Skip to main content

Ui vs api

 In a data-rich engineering web app where GraphQL is used for data retrieval, the time ratio between API development and UI development can vary based on several factors:


1. Data Complexity:If the data structures are complex or have varying relationships, more time might be spent on API development to ensure efficient querying and data retrieval.


2. UI Customization Needs: When the UI requires extensive customization for each section or table, additional time might be allocated to UI development to ensure each component meets specific requirements.


3. Integration Challenges:Bridging the gap between the GraphQL responses and UI components, especially in scenarios where components cannot be easily reused, can significantly impact the time spent on integration efforts.


4. Functionality and User Interactions: If the application involves complex user interactions, form handling, validations, or real-time updates, a considerable amount of time may be dedicated to implementing these features in the UI layer.


5. Testing and Optimization:Both the API and UI layers require thorough testing, but the complexity and breadth of the UI might demand more time for testing and optimization. 

Let's delve into the statistics and a more detailed example of an engineering data app with multi-level JSON data, emphasizing the UI complexities:


Development Time Breakdown:


- UI Development Time: Reports suggest UI/UX development often consumes about 50-70% of the total project time for applications handling complex data structures. This includes creating components, managing state, and ensuring data flow between parent-child components.


- Backend (GraphQL API) Time: Meanwhile, GraphQL API development typically accounts for 20-30% of the total time. This phase focuses on schema design, resolvers, and ensuring efficient data retrieval.


Example: Engineering Data App - Multi-level JSON Data:


Imagine an engineering monitoring dashboard powered by GraphQL. It presents hierarchical data structures like equipment, subsystems, and sensor readings.


- UI Complexity:

   - Nested Components:Representing multi-level JSON data involves creating nested components to display different levels of information. For instance, a dashboard might contain equipment cards showing subsystems, and each subsystem might have sensor data visualization components.

   

   - Data Communication:Ensuring seamless communication between parent and child components to populate and update data accurately requires intricate state management and event handling.


- GraphQL Integration:

   - GraphQL Queries:Utilizing GraphQL queries to fetch hierarchical data can simplify data retrieval. However, mapping this data effectively onto various UI components requires meticulous handling to match each component's requirements.


Impact on User Experience and Business:


- User Experience: A well-designed UI that effectively translates complex data into intuitive visualizations ensures engineers can swiftly comprehend critical information, reducing the risk of errors and improving decision-making.


- Business Impact:A subpar UI that fails to efficiently display multi-level engineering data may lead to confusion or misinterpretation, potentially impacting operational efficiency or even safety protocols. Conversely, a user-friendly interface significantly enhances productivity and reduces the likelihood of errors.


In engineering applications dealing with multi-level JSON data, UI development takes precedence due to its intricacies in handling nested components and ensuring smooth data communication. While GraphQL aids in data retrieval, it's the effective translation of this data into an intuitive interface that truly elevates user experience, impacting the success of the application in critical operational settings.

As a generalized estimate, in data-rich engineering web apps leveraging GraphQL, the time ratio might lean towards spending slightly more time on UI development and integration (potentially around 1.5x to 2x) compared to the API development phase. However, this ratio can significantly vary based on the specific project's requirements, complexities, and the team's expertise in GraphQL, Angular, and overall application development.

Comments

Post a Comment

Popular posts from this blog

Team is the culture

 In the fast-paced world of modern technology, where innovation and collaboration were the lifeblood of success, a tale of transformation emerged, driven by the power of unity and positive change. In the heart of a bustling tech company, a team of skilled professionals worked tirelessly to bring their projects to life. However, an undercurrent of bossy culture and minor office politics threatened to cast a shadow over their enthusiasm and camaraderie. Amidst the whirlwind of deadlines and complex problem-solving, tensions simmered under the surface. A bossy culture, where authoritarian leadership overshadowed open communication, cast a pall over the team's potential. Minor office politics, like stealthy specters, attempted to sow discord and division among colleagues who once shared dreams and aspirations. However, in the face of these challenges, a whisper of change began to stir. It started with a few individuals who refused to succumb to the negativity. A senior engineer named M...
Post a Comment
Read more

AWS and languages

Amazon Web Services (AWS) provides a wide range of services and tools, many of which are built using Java. Java is one of the primary programming languages used at AWS for developing various components. AWS is a platform that provides cloud services for organizations of all sizes. In particular, AWS uses Java to provide the platform’s core functionality, such as computing and storage. Java is a popular programming language that allows developers to create software applications. Furthermore, AWS also uses other languages, such as Python and Ruby, to provide specific features How is Java used in AWS applications? A huge number of open-source big data offerings are written using the Java programming language. It’s massively popular with AWS customers and cloud specialists because it’s just so easy to write, compile, debug and learn.   Using Java, developers can create both modular programs and reusable code meaning you can deploy you...
Post a Comment
Read more

Let's question ourselves

 The responsibility of technology to stabilize and develop society and humanity is multifaceted. Here are some key aspects: 1. Ethical Design:Technology should be designed with ethical considerations, ensuring it doesn't harm individuals, communities, or the environment. This includes avoiding biases in AI algorithms and promoting user privacy. 2. Accessibility:Technology should be accessible to all, regardless of their economic, social, or physical backgrounds. This helps prevent further societal disparities. 3. Education: Promoting digital literacy and tech education is crucial. Ensuring that individuals can understand, navigate, and use technology empowers them in the modern world. 4. Innovation for Good: Technological innovation should focus on solving real-world problems, from healthcare to environmental issues, contributing to societal well-being. 5. Sustainability: Technology should be developed in ways that minimize its environmental impact. Sustainable practices, from desi...
Post a Comment
Read more