sparksql
Here are 251 public repositories matching this topic...
Geo Spatial Data Analytics on Spark
-
Updated
Aug 26, 2021 - Scala
Scala examples for learning to use Spark
-
Updated
Sep 17, 2020 - Scala
Process Common Crawl data with Python and Spark
-
Updated
Aug 3, 2024 - Python
Data Accelerator for Apache Spark simplifies onboarding to Streaming of Big Data. It offers a rich, easy to use experience to help with creation, editing and management of Spark jobs on Azure HDInsights or Databricks while enabling the full power of the Spark engine.
-
Updated
Sep 2, 2024 - C#
Sparkline BI Accelerator provides fast ad-hoc query capability over Logical Cubes. This has been folded into our SNAP Platform(http://bit.ly/2oBJSpP) an Integrated BI platform on Apache Spark.
-
Updated
Aug 3, 2018 - Scala
Geospatial Raster support for Spark DataFrames
-
Updated
Apr 3, 2024 - Jupyter Notebook
Quill for Scala 3
-
Updated
Aug 30, 2024 - Scala
A prototype project of big data platform, the source codes of the book Big Data Platform Architecture and Prototype
-
Updated
Aug 12, 2020 - Java
Spring-Shiro-Spark是Spring-Boot Hibernate Spark Spark-SQL Shiro iView VueJs... ...的集成尝试
-
Updated
Dec 18, 2017 - Java
PySpark functions and utilities with examples. Assists ETL process of data modeling
-
Updated
Dec 3, 2020 - Jupyter Notebook
A JupyterLab extension providing, SQL formatter, auto-completion, syntax highlighting, Spark SQL and Trino
-
Updated
Sep 2, 2024 - Jupyter Notebook
type-class based data cleansing library for Apache Spark SQL
-
Updated
Jun 23, 2019 - Scala
Bulletproof Apache Spark jobs with fast root cause analysis of failures.
-
Updated
Mar 14, 2021 - Scala
Google Spreadsheets datasource for SparkSQL and DataFrames
-
Updated
Jul 24, 2023 - Scala
已经合入(apache/incubator-kyuubi) ACL Management for Apache Spark SQL with Apache Ranger.
-
Updated
Nov 11, 2021 - Scala
Improve this page
Add a description, image, and links to the sparksql topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the sparksql topic, visit your repo's landing page and select "manage topics."