skim (fuzzy finder)
fzf
fzy
Peco
Percol
pick (fuzzy search)
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Hadoop
Apache Spark
Apache Cassandra
PostgreSQL
Apache Flink
MongoDB
Apache Storm
Amazon EMR
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Based on our record, Hadoop seems to be a lot more popular than skim (fuzzy finder). While we know about 17 links to Hadoop, we've tracked only 1 mention of skim (fuzzy finder). 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.
That's great, thank you! Does it check recursive dependencies, and could you make it work against a package you haven't installed yet, by specifying the package name as an argument, rather than it only looking at what's already installed? If that's possible, it would be really good to then run it against a list of popular packages, like [1] or [2], and report back which packages are the highest priority for... - Source: Hacker News / over 2 years ago
In this project, I'm exploring the Medallion Architecture which is a data design pattern that organizes data into different layers based on structure and/or quality. I'm creating a fictional scenario where a large enterprise that has several branches across the country. Each branch receives purchase orders from an app and deliver the goods to their customers. The enterprise wants to identify the branch that... - Source: dev.to / 19 days 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 / about 1 month 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
fzf - A command-line fuzzy finder written in Go
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
fzy - A better fuzzy finder
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
Peco - Peco Foods, a poultry products provider for industrial, retail and food service markets, is dedicated to customer satisfaction, value and total quality management.
PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.
