. I think R is supported as well but it doesn't interop as well with their newer features as well as python and SQL do. It interfaces with cloud storage backend like S3 and offers some improvements to the parquet format of data querying that allows for updating, ordering and merged through... - Source: Hacker News / 11 months ago
Structured, Semi-structured and Unstructured can be stored in one single format, a lakehouse storage format like Delta, Iceberg or Hudi (assuming those don't require low-latency SLAs like subsecond). Source: 12 months ago
Django is a high-level Python web framework. It is an Model-View-Template(MVT)-based, open-source web application development framework. It was released in 2005. It comes with batteries included. Some popular websites using Django are Instagram, Mozilla, Disqus, Bitbucket, Nextdoor and Clubhouse. - Source: dev.to / over 1 year ago
This seems like a job for Django. MDN offers a really good tutorial here. To be honest, it would be a massive undertaking so I’d recommend going for a prebuilt solution like PowerSchool and the like. Source: almost 2 years ago
The first party docs are second to none. Start out with the official tutorial on https://djangoproject.com . Source: almost 2 years ago
Im teaching myself to build a backend SaaS. Can you build it just as fast as with RoR and gems? Is it all on the documentation on djangoproject.com? Just learning how to use it atm, any good tutorials as well? Source: almost 2 years ago
I have worked with Django before and have recently seen the Play framework. Source: about 2 years ago
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Laravel - A PHP Framework For Web Artisans
Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...
GeoSpock - GeoSpock is the platform for data lake management, providing a unified view of the data assets within an organization and making it easily accessible.
Flask - a microframework for Python based on Werkzeug, Jinja 2 and good intentions.