Snowflake – Build and Architect Data Pipelines Using AWS, 1st Edition eBook

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Snowflake is the next big thing, and it is becoming a full-blown data ecosystem. With the level of scalability and efficiency in handling massive volumes of data and also with several new concepts in it, this is the right time to wrap your head around Snowflake and have it in your toolkit. This course not only covers the core features of Snowflake but also teaches you how to deploy Python/PySpark jobs in AWS Glue and Airflow that communicate with Snowflake, which is one of the most important aspects of building pipelines.

In this course, you will look at Snowflake, and then the most crucial aspects of Snowflake in an efficient manner. You will be writing Python/Spark Jobs in AWS Glue Jobs for data transformation and seeing real-time streaming using Kafka and Snowflake. You will be interacting with external functions and use cases, and finally, see the security features in Snowflake.

By the end of this course, you will have learned about Snowflake and learned how to build and architect data pipelines using AWS.

You need to have an active AWS account in order to perform the sections related to Python and PySpark. For the rest of the course, a free trial Snowflake account should suffice.

All the resource files are added to the GitHub repository at: https://github.com/PacktPublishing/Snowflake—Build-and-Architect-Data-Pipelines-using-AWS

This is a digital product.

Snowflake – Build and Architect Data Pipelines Using AWS 1st Edition is written by Siddharth Raghunath and published by Packt Publishing. The Digital and eTextbook ISBNs for Snowflake – Build and Architect Data Pipelines Using AWS are 9781804615676, 9781804616574, 1804616575 and the print ISBNs are 9781804615676, 1804615676.