Based on our record, Hadoop should be more popular than Perl. 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.
But what would be a better symbol? I just saw, that perl.org also has a littel camel face on the site :-). Source: 12 months ago
And just while I wrote this I saw this on perl.org which may be an interesting read (although I prefer writing some things in Bash despite being a 20 year+ perl user). Source: over 1 year ago
I'm going through the textbook "Beginning Perl" located at perl.org, and I'm having a confuse with one of the example questions. I'm supposed to determine the order of operations for 26 + 3 ^ 4 * 2. According to the precedence table in the textbook, + and * come before ^. So I think the answer should be ((26 + 3) ^ (4 * 2)), but the book says the answer is 26 + (3 ^ (4 * 2)). Can anyone help me figure out what... Source: about 2 years ago
See "A regularly updated compendium of Perl IDEs to be hosted on perl.org" at https://grants.perlfoundation.org/. Source: about 3 years ago
Use Net::Curl::Easier; Use Net::Curl::Promiser::Mojo; Use Mojo::Promise; My $easy1 = Net::Curl::Easier->new( url => 'http://perl.org', followlocation => 1, ); My $easy2 = Net::Curl::Easier->new( username => 'hal', userpwd => 'itsasecret', url => 'imap://mail.example.com/INBOX/;UID=123', ); My $easy3 = Net::Curl::Easier->new( username => 'hal', userpwd => 'itsasecret', url =>... - Source: dev.to / over 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
Python - Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.
Go Programming Language - Go, also called golang, is a programming language initially developed at Google in 2007 by Robert...
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.