Waterfall vs Agile | Learn Differences between Agile and Waterfall


Waterfall Model vs Agile – Table of Content

What is an Agile Model? 

Agile methodology is a squad theory that addresses the full growth of a programming tool while emphasizing product quality. It describes a sprint, which is a time-boxed phase that lasts two weeks. A list of performance metrics is favored at the beginning of each sprint customer feedback. The team and the client assess the jobs at the end of the sprint, writing observations for system development. Agile methodology is defined as a methodology based on broad principles, with more exact techniques based on procedures, such as Scrum and Kanban, being called types of agile methodology.

Agile Model

Agile technique encourages the ongoing communication between development and testing throughout the software development life cycle of any project. The development and testing processes in agile model are performed parallelly in contrast to the Waterfall model.The agile technique promotes open communication between managers, developers, and testers.

The entire project is broken up into manageable incremental builds when using the Agile methodology. Each iteration of these builds lasts one to three weeks, and they are all offered in iterations. For many firms, the agile development process and testing techniques have had great success. Agile’s advantages are openly acknowledged. They are particularly noticeable in workplaces.

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Why the Agile Model?

The agile methodology is adopted due to following reasons. They are:

  • It focuses on delivering quality products and makes the customers happy.
  • Agile processes are more efficient and reliable
  • Iit comes with a variety of methods in order to fulfill the needs of the customers.
  • It creates the work culture that increases productivity and quality.
  • The agile principles help in motivating the team members very easily.

What is a Waterfall Model?

Waterfall methodology is a continuous demand to SDLC that separates it into separate stages such as requirement analysis, analysis and design, coding and unit testing, system and user acceptance testing, and deployment. The next phase will start only after the prior phase is finished. A project or a document is anticipated to be approved off between those phases. All phases are really only delivered through and finished once, so all specifications are collected as much as feasible at the outset aim of providing information for the creation of plans, schedules, budgets, and resources. Because it is plan-driven, any changes made after the project has begun would invalidate the original plan and necessitate a restart.

Waterfall model

It is one of the most conventional and simple models to operate. Every phase has specific deliverables and a review procedure due to the conventional development structure of the project. In smaller projects with clearly defined needs, the waterfall paradigm performs well.

The waterfall model is the most widely used Software Development Life Cycle. This approach divides the entire software development process into a number of segments. Given that it is a continuous software development approach, the development in the waterfall model is viewed as flowing steadily downward (like a cascade). Because of how its diagrammatic representation resembles a cascade of waterfalls, this model is known as the “Waterfall Model.”

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Why the Waterfall Model?

The waterfall model is preferred due to following reasons. They are:

  • The Waterfall methodology, as an internal process, places little emphasis on the end user or client involved in a project.
  • Its primary goal has always been to assist internal teams in moving more efficiently through project phases, which can be beneficial in the software world.
  •  Waterfall model is not suitable for large-scale projects.
  • The waterfall model’s requirements should be crystal clear from the start; otherwise, the process may be less effective.
  • In large projects, when we are applying a waterfall model, it is challenging to go back and make adjustments in an earlier phase
  • In the waterfall model, testing begins after development is finished. As a result, there is a good likelihood that bugs will be discovered as the project develops.

Comparison between Agile vs Waterfall

Following are some of the differences between Agile and Waterfall models:

