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Query object in Business Central | Technical Consultant | Query in bc | complete tutorial for bc

goms tech talks2022-09-17
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💫 Short Summary

The video provides a comprehensive guide on creating and executing queries in Microsoft Dynamics 365 Business Central, covering topics like query planning, properties, joins, and aggregate functions. It emphasizes the importance of properly naming queries, defining elements and columns, and utilizing SQL for efficient data analysis. The process of connecting products with sales data, filtering fields, and creating query objects is explained in detail. The video also discusses optimizing performance and efficiency by querying specific data, analyzing customer purchases, and utilizing query properties like order by and filter. Overall, the goal is to gradually introduce viewers to advanced query concepts step by step.

✨ Highlights
📊 Transcript
Overview of queries in Microsoft Dynamics 365 Business Central for technical consultants.
Creating and executing queries, including planning and properties to consider.
Future topics to be covered include joins and aggregate functions.
Basic knowledge of objects like pages, tables, and queries is provided, followed by advanced topics like triggers.
Importance of queries in fetching specific records is explained using a table example with fields and records.
Importance of querying specific data from tables for performance and efficiency.
Creating separate queries with necessary columns, like selecting top five customers based on criteria, optimizes processing time and resources.
Utilizing queries allows for joining multiple tables and fetching relevant records efficiently.
Highlight on using structured query language (SQL) to create and execute queries effectively, even for those unfamiliar with SQL.
Queries help in analyzing data from various tables (customer, salesperson, products, manufacturers) to make informed decisions based on specific conditions.
Connecting products with sales data through queries in an Explorer.
The segment explains the process of creating queries, selecting query snippets, assigning IDs and names, and exploring query properties like access API and group API publisher.
Properly naming queries is emphasized for easy retrieval of information.
Different icons and properties are showcased for query customization and analysis.
Importance of Naming Conventions in Data Management
Clear and specific names for data items, tables, and columns are crucial for better understanding and retrieval.
Matching source file names to original column names is essential for accurate data integration.
Filtering fields is key to refining data queries and improving data analysis.
Creating Queries in a Database.
Importance of defining fields in tables, filtering data items, writing procedures and triggers, and creating global variables.
Proper planning is essential before writing queries, including identifying objectives such as finding top customers and determining data relationships.
Option to join multiple queries or work with a single query.
Planning is crucial to ensure the efficiency and effectiveness of the queries created in the database.
Creating a query object using AZ wizard extension.
Define object ID and name, select table type, and specify query type as normal or API.
Emphasize precise source table and field names, and understanding query properties.
Write a query with ID and name, select the source table, and specify query type.
Failure to mention query type defaults to normal query.
Demonstration of fetching specific columns in a query.
The speaker shows how to select columns like address, amount, city, contact, country, email, name, partner type, and balance.
The query is executed to display the fetched data.
An issue arises with the customer list not displaying correctly on the page.
The speaker troubleshoots and navigates through queries to find the customer list.
Adding a query category to display a list of customers on a page.
Naming the list and specifying where it should be displayed is part of the process.
Updating queries by adding them to different list pages with specific names is discussed.
Other query properties like order by, which sorts query data based on conditions, and filter, which excludes certain data from the query dataset, are mentioned.
Methods for implementing and utilizing these query features are highlighted in the conclusion.
Overview of Data Analysis Methods in the Video Segment.
The segment covers column properties, filters, and API usage for data analysis.
Different properties like language settings and caption filters are highlighted for analysis.
Next video will focus on query creation, stressing the importance of understanding query logic.
Viewers are encouraged to ask questions and seek clarification on advanced topics, with the speaker committed to providing comprehensive learning experience.