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DuckDB in Action, Video Edition

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7:39:53

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  • 001. Chapter 1. An introduction to DuckDB.mp4
    04:58
  • 002. Chapter 1. Why should you care about DuckDB.mp4
    02:27
  • 003. Chapter 1. When should you use DuckDB.mp4
    01:47
  • 004. Chapter 1. When should you not use DuckDB.mp4
    01:26
  • 005. Chapter 1. Use cases.mp4
    02:16
  • 006. Chapter 1. Where does DuckDB fit in.mp4
    01:56
  • 007. Chapter 1. Steps of the data processing flow.mp4
    08:36
  • 008. Chapter 1. Summary.mp4
    01:05
  • 009. Chapter 2. Getting started with DuckDB.mp4
    01:38
  • 010. Chapter 2. Installing the DuckDB CLI.mp4
    01:03
  • 011. Chapter 2. Using the DuckDB CLI.mp4
    03:46
  • 012. Chapter 2. DuckDB s extension system.mp4
    02:24
  • 013. Chapter 2. Analyzing a CSV file with the DuckDB CLI.mp4
    06:19
  • 014. Chapter 2. Summary.mp4
    00:46
  • 015. Chapter 3. Executing SQL queries.mp4
    03:06
  • 016. Chapter 3. Analyzing energy production.mp4
    07:02
  • 017. Chapter 3. Data definition language queries.mp4
    10:44
  • 018. Chapter 3. Data manipulation language queries.mp4
    34:00
  • 019. Chapter 3. DuckDB-specific SQL extensions.mp4
    12:44
  • 020. Chapter 3. Summary.mp4
    01:18
  • 021. Chapter 4. Advanced aggregation and analysis of data.mp4
    04:41
  • 022. Chapter 4. Summarizing data.mp4
    01:10
  • 023. Chapter 4. On subqueries.mp4
    07:28
  • 024. Chapter 4. Grouping sets.mp4
    04:36
  • 025. Chapter 4. Window functions.mp4
    15:03
  • 026. Chapter 4. Conditions and filtering outside the WHERE clause.mp4
    05:50
  • 027. Chapter 4. The PIVOT statement.mp4
    05:33
  • 028. Chapter 4. Using the ASOF JOIN.mp4
    03:52
  • 029. Chapter 4. Using table functions.mp4
    04:11
  • 030. Chapter 4. Using LATERAL joins.mp4
    05:05
  • 031. Chapter 4. Summary.mp4
    01:30
  • 032. Chapter 5. Exploring data without persistence.mp4
    03:42
  • 033. Chapter 5. Inferring file type and schema.mp4
    06:00
  • 034. Chapter 5. Shredding nested JSON.mp4
    09:31
  • 035. Chapter 5. Translating CSV to Parquet.mp4
    09:48
  • 036. Chapter 5. Analyzing and querying Parquet files.mp4
    06:25
  • 037. Chapter 5. Querying SQLite and other databases.mp4
    05:22
  • 038. Chapter 5. Working with Excel files.mp4
    02:47
  • 039. Chapter 5. Summary.mp4
    01:16
  • 040. Chapter 6. Integrating with the Python ecosystem.mp4
    05:58
  • 041. Chapter 6. Using the relational API.mp4
    18:51
  • 042. Chapter 6. Querying pandas DataFrames.mp4
    03:05
  • 043. Chapter 6. User-defined functions.mp4
    08:32
  • 044. Chapter 6. Interoperability with Apache Arrow and Polars.mp4
    05:04
  • 045. Chapter 6. Summary.mp4
    01:12
  • 046. Chapter 7. DuckDB in the cloud with MotherDuck.mp4
    06:23
  • 047. Chapter 7. Getting started with MotherDuck.mp4
    05:24
  • 048. Chapter 7. Making the best possible use of MotherDuck.mp4
    21:55
  • 049. Chapter 7. Summary.mp4
    01:11
  • 050. Chapter 8. Building data pipelines with DuckDB.mp4
    04:53
  • 051. Chapter 8. Data ingestion with dlt.mp4
    08:10
  • 052. Chapter 8. Data transformation and modeling with dbt.mp4
    13:35
  • 053. Chapter 8. Orchestrating data pipelines with Dagster.mp4
    15:30
  • 054. Chapter 8. Summary.mp4
    00:54
  • 055. Chapter 9. Building and deploying data apps.mp4
    20:26
  • 056. Chapter 9. Building a BI dashboard with Apache Superset.mp4
    14:27
  • 057. Chapter 9. Summary.mp4
    01:03
  • 058. Chapter 10. Performance considerations for large datasets.mp4
    28:49
  • 059. Chapter 10. Query planning and execution.mp4
    05:57
  • 060. Chapter 10. Exporting the Stack Overflow data to Parquet.mp4
    05:00
  • 061. Chapter 10. Exploring the New York Taxi dataset from Parquet files.mp4
    13:35
  • 062. Chapter 10. Summary.mp4
    01:16
  • 063. Chapter 11. Conclusion.mp4
    01:53
  • 064. Chapter 11. Upcoming stable versions of DuckDB.mp4
    00:37
  • 065. Chapter 11. Aspects we did not cover.mp4
    02:28
  • 066. Chapter 11. Where can you learn more.mp4
    00:45
  • 067. Chapter 11. What is the future of data engineering with DuckDB.mp4
    01:53
  • 068. appendix A. Client APIs for DuckDB.mp4
    05:14
  • 069. appendix A. A word on concurrency.mp4
    02:00
  • 070. appendix A. Use cases.mp4
    02:28
  • 071. appendix A. Importing large amounts of data.mp4
    01:12
  • 072. appendix A. Using DuckDB from Java via the JDBC Driver.mp4
    14:26
  • 073. appendix A. Additional connection options.mp4
    01:42
  • 074. appendix A. Summary.mp4
    00:54
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    O'Reilly Media is an American learning company established by Tim O'Reilly that publishes books, produces tech conferences, and provides an online learning platform. Its distinctive brand features a woodcut of an animal on many of its book covers.
    • language english
    • Training sessions 74
    • duration 7:39:53
    • Release Date 2025/01/15

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