azure-kusto-spark
synapse-azure-data-explorer-101
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| azure-kusto-spark | synapse-azure-data-explorer-101 | |
|---|---|---|
| 1 | 1 | |
| 74 | 4 | |
| - | - | |
| 6.8 | 0.0 | |
| 7 days ago | almost 3 years ago | |
| Scala | Jupyter Notebook | |
| Apache License 2.0 | - |
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azure-kusto-spark
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Getting started with Azure Data Explorer and Azure Synapse Analytics for Big Data processing
Azure Data Explorer is a fully managed data analytics service that can handle large volumes of diverse data from any data source, such as websites, applications, IoT devices, and more. Azure Data Explorer makes it simple to ingest this data and enables you to do complex ad hoc queries on the data in seconds. It scales quickly to terabytes of data, in minutes, allowing rapid iterations of data exploration to discover relevant insights. It is already integrated with Apache Spark work via the Data Source and Data Sink Connector and is used to power solutions for near real-time data processing, data archiving, machine learning etc.
synapse-azure-data-explorer-101
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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?
deequ - Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
ngods-stocks - New Generation Opensource Data Stack Demo
kusto-queries - example queries for learning the kusto language
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)
SynapseML - Simple and Distributed Machine Learning
dracula - a brief analysis to the most common words in Dracula, by Bram Stoker
frameless - Expressive types for Spark.
workshop-introduction-to-machine-learning - Come ready to discover the goals and approaches of machine learning, and how to build effective algorithms and solutions!
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
project-atlas-sao-paulo - A project for the development of rich geospatial data from the city of São Paulo for use in Machine Learning models.
pyspark_nlp_workshop - Instructions and code for the workshop "From Big Data to NLP Insights: Unlocking the Power of PySpark and Spark NLP"