116 skills found · Page 1 of 4
Data-Centric-AI-Community / Ydata Profiling1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
mahmoudparsian / Pyspark TutorialPySpark-Tutorial provides basic algorithms using PySpark
graphframes / GraphframesGraphFrames is a package for Apache Spark which provides DataFrame-based Graphs
databricks / Tensorframes[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark
capitalone / DatacompyPandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!
spark-examples / Spark Scala ExamplesThis project provides Apache Spark SQL, RDD, DataFrame and Dataset examples in Scala language
databricks / Spark XmlXML data source for Spark SQL and DataFrames
ing-bank / PopmonMonitor the stability of a Pandas or Spark dataframe ⚙︎
GoogleCloudDataproc / Spark Bigquery ConnectorBigQuery data source for Apache Spark: Read data from BigQuery into DataFrames, write DataFrames into BigQuery tables.
Huawei-Spark / Spark SQL On HBaseNative, optimized access to HBase Data through Spark SQL/Dataframe Interfaces
zero-one-group / GeniA Clojure dataframe library that runs on Spark
locationtech / RasterframesGeospatial Raster support for Spark DataFrames
26hzhang / StockPredictionPlain Stock Close-Price Prediction via Graves LSTM RNNs
dvgodoy / HandysparkHandySpark - bringing pandas-like capabilities to Spark dataframes
julioasotodv / Spark Df ProfilingCreate HTML profiling reports from Apache Spark DataFrames
capeprivacy / Cape DataframesPrivacy transformations on Spark and Pandas dataframes backed by a simple policy language.
mahmoudparsian / Big Data Mapreduce CourseBig Data Modeling, MapReduce, Spark, PySpark @ Santa Clara University
spotify / Spark BigqueryGoogle BigQuery support for Spark, SQL, and DataFrames
allwefantasy / Spark BinlogA library for querying Binlog with Apache Spark structure streaming, for Spark SQL , DataFrames and [MLSQL](https://www.mlsql.tech).
coder2j / Pyspark TutorialPySpark 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.
