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Based on our record, Hadoop should be more popular than Scala Lang. It has been mentiond 16 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.
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
Try manually installing sbt without coursier. The instructions are on https://scala-lang.org. Source: almost 2 years ago
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
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
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
Data analysis software is also widely used in the telecommunications industry to manage network performance, detect fraud, and analyze customer data. Telecommunications companies can use data analysis software to analyze network data in real-time, allowing them to identify and address issues quickly. In addition, data analysis software can help telecommunications companies identify new revenue streams and improve... - Source: dev.to / 11 days ago
Did you check out tools like https://hadoop.apache.org/ ? Source: about 1 year ago
There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: over 1 year ago
There are several frameworks available for batch processing, such as Hadoop, Apache Storm, and DataTorrent RTS. - Source: dev.to / over 1 year ago
A copy of Hadoop installed on each of these machines. You can download Hadoop from the Apache website, or you can use a distribution like Cloudera or Hortonworks. - Source: dev.to / over 1 year ago
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
Haskell - An advanced purely-functional programming language
PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.