spark-sql-perf
By databricks
Scala_Practice
All the assignment solutions to the Coursera Scala specialisation course (by 97arushisharma)
spark-sql-perf | Scala_Practice | |
---|---|---|
2 | 1 | |
557 | 2 | |
0.0% | - | |
0.0 | 10.0 | |
about 2 years ago | almost 3 years ago | |
Scala | Scala | |
Apache License 2.0 | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
spark-sql-perf
Posts with mentions or reviews of spark-sql-perf.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-15.
- Well designed scala/spark project
-
Spark ML examples using large datasets
You may be interested in Databrick's spark-sql-perf project. I have not used it but am interesting in using it or something like it.
Scala_Practice
Posts with mentions or reviews of Scala_Practice.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-15.
-
Well designed scala/spark project
https://github.com/MrPowers/spark-fast-tests https://github.com/97arushisharma/Scala_Practice/tree/master/BigData_Analysis_with_Scala_and_Spark/wikipedia
What are some alternatives?
When comparing spark-sql-perf and Scala_Practice you can also consider the following projects:
deequ - Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.