#16- Continuous Data loading using Snowpipe || Step by Step Demo with AWS S3 скачать в хорошем качестве

#16- Continuous Data loading using Snowpipe || Step by Step Demo with AWS S3

Snowflake Zero to Hero Series | Part 16 - Snowpipe Auto Ingestion | Continuous Batch Load in Snowflake 🌨️ Welcome back everyone to the Snowflake Zero to Hero series! In Part 16, we're diving deep into Snowpipe Auto Ingest for continuous batch loading in Snowflake. Snowpipe enables loading data from files as soon as they’re available in a stage, making it available to users within minutes, rather than manually executing COPY statements on a schedule to load larger batches. 🔹 What You’ll Learn: 1-What is Snowpipe & Usage 2-Step-by-step configuration of Snowpipe Auto Ingest 3- Understanding Pipes and how they automate data ingestion 4-How to check Pipe Usage using the PIPE_USAGE_HISTORY function 5-Analyzing Copy History for data loads with ease This video will give you the confidence to work with Snowpipe and efficiently handle continuous data loads. 📌 Key Concepts Covered: Snowpipe Auto Ingest Setup Monitoring Snowpipe Activities Tracking Ingestion History Advanced Snowflake Functions: PIPE_USAGE_HISTORY, COPY_HISTORY, and more! Scripts : CREATE PIPE AWSPIPE AUTO_INGEST=TRUE AS COPY INTO AWS_CUSTOMERLOAD FROM @S3_STAGE; SHOW PIPES; Select count(*) from AWS_CUSTOMERLOAD; Select SYSTEM$PIPE_STATUS('AWSPIPE'); select * from AWS_CUSTOMERLOAD; --How to check pipe history failed or success Select * from SNOWFLAKE.ACCOUNT_USAGE.COPY_HISTORY where PIPE_NAME='AWSPIPE'; --- How to check credits used for any Snowpipe select * from table(information_schema.pipe_usage_history( pass time & pipe_name));