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  1. Урок 1. 00:02:19
    Welcome!
  2. Урок 2. 00:02:40
    What will You Learn in this Course?
  3. Урок 3. 00:02:40
    What is DuckDB & Why is it SO COOL?
  4. Урок 4. 00:06:13
    What is DuckDB? (detailed)
  5. Урок 5. 00:06:08
    Why use DuckBD?
  6. Урок 6. 00:04:16
    What role does DuckDB play in modern Analytics World?
  7. Урок 7. 00:06:58
    DuckDB's competition & market niche
  8. Урок 8. 00:06:27
    When should you use DuckDB? (typical use cases)
  9. Урок 9. 00:02:42
    Who Should Use DuckDB?
  10. Урок 10. 00:07:20
    DuckDB Installation
  11. Урок 11. 00:07:57
    Environment configuration
  12. Урок 12. 00:05:49
    Getting started with DuckDB's SQL
  13. Урок 13. 00:08:34
    Outputting SQL's results into files
  14. Урок 14. 00:03:03
    Practice Case Description
  15. Урок 15. 00:03:16
    Importing Data
  16. Урок 16. 00:05:11
    DuckDB SQL Innovations: SUMMARIZE & REPLACE
  17. Урок 17. 00:05:27
    DuckDB SQL Innovations: EXCLUDE & COLUMNS & GROUP BY ALL
  18. Урок 18. 00:04:08
    Window Functions: the DuckDB way
  19. Урок 19. 00:03:14
    PIVOTing in DuckDB
  20. Урок 20. 00:01:55
    TABLE Functions in DuckDB
  21. Урок 21. 00:01:10
    Practice Case Description
  22. Урок 22. 00:03:33
    Downloading Data
  23. Урок 23. 00:06:35
    Duckdb and Python: Analytics workflow - part1
  24. Урок 24. 00:05:02
    Duckdb and Python: Analytics workflow - part2
  25. Урок 25. 00:04:22
    Duckdb and Python: Analytics workflow - part3
  26. Урок 26. 00:01:29
    Streamlit Introduction
  27. Урок 27. 00:04:41
    Practice Case Description
  28. Урок 28. 00:02:33
    Fetching Data - part1
  29. Урок 29. 00:05:00
    Fetching Data - part2
  30. Урок 30. 00:05:39
    Launching the App
  31. Урок 31. 00:01:45
    Data Build Tool (dbt) Introduction
  32. Урок 32. 00:02:47
    Practice Case Description
  33. Урок 33. 00:03:27
    Data Walkthrough
  34. Урок 34. 00:07:23
    Fetching Data - part1
  35. Урок 35. 00:02:33
    Fetching Data - part2
  36. Урок 36. 00:07:18
    Running dbt Pipeline
  37. Урок 37. 00:02:47
    DBeaver: Amazing Database Management Tool
  38. Урок 38. 00:06:53
    DuckDB Backward Compatibility Issue: SOLVED
  39. Урок 39. 00:03:00
    Exploring End Result: duckdb DataWarehouse
  40. Урок 40. 00:00:57
    What is MotherDuck?
  41. Урок 41. 00:07:44
    MotherDuck's Features
  42. Урок 42. 00:05:55
    Attaching a Remote Database
  43. Урок 43. 00:01:54
    Detaching a Remote Database
  44. Урок 44. 00:03:48
    Automating Authentication to MotherDuck Platform
  45. Урок 45. 00:01:06
    Mother Duck Updates: Summer 2024
  46. Урок 46. 00:06:41
    Sharing Databases
  47. Урок 47. 00:04:40
    AI in MotherDuck: Intro
  48. Урок 48. 00:04:09
    Querying Data with Natural Language feature
  49. Урок 49. 00:03:38
    A More Challenging Query for AI
  50. Урок 50. 00:01:02
    Rill Intro
  51. Урок 51. 00:03:04
    Case End Product DEMO
  52. Урок 52. 00:03:55
    What is Rill?
  53. Урок 53. 00:04:37
    Case Data
  54. Урок 54. 00:05:07
    Data Sources
  55. Урок 55. 00:03:44
    Data Models
  56. Урок 56. 00:02:42
    Dashboard Outlining
  57. Урок 57. 00:05:02
    UI: Part 1
  58. Урок 58. 00:04:34
    UI: Part 2
  59. Урок 59. 00:05:06
    Setting up a Github repo
  60. Урок 60. 00:02:37
    Connecting Rill Cloud to Github
  61. Урок 61. 00:04:03
    Sharing access to Dashboard
  62. Урок 62. 00:05:19
    Scheduling Data Refresh
  63. Урок 63. 00:01:32
    Deleting Rill Project
  64. Урок 64. 00:04:49
    DuckDB in Data Pipelines
  65. Урок 65. 00:02:48
    End Result: What We'll be Working Towards
  66. Урок 66. 00:02:51
    Dagster: Intro
  67. Урок 67. 00:04:17
    Setting up Environment
  68. Урок 68. 00:06:59
    Data Pipeline Walkthrough: part 1
  69. Урок 69. 00:03:59
    Data Pipeline Walkthrough: part 2
  70. Урок 70. 00:05:49
    Launching Pipeline & Case wrapping up
  71. Урок 71. 00:01:29
    Case Intro
  72. Урок 72. 00:06:02
    Business Case Architecture
  73. Урок 73. 00:01:10
    Disclaimer: Fast Forward if needed
  74. Урок 74. 00:04:25
    Movies Data base API
  75. Урок 75. 00:03:47
    Dockerfile: Packaging the Project
  76. Урок 76. 00:03:42
    Managing Python Dependencies with Poetry
  77. Урок 77. 00:05:55
    Fetching Data from API
  78. Урок 78. 00:03:51
    Understanding Data
  79. Урок 79. 00:06:00
    Recommender System Codebase
  80. Урок 80. 00:02:16
    FastAPI Microservice
  81. Урок 81. 00:05:55
    Building Docker Image
  82. Урок 82. 00:06:25
    Exploring Data inside DuckDB
  83. Урок 83. 00:05:22
    Getting Recommendations
  84. Урок 84. 00:01:12
    Wrapping Up the Case