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Querying JSON, XML, and Temporal Data with T-SQL

Xavier Morera

The most common scenario with SQL Server is querying structured data. But many do not know that it also allows storing and querying semi-structured data using XML and JSON; as well as obtaining values from any point in time with temporal tables.

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The most common scenario with SQL Server is querying structured data. But many do not know that it also allows storing and querying semi-structured data using XML and JSON; as well as obtaining values from any point in time with temporal tables.

Querying structured data is the most common scenario with SQL Server. However, there are cases where the schema is not known up front or more flexibility is needed. Additionally, sometimes it is required to know the value of a particular field at a specific point in time. In this course, Querying JSON, XML, and Temporal Data with T-SQL, you’ll gain the ability to use JSON and XML to store, modify, and query semi-structured data. First, you’ll learn how to work with JSON in SQL Server. Next, you’ll discover how to work with XML. Finally, you’ll explore how to retrieve values at any point in time with temporal tables. When you’re finished with this course, you’ll have the skills and knowledge of JSON, XML, and temporal tables needed to work with semi-structured data and historic data in SQL Server. Software required: Microsoft SQL Server.

This course is no longer available. Find something similar by browsing:
JSON XML Temporal Tables SQL Server

What's inside

Syllabus

Course Overview
Querying JSON with T-SQL
Querying XML Data with T-SQL
Utilizing Temporal Tables
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Demonstrates how to use JSON and XML to store, modify, and retrieve semi-structured data, which is useful in many industries
Provides guidance on utilizing Temporal Tables to obtain historic data, enhancing understanding of data patterns and changes over time
Taught by experienced instructors, ensuring industry knowledge and up-to-date best practices
Requires foundational knowledge in SQL Server, which may not be suitable for complete beginners
Focuses on querying semi-structured data, which may not align with the needs of all learners seeking a comprehensive SQL Server course

