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You're reading from  Snowflake Cookbook

Product typeBook
Published inFeb 2021
Reading LevelBeginner
PublisherPackt
ISBN-139781800560611
Edition1st Edition
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Authors (2):
Hamid Mahmood Qureshi
Hamid Mahmood Qureshi
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Hamid Mahmood Qureshi

Hamid Qureshi is a senior cloud and data warehouse professional with almost two decades of total experience, having architected, designed, and led the implementation of several data warehouse and business intelligence solutions. He has extensive experience and certifications across various data analytics platforms, ranging from Teradata, Oracle, and Hadoop to modern, cloud-based tools such as Snowflake. Having worked extensively with traditional technologies, combined with his knowledge of modern platforms, he has accumulated substantial practical expertise in data warehousing and analytics in Snowflake, which he has subsequently captured in his publications.
Read more about Hamid Mahmood Qureshi

Hammad Sharif
Hammad Sharif
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Hammad Sharif

Hammad Sharif is an experienced data architect with more than a decade of experience in the information domain, covering governance, warehousing, data lakes, streaming data, and machine learning. He has worked with a leading data warehouse vendor for a decade as part of a professional services organization, advising customers in telco, retail, life sciences, and financial industries located in Asia, Europe, and Australia during presales and post-sales implementation cycles. Hammad holds an MSc. in computer science and has published conference papers in the domains of machine learning, sensor networks, software engineering, and remote sensing.
Read more about Hammad Sharif

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Processing newline-delimited JSON (or NDJSON) into a Snowflake table

This recipe walks you through the process of loading NDJSON data and transforming it into a relational form to then be loaded into a table. NDJSON is a JSON format in which each row is valid JSON in itself and therefore can be processed independently of the complete document. For more details about NDJSON, please see http://ndjson.org/.

Getting ready

Since our objective is to demonstrate the processing of NDJSON, we will not describe the process of creating stages and external data from cloud storage as it has already been covered in other recipes. For simplicity, we have made available a sample NDJSON file in a public cloud bucket that we will read and process. The NDJSON sample file can be found at https://github.com/PacktPublishing/Snowflake-Cookbook/blob/master/Chapter03/r6/ndjson_sample.json if you would like to download it and use it in your own cloud storage buckets.

How to do it…

To demonstrate...

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Snowflake Cookbook
Published in: Feb 2021Publisher: PacktISBN-13: 9781800560611

Authors (2)

author image
Hamid Mahmood Qureshi

Hamid Qureshi is a senior cloud and data warehouse professional with almost two decades of total experience, having architected, designed, and led the implementation of several data warehouse and business intelligence solutions. He has extensive experience and certifications across various data analytics platforms, ranging from Teradata, Oracle, and Hadoop to modern, cloud-based tools such as Snowflake. Having worked extensively with traditional technologies, combined with his knowledge of modern platforms, he has accumulated substantial practical expertise in data warehousing and analytics in Snowflake, which he has subsequently captured in his publications.
Read more about Hamid Mahmood Qureshi

author image
Hammad Sharif

Hammad Sharif is an experienced data architect with more than a decade of experience in the information domain, covering governance, warehousing, data lakes, streaming data, and machine learning. He has worked with a leading data warehouse vendor for a decade as part of a professional services organization, advising customers in telco, retail, life sciences, and financial industries located in Asia, Europe, and Australia during presales and post-sales implementation cycles. Hammad holds an MSc. in computer science and has published conference papers in the domains of machine learning, sensor networks, software engineering, and remote sensing.
Read more about Hammad Sharif