Scala Lang Reviews

Apache Airflow Reviews

Scala Lang mentions (5)

• how to setup scala

  I have a new windows 10 and downloaded the Coursier installer from scala-lang.org, the https://docs.scala-lang.org/getting-started/index.html says that you should have either java8 or java11 installed but most tutorials online and posts says to install latest version of java, which java jdk version should I install or does Coursier install it for me or do I choose the latest jdk (java-jdk-19)? Source: over 1 year ago

• [NEWBIE] Problem with the very first project (Coursier installer, Win 10, Java 8)

  Try manually installing sbt without coursier. The instructions are on https://scala-lang.org. Source: almost 2 years ago

• The “Either” Issue

  I had met the core developers, we had discussing a lot about which technology would better address our demand and, after many considerations, we had chosen Scala. - Source: dev.to / over 2 years ago

• Next programming language?

  I like scala. It combines object-oriented and functional programming into one high-level language, which makes it fun to learn. I don't know if it is popular in the robotics industry, but it runs on the jvm and can be combined with java, so there is that. I recommend the book "programming scala". Source: over 2 years ago

• 25 years of OCaml

  Scala with the Typelevel ecosystem. Stay on the jVM, but have a much more pleasant and robust experience, including a great REPL. Source: about 3 years ago

Apache Airflow mentions (67)

• 10 Open Source Tools for Building MLOps Pipelines

  An integral part of an ML project is data acquisition and data transformation into the required format. This involves creating ETL (extract, transform, load) pipelines and running them periodically. Airflow is an open source platform that helps engineers create and manage complex data pipelines. Furthermore, the support for Python programming language makes it easy for ML teams to adopt Airflow. - Source: dev.to / 10 days ago

• AI Strategy Guide: How to Scale AI Across Your Business

  Level 1 of MLOps is when you've put each lifecycle stage and their intefaces in an automated pipeline. The pipeline could be a python or bash script, or it could be a directed acyclic graph run by some orchestration framework like Airflow, dagster or one of the cloud-provider offerings. AI- or data-specific platforms like MLflow, ClearML and dvc also feature pipeline capabilities. - Source: dev.to / about 1 month ago

• The 2024 Web Hosting Report

  For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules. - Source: dev.to / 4 months ago

• Best ETL Tools And Why To Choose

  Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows. Source: 7 months ago

• Simplifying Data Transformation in Redshift: An Approach with DBT and Airflow

  Airflow is the most widely used and well-known tool for orchestrating data workflows. It allows for efficient pipeline construction, scheduling, and monitoring. - Source: dev.to / 8 months ago