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Making PySpark Code Faster with DuckDB

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Apache Spark has been there for quite a while since its first release in 2014 and it’s a standard for data processing in the data world.

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BlogsAnnouncing: DuckDB code snippet sets with MotherDuck SharingMotherduck BlogsAnalyze JSON Data Using SQL and DuckDBMotherduck Blogspg_duckdb: Splicing Duck and Elephant DNAMotherduck BlogsUsing MotherDuck at MotherDuck: Loading Data from Postgres with DuckDBMotherduck BlogsThis Month in the DuckDB Ecosystem: January 2026Motherduck BlogsFrom Data Lake to Lakehouse: Can DuckDB be the best portable catalog?Motherduck BlogsDocs-as-code solutions for API teams: how to choose the right platform in 2026Mintlify BlogsMintlify Alternatives: What to Consider (and Why There's No True Substitute)Mintlify LearnBuild a Presentation Coaching Application with Recall - Deepgram Blog ⚡️Deepgram LearnNo Code Transcription: Simplifying Workflows with Deepgram and Make.comDeepgram NewsWhen CI Meets CD: Deliver With ConfidenceThenewstack NewsOso Unbundles Security AuthorizationThenewstack BlogsEmpower Your Team with Policy as CodePulumi BlogsAnnouncing the New Pulumi Partner ProgramPulumi BlogsFive Years of Infrastructure as CodePulumi BlogsNew Policy as Code Capabilities with CrossGuardPulumi BlogsSupporting Kubernetes with Faster, Easier Test EnvironmentsPulumi BlogsGodoc: documenting Go code - The Go Programming LanguageGo ResourcesManaging dependencies - The Go Programming LanguageGo BlogsAutomatic cipher suite ordering in crypto/tls - The Go Programming LanguageGo