RegEx Generator
RegExr
rubular
RegexPlanet Ruby
Expresso
Reggy
The Regex Coach
Regex Widget
Amazon EMR
Google BigQuery
Google Cloud Dataflow
Qubole
Google Cloud Dataproc
Databricks
Snowflake
HortonWorks Data Platform
RegEx Generator Amazon EMRRegEx Generator might be a bit more popular than Amazon EMR. We know about 12 links to it since March 2021 and only 10 links to Amazon EMR. 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.
It's not that bad. AutoRegex[0] and regex gen [1] make it more accessible than ever. [0]: https://www.autoregex.xyz/ [1]: https://regex-generator.olafneumann.org. - Source: Hacker News / 2 months ago
Whilst Regular Expressions are undeniably powerful --- virtually NOBODY knows how to set up Regular Expressions! There are a number of tools that help you build / test regular expressions, such as https://regex-generator.olafneumann.org/ or https://retool.com/utilities/regex-generator (no responsibilities accepted for the use of any of these tools!). Source: over 1 year ago
Ho did you arrive at the regex? I usually use a website to , such as https://regex101.com/, https://regexr.com/, https://regex-generator.olafneumann.org/ in combination of each other, as some explain better than the other. Source: almost 2 years ago
Is there a regex generator for Reddit's Automod or Python? I've already tried Googling "regex generator python" but I only came up with https://regex-generator.olafneumann.org/, https://pythex.org/, https://regex101.com/, and a whole bunch of build/testers. Olaf Neumann's generator seemed the most promising, but I couldn't get it to work because I didn't know how to separate each phrase, i.e. "you're dumb," "your... Source: about 2 years ago
Shout out to https://regex-generator.olafneumann.org/. Source: about 2 years 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: about 2 years ago
I'm going to guess you want something like EMR. Which can take large data sets segment it across multiple executors and coalesce the data back into a final dataset. Source: almost 3 years ago
This is exactly the kind of workload EMR was made for, you can even run it serverless nowadays. Athena might be a viable option as well. Source: almost 3 years ago
Apache Spark is one of the most actively developed open-source projects in big data. The following code examples require that you have Spark set up and can execute Python code using the PySpark library. The examples also require that you have your data in Amazon S3 (Simple Storage Service). All this is set up on AWS EMR (Elastic MapReduce). - Source: dev.to / over 3 years ago
Check out https://aws.amazon.com/emr/. Source: about 3 years ago
RegExr - RegExr.com is an online tool to learn, build, and test Regular Expressions.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
rubular - A ruby based regular expression editor
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
RegexPlanet Ruby - RegexPlanet offers a free-to-use Regular Expression Test Page to help you check RegEx in Ruby free-of-cost.
Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.