Course: Continuous Data in Snowflake
duration: 4 hours |
Language: English (US) |
access duration: 90 days |
Details
Data is generally processed using a batch or stream methodology depending on how much time between data generation and processing is acceptable. The Snowflake feature Snowpipes processes data in micro-batches which falls in between these two scenarios. In this course, you will cover the implementation of Snowpipes when data is sourced from an internal Snowflake stage. You will kick things off by looking at data ingestion options in Snowflake from a theoretical standpoint, including the differences between bulk data loading and Snowpipes. Then, you get hands-on to set up the infrastructure for data ingestion: an internal stage for CSV data, a destination table for a data load, and a pipe to carry out the load in micro-batches. Next, you will implement the auto-ingestion of CSV files from external Snowflake stages located on the AWS and Azure cloud platforms to set up a continuous data ingestion pipeline. This pipeline will include several components, such as queues, enterprise applications, and storage integrations as well as the permissions required to get these pieces to talk to one another.
Result
After completing this course, you’ll be able to set up a continuous data ingestion pipeline to input micro-batches of data when it becomes available.
Prerequisites
Some prior knowledge of the topic is recommended.
Target audience
System Administrator, Database Administrators, Data analist
Content
Continuous Data in Snowflake
Continuous Data: Ingesting Continuous Data in Snowflake
Data is generally processed using a batch or stream methodology
- depending on how much time between data generation and processing
- is acceptable. The Snowflake feature Snowpipes processes data in
- micro-batches which fall in between these two scenarios. In this
- course, you will cover the implementation of Snowpipes when data is
- sourced from an internal Snowflake stage. You will kick things off
- by looking at data ingestion options in Snowflake from a
- theoretical standpoint, including the differences between bulk data
- loading and Snowpipes. Then, you get hands-on to set up the
- infrastructure for data ingestion: an internal stage for CSV data,
- a destination table for a data load, and a pipe to carry out the
- load in micro-batches. Next, you will ingest the data into the
- destination table and explore how this process can be monitored by
- tracking the pipe status. Finally, you will implement a Snowflake
- task to trigger a Snowpipe at regular time intervals.
Continuous Data: Automating Data Ingestion from Cloud Storage into Snowflake
The Snowpipe feature allows Snowflake to input micro-batches of
- data as it becomes available, generally within minutes of the data
- being added to a stage and submitted for ingestion. In this course,
- you will implement the auto-ingestion of CSV files from external
- Snowflake stages located on the AWS and Azure cloud platforms. You
- will begin by setting up a continuous data ingestion pipeline where
- the data source is located in an Azure Storage Container. This
- pipeline will include several components, such as queues,
- enterprise applications, and storage integrations as well as the
- permissions required to get these pieces to talk to one another.
- You will then implement something similar with an Amazon S3 bucket
- as the source of data. This set-up will involve AWS services such
- as IAM roles, SNS topics, as well as Snowflake objects such as
- notification integrations and pipes.
Course options
We offer several optional training products to enhance your learning experience. If you are planning to use our training course in preperation for an official exam then whe highly recommend using these optional training products to ensure an optimal learning experience. Sometimes there is only a practice exam or/and practice lab available.
Optional practice exam (trial exam)
To supplement this training course you may add a special practice exam. This practice exam comprises a number of trial exams which are very similar to the real exam, both in terms of form and content. This is the ultimate way to test whether you are ready for the exam.
Optional practice lab
To supplement this training course you may add a special practice lab. You perform the tasks on real hardware and/or software applicable to your Lab. The labs are fully hosted in our cloud. The only thing you need to use our practice labs is a web browser. In the LiveLab environment you will find exercises which you can start immediately. The lab enviromentconsist of complete networks containing for example, clients, servers,etc. This is the ultimate way to gain extensive hands-on experience.
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