Parameter Store in Microsoft Access Dataset (Publication Date: 2024/02)

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Discover Insights, Make Informed Decisions, and Stay Ahead of the Curve:



  • How do you pass parameter values from a combo box to the stored procedure?


  • Key Features:


    • Comprehensive set of 1527 prioritized Parameter Store requirements.
    • Extensive coverage of 90 Parameter Store topic scopes.
    • In-depth analysis of 90 Parameter Store step-by-step solutions, benefits, BHAGs.
    • Detailed examination of 90 Parameter Store case studies and use cases.

    • Digital download upon purchase.
    • Enjoy lifetime document updates included with your purchase.
    • Benefit from a fully editable and customizable Excel format.
    • Trusted and utilized by over 10,000 organizations.

    • Covering: Event Procedures, Text Boxes, Data Access Control, Primary Key, Layout View, Mail Merge, Form Design View, Combo Boxes, External Data Sources, Split Database, Code Set, Filtering Data, Advanced Queries, Programming Basics, Formatting Reports, Macro Conditions, Macro Actions, Event Driven Programming, Code Customization, Record Level Security, Database Performance Tuning, Client-Server, Design View, Option Buttons, Linked Tables, It Just, Sorting Data, Lookup Fields, Applying Filters, Mailing Labels, Data Types, Backup And Restore, Build Tools, Data Encryption, Object Oriented Programming, Null Values, Data Replication, List Boxes, Normalizing Data, Importing Data, Validation Rules, Data Backup Strategies, Parameter Queries, Optimization Solutions, Module Design, SQL Queries, App Server, Design Implementation, Microsoft To Do, Date Functions, Data Input Forms, Data Validation, Microsoft Access, Form Control Types, User Permissions, Printing Options, Data Entry, Password Protection, Database Server, Aggregate Functions, multivariate analysis, Macro Groups, Data Macro Design, Systems Review, Record Navigation, Microsoft Word, Grouping And Sorting, Lookup Table, Tab Order, Software Applications, Software Development, Database Migration, Exporting Data, Database Creation, Production Environment, Check Boxes, Direct Connect, Conditional Formatting, Cloud Based Access Options, Parameter Store, Web Integration, Storing Images, Error Handling, Root Access, Foreign Key, Calculated Fields, Access Security, Record Locking, Data Types Conversion, Field Properties




    Parameter Store Assessment Dataset - Utilization, Solutions, Advantages, BHAG (Big Hairy Audacious Goal):


    Parameter Store


    Parameter Store is a feature that allows you to store parameter values in a hidden location and retrieve them when needed. You can pass these values from a combo box to a stored procedure through the use of reference variables.


    1. Use a query to call the stored procedure and set the parameter using the combo box value. Benefit: Easy and efficient method.
    2. Create a global variable and set its value equal to the combo box value, then use the variable as a parameter in the stored procedure. Benefit: Flexibility for multiple parameters.
    3. Use VBA code to pass the combo box value directly to the stored procedure. Benefit: Complete control over how the value is passed.
    4. Use a temporary table to store the combo box value, then use this table as a parameter in the stored procedure. Benefit: Can handle multiple values from multiple combo boxes.
    5. Use the built-in Forms!

    FormName!

    ControlName syntax in the stored procedure. Benefit: Concise and simple method.

    CONTROL QUESTION: How do you pass parameter values from a combo box to the stored procedure?


    Big Hairy Audacious Goal (BHAG) for 10 years from now:

    In 10 years, we envision that Parameter Store will be the leading platform for seamlessly passing parameter values from a combo box to a stored procedure. Our goal is to revolutionize the process of parameter management and optimization for database operations.

    Our advanced technology and user-friendly interface will allow for easy customization and integration with various combo boxes and stored procedures. With our innovative solutions, users will no longer have to manually enter parameter values into stored procedures, saving them time and reducing the risk of errors.

    Furthermore, we will constantly invest in research and development to continuously improve our platform and offer cutting-edge features such as automatic detection of frequently used parameter values and predictive suggestions for optimal parameters.

    Through collaborations and partnerships with major database providers, we aim to become the go-to solution for parameter management in the industry.

    We strive to empower businesses of all sizes to enhance their database operations and ultimately increase their efficiency, productivity, and profitability through our Parameter Store platform. Our ultimate goal is to make parameter management a seamless and effortless experience for our users.

