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Apply Advanced SQL Server Analytics and Programming

本课程是 Apply SQL Server Database Management & Analytics 专项课程的一部分

位教师：EDUCBA

包含在中

了解更多

4个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

1 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

4个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

1 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

Store, query, and modify JSON and semi-structured data within SQL Server.
Design and query graph databases to model and analyze complex relationships.
Integrate R and Python in SQL Server for advanced analytics and data processing.

您将获得的技能

要了解的详细信息

可分享的证书

添加到您的领英档案

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累特定领域的专业知识

本课程是 Apply SQL Server Database Management & Analytics 专项课程专项课程的一部分

在注册此课程时，您还会同时注册此专项课程。

向行业专家学习新概念
获得对主题或工具的基础理解
通过实践项目培养工作相关技能
获得可共享的职业证书

该课程共有4个模块

By the end of this course, learners will be able to manage semi-structured data using JSON, model complex relationships with graph databases, and apply advanced analytics by integrating R and Python within SQL Server. Learners will gain the ability to query, modify, and analyze diverse data formats directly inside the database environment.

This course is designed for database professionals and data practitioners who want to move beyond traditional relational querying and leverage advanced SQL Server capabilities. Through hands-on concepts, learners will understand how to store and manipulate JSON data, build and query graph databases for relationship-driven use cases, and execute R and Python scripts for analytics, data ingestion, and transformation. The course emphasizes practical application, enabling learners to process structured and unstructured data efficiently without moving data outside SQL Server. What makes this course unique is its unified approach to modern data handling within SQL Server—combining JSON, graph databases, R, and Python in a single advanced curriculum. By completing this course, learners will enhance their analytical skill set, improve data-driven decision-making, and be better prepared to handle real-world enterprise data challenges using SQL Server’s advanced features.

单元详情

This module focuses on managing and querying JSON data within SQL Server. Learners explore how JSON supports semi-structured data storage, how to insert and query JSON using built-in SQL Server functions, and how to modify JSON content efficiently. The module emphasizes practical techniques for working with hierarchical data while maintaining data integrity and flexibility in enterprise database environments.

涵盖的内容

8个视频4个作业

8个视频总计83分钟

Introduction to JSON12分钟
Inserting Data in JSON table11分钟
JSON Using Variables6分钟
Select Queries in JSON11分钟
Working on JSON Type10分钟
Inserting Data of Type JSON13分钟
More on Select Queries on JSON10分钟
Altering JSON Data10分钟

4个作业总计60分钟

JSON Data Management in SQL Server30分钟
JSON Data Management in SQL Server10分钟
Querying JSON Data10分钟
Advanced JSON Queries and Updates10分钟

This module introduces graph database concepts and their implementation in SQL Server. Learners examine how nodes and edges represent entities and relationships, how graph tables are created and modified, and how real-world relationship models are implemented using SQL Server graph features. The module highlights relationship-centric querying for complex data scenarios.

涵盖的内容

8个视频4个作业

8个视频总计80分钟

Introduction to Graph Databases10分钟
Creating Node Table11分钟
Creating Edge Table10分钟
Altering Edge Table10分钟
Example on Creating Graph Database Part 112分钟
Example on Creating Graph Database Part 213分钟
Example on Creating Graph Database Part 38分钟
Example on Creating Graph Database Part 48分钟

4个作业总计60分钟

Graph Databases with SQL Server30分钟
Graph Database Basics10分钟
Modifying Graph Structures10分钟
Graph Database End-to-End Examples10分钟

This module covers the integration of R with SQL Server to enable advanced analytics directly within the database environment. Learners explore executing R scripts, importing external data sources, processing non-tabular data, and performing analytical joins. The module emphasizes data preprocessing, analysis, and result integration using R.

涵盖的内容

8个视频4个作业

8个视频总计73分钟

Introduction to R Using SQL8分钟
Executing R Scripts in SQL Server10分钟
Executing R scripts for Importing CSV File9分钟
Working on R Command10分钟
Reading PDF File10分钟
Displaying Data in SQL Query8分钟
Writing Commands on R Command Prompt9分钟
Working on Joins using R Script9分钟

4个作业总计60分钟

R Integration and Advanced Analytics in SQL Server30分钟
Introduction to R with SQL Server10分钟
Working with R Commands and Data Sources10分钟
Advanced Data Processing Using R Scripts10分钟

This module introduces Python programming concepts as applied within SQL Server. Learners examine how Python scripts are executed, how control flow and operators function, and how core data structures support analytical scripting. The module focuses on foundational Python skills that enhance SQL Server-based analytics.