Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
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Nov 10, 2026 - TypeScript
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Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
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Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.
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Apache Kyuubi is a distributed and multi-tenant gateway to provide serverless SQL on data warehouses and lakehouses.
.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.
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A Scala kernel for Jupyter
Gluten is a middle layer responsible for offloading JVM-based SQL engines' execution to native engines.
This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]
🐍 Quick reference guide to common patterns & functions in PySpark.
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Qubole Sparklens tool for performance tuning Apache Spark
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The Internals of Spark SQL
A data lakehouse on Databricks with the medallion architecture: PySpark, Spark SQL, Delta Lake and Unity Catalog. The project of the free Databricks bootcamp.
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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.
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Practice Databricks coding skills with hands-on exercises. Import into Databricks Free Edition, write code, run assertions, check pass/fail. Covers Delta Lake, Spark SQL, PySpark, Auto Loader, medallion architecture, window functions, and more.
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Use SQL to build ELT pipelines on a data lakehouse.
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Apache Spark™ and Scala Workshops
Qbeast-spark: DataSource enabling multi-dimensional indexing and efficient data sampling. Big Data, free from the unnecessary!
A complete example of a big data application using : Kubernetes (kops/aws), Apache Spark SQL/Streaming/MLib, Apache Flink, Scala, Python, Apache Kafka, Apache Hbase, Apache Parquet, Apache Avro, Apache Storm, Twitter Api, MongoDB, NodeJS, Angular, GraphQL
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