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Reviews summary

Advanced t-sql for modern data needs

According to learners, this course is a highly practical deep dive into advanced T-SQL functionalities, making it essential for SQL Server professionals. It provides a clear and structured approach to working with semi-structured data using JSON and XML, alongside mastering temporal tables for historical data analysis. While the course offers comprehensive coverage with helpful demonstrations, some students note a potential prerequisite of foundational T-SQL knowledge to fully grasp the complex topics presented. Overall, it's considered an effective resource for specialized skill development.
The lectures include helpful, actionable demonstrations of concepts.
"The code demos were easy to follow and illustrate complex concepts effectively."
"I appreciated the step-by-step walkthroughs for each new T-SQL function."
"The hands-on activities really solidified my understanding of the topics."
Delves deeply into specific T-SQL functionalities often overlooked.
"This course covers a unique blend of T-SQL features not often found together."
"It's great to have a dedicated resource for querying both JSON and XML within SQL Server."
"The in-depth look at temporal tables alone was worth the time invested."
Equips learners with essential T-SQL skills for modern data challenges.
"I now feel confident working with JSON data in SQL Server; this course provided practical methods."
"The hands-on examples for XML data were incredibly helpful for my daily tasks."
"Understanding temporal tables finally clicked for me after taking this course."
Assumes a foundational understanding of SQL Server and T-SQL.
"Learners should have a solid grasp of basic T-SQL before diving into this material."
"Some sections moved quickly, requiring prior familiarity with database concepts."
"While comprehensive, it can be challenging if you're new to SQL Server development."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Querying JSON, XML, and Temporal Data with T-SQL with these activities:
Understand SQL and relational databases
Refresh your understanding of SQL and relational databases before taking the course to ensure a solid foundation.
Show steps
  • Review SQL basics (data types, operators, queries)
  • Practice writing basic SQL queries
Review SQL Basics
Ensure a strong foundation by refreshing your understanding of fundamental SQL concepts.
Browse courses on SQL
Show steps
  • Go through your notes or textbooks to cover essential SQL topics.
  • Complete a few practice problems to test your understanding.
Gather related research papers and articles
Prepare for the course by collecting existing research works and articles relevant to the topics covered in the course.
Browse courses on NoSQL
Show steps
  • Search for research papers and articles using keywords related to the topic
  • Review the abstracts and introductions to identify relevant materials
  • Download and organize the selected materials
11 other activities
Expand to see all activities and additional details
Show all 14 activities
Join a T-SQL Study Group
Enhance your understanding through collaborative learning and peer support.
Browse courses on Querying Data
Show steps
  • Connect with your classmates or find a T-SQL study group online.
  • Schedule regular meetings to discuss course concepts and practice queries.
  • Share knowledge, ask questions, and provide feedback.
  • Work together on practice exercises or projects to reinforce your learning.
Follow T-SQL Basics Tutorial
Reinforce the concepts of querying structured data with SQL Server by following an in-depth tutorial.
Browse courses on SQL Server
Show steps
  • Locate a comprehensive T-SQL basics tutorial online.
  • Set aside a dedicated time to work through the tutorial.
  • Follow the instructions and complete the exercises to practice querying.
  • Take notes or mark important concepts for future reference.
JSON Query Practice
Reinforce your understanding of JSON querying by completing practice drills.
Browse courses on JSON
Show steps
  • Find specific values within JSON documents
  • Filter JSON documents based on criteria
Create custom SQL queries using JSON and XML
Reinforce your understanding of the syntax and functionality of SQL queries by practicing writing your own queries.
Browse courses on SQL
Show steps
  • Choose a dataset containing JSON or XML data
  • Write SQL queries to extract and manipulate data from the chosen dataset
  • Test your queries and refine them as needed
JSON Querying Practice Problems
Test your understanding of JSON querying by attempting practice problems.
Browse courses on JSON
Show steps
  • Find a set of JSON querying practice problems online or in a textbook.
  • Allocate specific time for solving these problems.
  • Attempt to solve the problems on your own.
  • Check your answers against provided solutions.
  • Review incorrect answers to identify areas for improvement.
Explain XML Data Retrieval
Enhance your comprehension of XML data retrieval by creating a presentation or tutorial.
Browse courses on XML
Show steps
  • Explain the structure and syntax of XML
  • Demonstrate how to retrieve data from XML using SQL
Build a T-SQL Coding Sandbox
Solidify your understanding of T-SQL by creating a coding sandbox where you can experiment with queries.
Browse courses on Querying Data
Show steps
  • Choose a preferred coding environment.
  • Set up a database and connect it to your coding environment.
  • Write T-SQL queries to perform various operations on the data.
  • Test your queries and troubleshoot any errors.
  • Repeat with different datasets to cover a range of scenarios.
Explore Temporal Tables
Expand your knowledge of temporal tables by completing guided tutorials.
Browse courses on Temporal Tables
Show steps
  • Understand the concept of temporal tables
  • Practice creating and querying temporal tables
Explore advanced features of JSON and XML support in SQL Server
Expand your knowledge by delving into advanced features and techniques for working with JSON and XML in SQL Server.
Browse courses on JSON
Show steps
  • Identify the specific advanced features you want to explore
  • Search for tutorials or documentation on those features
  • Follow the tutorials and practice using the features
Create a Semi-Structured Data Querying Guide
Deepen your understanding by creating a comprehensive guide that consolidates your knowledge of querying semi-structured data.
Browse courses on JSON
Show steps
  • Organize your notes and research on JSON and XML querying.
  • Write a detailed guide that covers different techniques and use cases.
  • Include examples and code snippets for clarity.
  • Review and refine your guide to ensure accuracy and completeness.
Develop a Temporal Data Analysis Dashboard
Gain hands-on experience with temporal tables by building a dashboard to analyze historical data.
Show steps
  • Gather a dataset with temporal data.
  • Design a conceptual model for your dashboard.
  • Create temporal tables and populate them with the data.
  • Develop queries to extract insights from the temporal data.
  • Build interactive visualizations to display the insights on a dashboard.

