PySpark_BigData-Analysis | Big Data that provides a general data processing platform
kandi X-RAY | PySpark_BigData-Analysis Summary
kandi X-RAY | PySpark_BigData-Analysis Summary
PySpark_BigData-Analysis is a Jupyter Notebook library. PySpark_BigData-Analysis has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
Spark is a “lightning-fast cluster computing” framework for Big Data that provides a general data processing platform engine and lets you run programs up to 100x faster in memory, or 10x faster on disk, than Hadoop.This course is for data science enthusiast learners who will use PySpark, a Python package for Spark programming and its powerful, higher-level libraries such as SparkSQL, MLlib (for machine learning), etc.At the end of this course, you will have gained an in-depth understanding of PySpark and its application to general Big Data analysis.
Spark is a “lightning-fast cluster computing” framework for Big Data that provides a general data processing platform engine and lets you run programs up to 100x faster in memory, or 10x faster on disk, than Hadoop.This course is for data science enthusiast learners who will use PySpark, a Python package for Spark programming and its powerful, higher-level libraries such as SparkSQL, MLlib (for machine learning), etc.At the end of this course, you will have gained an in-depth understanding of PySpark and its application to general Big Data analysis.
Support
Quality
Security
License
Reuse
Support
PySpark_BigData-Analysis has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
PySpark_BigData-Analysis has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of PySpark_BigData-Analysis is current.
Quality
PySpark_BigData-Analysis has no bugs reported.
Security
PySpark_BigData-Analysis has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
PySpark_BigData-Analysis is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
PySpark_BigData-Analysis releases are not available. You will need to build from source code and install.
Top functions reviewed by kandi - BETA
kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of PySpark_BigData-Analysis
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of PySpark_BigData-Analysis
PySpark_BigData-Analysis Key Features
No Key Features are available at this moment for PySpark_BigData-Analysis.
PySpark_BigData-Analysis Examples and Code Snippets
No Code Snippets are available at this moment for PySpark_BigData-Analysis.
Community Discussions
No Community Discussions are available at this moment for PySpark_BigData-Analysis.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install PySpark_BigData-Analysis
You can download it from GitHub.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
Find more information at:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
