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LinkedIn - Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics - Printable Version

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LinkedIn - Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics - AD-TEAM - 11-28-2024

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9.25 GB | 00:03:22 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
01 - Advanced Snowflake (5.27 MB)
02 - Snowflake architecture (7.23 MB)
03 - Getting set up with Snowflake (3.39 MB)
01 - Micropartitioning and clustering (6.83 MB)
02 - Types of tables in Snowflake (6.47 MB)
03 - Creating permanent tables (6.74 MB)
04 - Creating temporary tables (8.69 MB)
05 - Creating transient tables (11.35 MB)
06 - Configuring data retention time (5.27 MB)
07 - Querying historical data (8.06 MB)
08 - Dropping and restoring tables (4.47 MB)
01 - Non-materialized, materialized, and secure views (5.26 MB)
02 - Creating and populating tables (5.02 MB)
03 - Creating and querying views (5.15 MB)
04 - Recreating views (2.83 MB)
05 - Querying regular views and secure views (9.39 MB)
06 - Creating and querying materialized views (9.36 MB)
01 - Caching, clustering, and search optimization (7.21 MB)
02 - Loading data using COPY INTO (6.7 MB)
03 - Retrieval optimization using cached results (6.72 MB)
04 - Enabling clustering on tables (7.21 MB)
05 - Querying clustered tables (8.63 MB)
06 - Querying clustering information (5.53 MB)
07 - Running point lookup queries on search-optimized tables (11.21 MB)
08 - Clustering vs search optimization (12.61 MB)
01 - Loading and querying parquet data (8.92 MB)
02 - Loading JSON data (13.15 MB)
03 - Querying JSON data (7.61 MB)
01 - Access control (5.82 MB)
02 - Creating users and viewing grants (7.53 MB)
03 - Granting privileges to roles (7.53 MB)
01 - Summary and next steps (2.7 MB)]
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