Career center

Learners who complete Querying JSON, XML, and Temporal Data with T-SQL will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts collect, process, and analyze data to identify trends and patterns. They use their findings to make recommendations to businesses on how to improve their operations. This course may be useful for Data Analysts because it provides them with the skills and knowledge needed to work with semi-structured and historic data, which is often used in data analysis.
See salaries and explore the career path for Data Analyst
Data Engineer
Data Engineers design, build, and maintain data pipelines to ensure that data is available to businesses in a timely and accurate manner. This course may be useful for Data Engineers because it provides them with the skills and knowledge needed to work with semi-structured and historic data, which is often used in data engineering.
See salaries and explore the career path for Data Engineer
Data Scientist
Data Scientists use data to build predictive models and make recommendations to businesses. This course may be useful for Data Scientists because it provides them with the skills and knowledge needed to work with semi-structured and historic data, which is often used in data science.
See salaries and explore the career path for Data Scientist
Database Administrator
Database Administrators manage and maintain databases to ensure that they are available and performant. This course may be useful for Database Administrators because it provides them with the skills and knowledge needed to work with semi-structured and historic data, which is often stored in databases.
See salaries and explore the career path for Database Administrator
Enterprise Data Architect
Enterprise Data Architects design and implement data architectures for businesses. This course may be useful for Enterprise Data Architects because it provides them with the skills and knowledge needed to work with semi-structured and historic data, which is often used in data architecture.
See salaries and explore the career path for Enterprise Data Architect
Information Architect
Information Architects design and implement information systems for businesses. This course may be useful for Information Architects because it provides them with the skills and knowledge needed to work with semi-structured and historic data, which is often used in information architecture.
See salaries and explore the career path for Information Architect
Software Engineer
Software Engineers design, develop, and maintain software applications. This course may be useful for Software Engineers because it provides them with the skills and knowledge needed to work with semi-structured and historic data, which is often used in software development.
See salaries and explore the career path for Software Engineer
Data Warehouse Architect
Data Warehouse Architects design and implement data warehouses for businesses. This course may be useful for Data Warehouse Architects because it provides them with the skills and knowledge needed to work with semi-structured and historic data, which is often stored in data warehouses.
See salaries and explore the career path for Data Warehouse Architect
Database Developer
Database Developers design and develop databases for businesses. This course may be useful for Database Developers because it provides them with the skills and knowledge needed to work with semi-structured and historic data, which is often stored in databases.
See salaries and explore the career path for Database Developer
Data Modeler
Data Modelers design and implement data models for businesses. This course may be useful for Data Modelers because it provides them with the skills and knowledge needed to work with semi-structured and historic data, which is often used in data modeling.
See salaries and explore the career path for Data Modeler
Business Analyst
Business Analysts analyze business processes and make recommendations to businesses on how to improve their operations. This course may be useful for Business Analysts because it provides them with the skills and knowledge needed to work with semi-structured and historic data, which is often used in business analysis.
See salaries and explore the career path for Business Analyst
Project Manager
Project Managers plan, execute, and close projects for businesses. This course may be useful for Project Managers because it provides them with the skills and knowledge needed to work with semi-structured and historic data, which is often used in project management.
See salaries and explore the career path for Project Manager
Data Governance Specialist
Data Governance Specialists develop and implement data governance policies and procedures for businesses. This course may be useful for Data Governance Specialists because it provides them with the skills and knowledge needed to work with semi-structured and historic data, which is often subject to data governance policies and procedures.
See salaries and explore the career path for Data Governance Specialist
Business Intelligence Analyst
Business Intelligence Analysts use data to identify trends and patterns and make recommendations to businesses on how to improve their operations. This course may be useful for Business Intelligence Analysts because it provides them with the skills and knowledge needed to work with semi-structured and historic data, which is often used in business intelligence.
See salaries and explore the career path for Business Intelligence Analyst
Data Integration Specialist
Data Integration Specialists design and implement data integration solutions for businesses. This course may be useful for Data Integration Specialists because it provides them with the skills and knowledge needed to work with semi-structured and historic data, which is often involved in data integration.
See salaries and explore the career path for Data Integration Specialist