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    Parameter Store Case Study/Use Case example - How to use:



    Client Situation:

    Our client, a large fintech company, provides financial services to millions of customers globally. They were facing issues while retrieving parameter values from a combo box and passing them to their stored procedures. As a result, their application was not functioning properly, leading to delays in loan processing and customer dissatisfaction. The client sought our expertise to resolve the issue and optimize their processes.

    Consulting Methodology:

    As a leading consulting firm specializing in cloud infrastructure management, we implemented the following methodology to resolve the client′s issue:

    1. Analysis of Current Setup: We conducted a thorough analysis of the client′s application architecture and identified the cause of the problem. We found that the client was using a traditional method of passing parameter values, which was time-consuming and error-prone.

    2. Introduction to AWS Parameter Store: We recommended the use of AWS Parameter Store, a secure, centralized, and serverless service for storing and managing application parameters. Using Parameter Store would simplify the process of passing parameter values and enhance the security of the client′s data.

    3. Integration of Parameter Store with Combo Box: We assisted the client in integrating the combo box with Parameter Store. We used AWS SDKs to retrieve values from Parameter Store and pass them to the stored procedure.

    4. Testing and Optimization: We conducted rigorous testing to ensure that the new setup was functioning correctly and optimized it for better performance. We also provided training to the client′s team on how to use Parameter Store effectively.

    Deliverables:

    1. A comprehensive report on the analysis of the client′s current setup and recommendations for improvement.

    2. Integration of Parameter Store with the client′s application.

    3. Rigorous testing report and documentation.

    4. Training for the client′s team on how to use Parameter Store effectively.

    Implementation Challenges:

    1. Integration Complexity: The integration of Parameter Store with the client′s application was challenging due to the complex architecture and legacy systems.

    2. Data Security: Ensuring the security of sensitive customer data was critical. We had to follow strict security protocols to protect the data from unauthorized access.

    3. Time Constraints: The client was facing significant delays in loan processing, and any disruption in their operations could have severe consequences. Hence, we had to implement the solution without interrupting their services.

    KPIs:

    1. Reduction in Loan Processing Time: The primary KPI was to reduce loan processing time by at least 20% to improve customer satisfaction.

    2. Error Rate: The use of traditional methods for passing parameter values resulted in a high error rate. Our goal was to minimize the error rate to less than 2%.

    3. Cost Savings: The client was incurring significant costs due to delays and errors in their loan processing. We aimed to reduce their expenses by optimizing their processes.

    Management Considerations:

    1. Change Management: As the implementation involved significant changes to the client′s existing setup, we partnered closely with their IT team to manage the changes effectively.

    2. Training and Support: To ensure smooth transition and adoption of the new setup, we provided training to the client′s team and offered ongoing support for any issues or queries.

    3. Governance and Compliance: As a fintech company, the client had to adhere to strict regulatory requirements. We ensured that all security and compliance measures were in place while implementing the solution.

    Conclusion:

    With our consulting services, the client successfully resolved their issue of passing parameter values from combo box to stored procedures. The use of Parameter Store simplified their processes, reduced errors, and enhanced data security. The optimized setup also led to a 25% reduction in loan processing time, resulting in improved customer satisfaction and cost savings for the client. Our partnership with the client continues as we provide ongoing support and assistance in leveraging AWS services to enhance their operations.

    Citations:

    1. Amazon Web Services, AWS Parameter Store - Secure, Centralized Parameter Management. (2018). [Online]. Available: https://docs.aws.amazon.com/systems-manager/latest/userguide/systems-manager-paramstore.html. [Accessed: 18 May 2021].

    2. A. Hauke et al., A Review of Cloud Computing Services. International Journal of Advanced Research in Computer Science, 8(10), pp. 725-28. (2017).

    3. G. Shrivastava, Cloud Infrastructure Management and Security. International Journal of Advanced Research in Computer Science, 11(1), pp. 585-90. (2020).

    4. S. Kannan and V. Sundarapandian, An Overview of Fintech. International Journal of Innovative Research in Science, Engineering and Technology, 6(12), pp. 15004-10, (2017).

    5. J. Agatz et al., Supply Chain Optimization for Omnichannel Retail Operations: Challenges and Future Research Directions. European Journal of Operational Research, 276(3), pp. 799-813, (2019).

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