#05 | Query Complex & Dynamic JSON Data In Snowflake
Learn how to effectively query complex and dynamic JSON data in Snowflake in this informative & hands-on tutorial. Whether you're dealing with complex deep nested structures or dynamic data structure or varying data types, this video will show you the best practices and techniques for extracting the information you need from your JSON data. Don't miss out on this valuable insight!
This "Query Complex & Dynamic JSON Data In Snowflake" tutorial Chapter-05 dives deeper into the intricacies of working with JSON data. You will learn about the different types of JSON files and the best approach to design your queries to extract the data you need. The tutorial covers the use of colon, dot, and bracket notation, as well as the powerful built-in SQL functions such as check_json(), parse_json() and json_extract_path_text() to simplify the process. This chapter is essential for anyone who needs to work with complex and dynamic JSON data in Snowflake.
Once you finish this chapter-05, you will be able to answer the following questions:
1. How to use colon, dot & bracket notation/operators to query json?
2. How to combine colon, dot & bracket notation together?
3. Different type of JSON data files and complexity level?
4. How to query JSON and design processing approach based on JSON data file complexity?
5. What is the use of check_json() sql function?
6. What is the difference between check_json() and parse_json() and when to use them?
7. What is the role of json_extract_path_text() SQL function?
8. How to use json_extract_path_text() & case-statement to query dynamic & complex json.
9. How to use json_extract_path_text() & case-statement to query dynamic & complex json.
10. Limitation of check_json(), parse_json() and json_extract_path_text() SQL functions.
🚀🚀 Chapter-05 Sections 🚀🚀
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➥ 00:00 Introduction
➥ 00:23 Chapter-05 Objective
➥ 01:59 Welcome To Data Engineering Simplified
➥ 02:36 json data structure classification
➥ 07:17 query json vs process json
➥ 07:17 query simple & nested json
➥ 12:43 query json using bracket notation
➥ 16:50 json sql query profile
➥ 19:14 query complex & nested json
➥ 25:13 use of check_json()
➥ 27:11 check_json() vs parse_json()
➥ 27:56 use of json_extract_path_text sql function
➥ 32:28 query dynamic json data
➥ 37:25 ch-05 summary
➥ 37:42 limitation of json sql function
➥ 39:11 Whats Next & thank you note
🚀 🚀 Important Resources 🚀 🚀
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➥ TopperTips Website 🌐 https://toppertips.com
➥ SQL Scripts & JSON Files - 🌐 / 5ec567ca5c0c
🚀 🚀 Other Playlist By Data Engineering Simplified 🚀 🚀
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➥ Complete Snowflake Master Class 🌐 https://bit.ly/snowflake-tutorial
➥ Data Loading In Snoflake Master Class 🌐 https://bit.ly/load-data-into-snowflake
➥ SnowPro Certification Mock Test Papers 🌐 https://bit.ly/snowpro-mock-test
➥ SnowPro Certification Guide 🌐 https://bit.ly/snowpro-certification-v1
🚀 🚀 JSON Processing In Snowflake Tutorial https://bit.ly/snowflake-json-playlist 🚀 🚀
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➥ Ch-01: Querying & Processing JSON In Snowflake Tutorial 🌐 • Processing & Working With JSON Data I...
➥ Ch-02: Loading JSON Data From AWS S3 Tutorial 🌐 • #02 | How To Load JSON in Snowflake ...
➥ Ch-03: SnowSQL Cli, Internal Stage & JSON Data Loading 🌐 • #03 | Load JSON Using SnowSQL To Inte...
➥ Ch-04: How To Create Snowflake External Table With JSON Data 🌐 • How To Create Snowflake External Tabl...
➥ Ch-05: Query Complex & Dynamic JSON Data 🌐 • #05 | Query Complex & Dynamic JSON D...
➥ Ch-06: Flatten Function & Snowflake 🌐 • Flatten Function & JSON Data Processi...
➥ Ch-07: Faster Multiline JSON Processing In Snowflake 🌐 • Faster Multiline JSON Processing Usin...
➥ Ch-08: Duplicate Attributes & JSON data loading in snowflake 🌐 • Can A JSON File With Duplicate Attrib...
➥ Ch-09: Coming Soon (Release Happens Every Week)
#snowflakecomputing #json #snowflakes #json_processing
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