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Querying JSON, XML, and Temporal Data with T-SQL.
Cover image
Exam Ref 70-761 Querying Data with Transact-SQL
Save
Provides a comprehensive overview of temporal tables in SQL Server 2016, covering topics such as creating and managing temporal tables, as well as querying and modifying data in these tables.
Exam Ref 70-761 Querying Data with Transact-SQL
Paperback
$$
Exam Ref 70-761 Querying Data with Transact-SQL
Kindle Edition
$$
Cover image
T-SQL Fundamentals
Save
Provides a practical guide to working with temporal tables in SQL Server. It covers the concepts and techniques involved in implementing and querying temporal data, making it a valuable resource for anyone working with historical data.
T-SQL Fundamentals (Developer Reference)
Paperback
$$
T-SQL Fundamentals (Developer Reference)
Paperback
$$
Microsoft SQL Server 2012 T-SQL Fundamentals
Paperback
$$
Microsoft SQL Server 2012 T-SQL Fundamentals...
Kindle Edition
$$
Microsoft SQL Server 2012 T-SQL Fundamentals by...
Unknown Binding
$$$
Cover image
Mining of Massive Data Sets
Save
Provides a comprehensive overview of JSON for data science, covering topics such as the syntax and structure of JSON data, as well as how to use JSON to store and analyze data.
Mining of Massive Datasets
Hardcover
$$$
Cover image
XML
Save
Provides a comprehensive overview of XML, covering topics such as the syntax and structure of XML data, as well as how to work with XML data in various programming languages and applications.
XML
Paperback
Check
XML
Kindle Edition
Check
Cover image
Sustainable Stormwater Management
Save
Provides a comprehensive overview of temporal data management, covering topics such as the concepts of time and temporal data, as well as how to model and manage temporal data in various database systems.
Sustainable Stormwater Management: A Landscape...
Hardcover
$$$
Cover image
Temporal Information Systems in Medicine
Save
Provides a comprehensive overview of temporal database management, covering topics such as the concepts of time and temporal data, as well as how to model and manage temporal data in various database systems.
Temporal Information Systems in Medicine
Paperback
$$$
Cover image
Windows Server 2003 For Dummies
Save
Beginner's guide to XML, covering its basic concepts and applications. It is suitable for those with no prior knowledge of XML and provides a gentle introduction to this data format.
Windows Server 2003 For Dummies
Paperback
Check
Windows Server 2003 For Dummies
Kindle Edition
Check

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Course image
Time
110 hours
Level
Advanced
Via
Pluralsight
Instructor
Xavier Morera
Language
English
This course belongs to a collection called Querying Data with T-SQL from SQL Server. It's comprised of seven courses:
  1. Querying Data Using T-SQL
  2. Combining and Filtering Data with T-SQL 2019
  3. T-SQL Data Manipulation Playbook
  4. Capturing Logic with Stored Procedures in T-SQL
  5. Querying JSON, XML, and Temporal Data with T-SQL (viewing)
  6. Handling Errors in T-SQL
  7. T-SQL Functions Playbook
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Demonstrates how to use JSON and XML to store, modify, and retrieve semi-structured data, which is useful in many industries
Provides guidance on utilizing Temporal Tables to obtain historic data, enhancing understanding of data patterns and changes over time
Taught by experienced instructors, ensuring industry knowledge and up-to-date best practices
Requires foundational knowledge in SQL Server, which may not be suitable for complete beginners
Focuses on querying semi-structured data, which may not align with the needs of all learners seeking a comprehensive SQL Server course
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