Alternatives and similar repositories for apache-spark-docker

Users that are interested in apache-spark-docker are comparing it to the libraries listed below

• EthicalML / kafka-spark-streaming-zeppelin-docker
  One click deploy docker-compose with Kafka, Spark Streaming, Zeppelin UI and Monitoring (Grafana + Kafka Manager)
  ☆120Updated 4 years ago
• vim89 / datapipelines-essentials-python
  Simplified ETL process in Hadoop using Apache Spark. Has complete ETL pipeline for datalake. SparkSession extensions, DataFrame validatio…
  ☆56Updated 2 years ago
• mahmoudparsian / data-algorithms-with-spark
  O'Reilly Book: [Data Algorithms with Spark] by Mahmoud Parsian
  ☆228Updated 2 years ago
• TomLous / medium-spark-k8s
  Spark on Kubernetes using Helm
  ☆33Updated 5 years ago
• delta-io / delta-examples
  Delta Lake examples
  ☆238Updated last year
• PacktPublishing / Data-Engineering-with-Apache-Spark-Delta-Lake-and-Lakehouse
  Data Engineering with Spark and Delta Lake
  ☆106Updated 3 years ago
• LearningJournal / SparkProgrammingInScala
  Apache Spark Course Material
  ☆96Updated 2 years ago
• cartershanklin / hive-scd-examples
  How to manage Slowly Changing Dimensions with Apache Hive
  ☆55Updated 6 years ago
• ysfesr / Building-Data-LakeHouse
  Creation of a data lakehouse and an ELT pipeline to enable the efficient analysis and use of data
  ☆49Updated 2 years ago
• arempter / hive-metastore-docker
  Example for article Running Spark 3 with standalone Hive Metastore 3.0
  ☆103Updated 3 years ago
• vivek-bombatkar / Spark-with-Python---My-learning-notes-
  ETL pipeline using pyspark (Spark - Python)
  ☆116Updated 5 years ago
• delta-io / delta-docs
  Delta Lake Documentation
  ☆53Updated last year
• indiacloudtv / structuredstreamingkafkapyspark
  Apche Spark Structured Streaming with Kafka using Python(PySpark)
  ☆40Updated 6 years ago
• panovvv / hadoop-hive-spark-docker
  Base Docker image with just essentials: Hadoop, Hive and Spark.
  ☆69Updated 5 years ago
• hyunjoonbok / PySpark
  PySpark functions and utilities with examples. Assists ETL process of data modeling
  ☆104Updated 5 years ago
• shravan-kuchkula / udacity-data-eng-proj-1
  Developed a data pipeline to automate data warehouse ETL by building custom airflow operators that handle the extraction, transformation,…
  ☆89Updated 4 years ago
• itversity / data-engineering-spark
  ☆88Updated 3 years ago
• sparkbyexamples / spark-examples
  Spark Examples
  ☆127Updated 4 years ago
• jaceklaskowski / spark-delta-lake-workshop
  Spark and Delta Lake Workshop
  ☆22Updated 3 years ago
• dimajix / flowman
  Flowman is an ETL framework powered by Apache Spark. With its declarative approach, Flowman simplifies the development of complex data pi…
  ☆97Updated this week
• mikulskibartosz / check-engine
  Data validation library for PySpark 3.0.0
  ☆33Updated 3 years ago
• LearningJournal / Spark-Streaming-In-Python
  Apache Spark 3 - Structured Streaming Course Material
  ☆126Updated 2 years ago
• sankamuk / PysparkCheatsheet
  PySpark Cheatsheet
  ☆36Updated 3 years ago
• SETL-Framework / setl
  A simple Spark-powered ETL framework that just works 🍺
  ☆183Updated 4 months ago
• polyzos / stream-processing-with-apache-flink
  ☆65Updated last year
• rockthejvm / spark-optimization
  The official repository for the Rock the JVM Spark Optimization with Scala course
  ☆58Updated 2 years ago
• bitsondatadev / trino-getting-started
  ☆270Updated last year
• arezamoosavi / AcidOnSpark-ETL
  Delta-Lake, ETL, Spark, Airflow
  ☆48Updated 3 years ago
• cordon-thiago / airflow-spark
  Docker with Airflow and Spark standalone cluster
  ☆262Updated 2 years ago
• saikrishnapujari / Spark-Nested-Data-Parser
  Nested Data (JSON/AVRO/XML) Parsing and Flattening in Spark
  ☆16Updated 2 years ago