project-atlas-sao-paulo
synapse-azure-data-explorer-101
| project-atlas-sao-paulo | synapse-azure-data-explorer-101 | |
|---|---|---|
| 2 | 1 | |
| 9 | 4 | |
| - | - | |
| 5.5 | 0.0 | |
| almost 3 years ago | almost 3 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | - |
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.
project-atlas-sao-paulo
synapse-azure-data-explorer-101
-
Getting started with Azure Data Explorer and Azure Synapse Analytics for Big Data processing
Notebooks are available in this GitHub repo — https://github.com/abhirockzz/synapse-azure-data-explorer-101
What are some alternatives?
fastbook - The fastai book, published as Jupyter Notebooks
azure-kusto-spark - Apache Spark Connector for Azure Kusto
project - Predict how many points an European football team will end the season with, according to the characteristics of its players. Project for the Big Data Computing course at Sapienza University of Rome (2021-22)
ngods-stocks - New Generation Opensource Data Stack Demo
dracula - a brief analysis to the most common words in Dracula, by Bram Stoker
app - Prototype toolkit for sustainable urban design at the speed of thought.
pyspark-tutorial - PySpark Tutorial for Beginners - Practical Examples in Jupyter Notebook with Spark version 3.4.1. The tutorial covers various topics like Spark Introduction, Spark Installation, Spark RDD Transformations and Actions, Spark DataFrame, Spark SQL, and more. It is completely free on YouTube and is beginner-friendly without any prerequisites.
workshop-introduction-to-machine-learning - Come ready to discover the goals and approaches of machine learning, and how to build effective algorithms and solutions!
anovos - Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark
pyspark_nlp_workshop - Instructions and code for the workshop "From Big Data to NLP Insights: Unlocking the Power of PySpark and Spark NLP"