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Microsoft Dynamics 365 Dataverse - Bulk Ingest from JSON file on SharePoint Folder Case Study 3C

Microsoft Dynamics 365 Dataverse - Bulk Ingest from JSON file on SharePoint Folder Case Study 3C
Microsoft Dynamics 365 Dataverse Multi-Environment Pro Manager - MDPM Tool
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https://erp.2h2.co.uk/services
Full Product Description:


Step 1: Environments
The Environments tab allows users to add and manage Dataverse environments. Simply click on “Add New Environment,” input the URL and name, and connect with device-code sign-in for seamless integration.

Step 2: Load Tables
Within the Environments section, click on “Load All Tables” to fetch tables from the selected environments. The Table Explorer will display all tables for easy access.

Step 3: Main Tabs Overview

🌐 Environments
Effortlessly manage all Dataverse environments. Add, connect, remove, and activate environments. Reload tables and monitor connection status with ease.

🔍 CRUD Operations
Perform CRUD operations on single records. Select the environment and table, then input a record ID, OData query, or JSON payload for create, read, update, or delete actions.

📦 Bulk Data
Utilize various tools for bulk data operations:

Manual/File Ingestion: Upload or paste JSON for bulk create operations.
AI Voice/Prompt Ingestion: Describe data needs in natural language for payload generation.
Multi-Target Ingestion: Simultaneously run multiple ingestion jobs across environments/tables.
Multi-Target Ingestion (Lookups Wizard): Map lookup fields for correct record linkage.
🗑️ Bulk Delete (NEW)
Efficiently delete records or entire tables across multiple environments and tables in a single operation. Create Delete Groups, specify Key Fields, upload data, and execute deletions securely.

📁 Staging Tables
Create and manage staging tables in Dataverse. Define new entities based on data structures, load data, and track statistics per upload.

📊 Reports & Comparison
Compare staging and production data or any table/environment combinations. Conduct standard or bulk group comparisons with detailed statistics for informed decisions.

🔄 Data Deduplication
Detect duplicates in uploaded data against Dataverse tables. Filtered deduplication provides insights into Duplicates and New data, facilitating cleanup.

📊 Data Analysis
Perform simple analysis and charting by selecting a table, environment, and field. Build OData queries and visualize data with charts based on value counts.

📋 FetchXML / Advanced Query
Execute raw FetchXML or OData queries by pasting queries directly for quick retrieval of specific data.

🧩 Multi-Table OData / FetchXML Query & Visualization
Craft advanced multi-table queries and visualize results effortlessly. The tool auto-detects involved entity sets, displaying tables and charts for enhanced understanding. + Add new category

🧠 Universal Query Studio
Effortlessly query multiple tables and joins with Web API paths or FetchXML. Query various tables without the need for individual table selection.

📈 Visual Query Studio
Utilize a drag-and-drop query builder to visually construct complex queries. Build queries by pointing at tables and fields, then execute them seamlessly.

🔧 SQL Query (Experimental)
Visually build or type SQL queries (SELECT/INSERT), letting the app convert and execute them as Dataverse operations for advanced data manipulations.

🤖 AI Support
Leverage AI models to generate queries, provide result explanations, and assist in complex Dataverse operations. Add context from sidebar tables for personalized AI assistance.

📚 Instructions
Access detailed instructions for complex ingestion scenarios, sample codes, and API reference notes to enhance user understanding.

📜 History
Track a full audit trail of API calls made through the app, including the option to mark favorites for quick access and reuse.

⚙️ Settings
Efficiently manage local storage and configure AI provider API keys within the Settings section to customize how the app interacts with external services.

This application provides a comprehensive suite of tools and features to empower users in managing Dataverse environments, data operations, and advanced functionalities with ease and efficiency.

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