  • Life Cycle: The Agile Model is defined as a continuous iteration life cycle used to create and test software While Waterfall is a linear sequential approach for software development and testing.
  • Rigidity: Waterfall approach is a rigid and structured way of developing a software while Agile is a flexible approach to software development.
  • Collaboration: Agile is a collaborative approach to software development that produces better results while Waterfall is a less flexible approach that follows a set of steps and prevents collaboration of the team.
  • Process: In Agile, the whole development process is split up into sprints while in the Waterfall model, the software development process is divided into various phases.
  • Testing: In the Agile model, testing is carried out during the same iteration as programming or development of software. In this approach, the testing team can participate in the requirement modification phase. While in the Waterfall model, testing is done during the development phase. In this approach the testing team finds it challenging to start any modification in needs.
  • Focus: Agile Model is solely concerned with developing a simple method for team communication and customer satisfaction. While Waterfall model focuses on the sequence of steps. It consists of two crucial components: products and processes.
  • Projects: Agile method is appropriate for the projects where it is anticipated that needs may change and evolve while waterfall method is appropriate for projects with clearly specific requirements and no anticipated changes.
  • Customer Satisfaction: By including customers at every stage of the development process, the Agile process places a strong emphasis on customer happiness. While the waterfall model has relatively little customer engagement. It’s because a waterfall model delivers the finished product to the customer after complete development.
  • Scope: Agile methodology accepts change, but at the expense of price, timeliness, or other features. It is effective when the scope is understood in advance while waterfall methodology is effective when the scope is understood in advance or when the conditions of the contract prohibit alterations.
  • Nature of Execution: In Agile methodology, the requirements may change even after the development process has begun, making the agile paradigm adaptable. Contrarily, the waterfall model is strict since it forbids changing the requirements after the development process has begun.
  • Budget: Agile is flexible and welcomes adaptation, experimentation, and changes in course—even in the project’s later stages. The budget is typically more adaptable as a result. While in Agile methodology, the budget is typically established for projects. Since the project is planned out from beginning to end, it is less possible to alter the budget in the middle of it.
  • Documentation: Agile projects often require some level of documentation to keep them stable. Agile, however, favours collaboration above documentation as a preferred method of knowledge transfer. While Waterfall approach offers project milestones that make it easy to gauge progress. Consequently, the waterfall project management style places a high value on thorough documentation.

Advantages and Disadvantages of Agile:

The Advantages of the Agile Model are:

  • It is a client-focused process. As a result, it ensures that the client is constantly involved at all stages.
  • Agile teams are highly motivated and self-organized, so they are more likely to produce better results from development projects.
    The a
  • gile software development method ensures that development quality is maintained.
  • The procedure is entirely based on incremental progress. As a result, the client and team are aware of what is and is not complete. This lowers the risk of the development process.

The Disadvantages of the Agile Model are:

  • Agile necessitates a high level of customer participation, which not all customers are comfortable with or prefer to provide.
  • Agile assumes that every team member is completely committed to the project, which undermines the self-management principle.
  • A time-boxed iteration may not be enough to accommodate all deliverables, necessitating changes in priority and additional sprints, which may result in delays.
  • Agile suggests co-location for effective communication, and it’s not always conceivable.
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Advantages and Disadvantages of Waterfall:

The Advantages of the Waterfall Model are:

  • It is one of the simplest models to manage. Because of the nature of the project, each phase has distinct deliverables and a review process.
  • It works well for smaller projects with easily understood requirements.
  • Project completion will be completed more quickly.
  • Both the process and the results are meticulously documented.
  • Method for changing teams that is easily adaptable
  • This project management methodology is useful for dealing with dependencies.

The Disadvantages of the Waterfall Model are:

  • Structure that is rigid enough to allow for necessary changes
  • There is no exemption for uncertainty.
  • Customer experience is low, resulting in low satisfaction.
  • The sequential approach is not appropriate for a large-scale project with an end result that is too far in the future.
  • Only at the end of the project is testing performed.

Limitations of Agile:

The limitations of the agile model are:

  • It is an ineffective option for small infrastructure projects.
  • Important decisions must be made in the meeting by an expert.
  • When compared to other development methodologies, the cost of implementing an agile method is slightly higher.
  • If the project manager is unsure of what outcome he or she desires, the project can easily detail.

Limitation of Waterfall Model

The limitations of the waterfall model are:

  • It is not a good model for a large project.
  • It is a less effective method if the requirement is not clear from the start.
  • It is extremely difficult to return to previous phases and make changes.
  • After development is completed, the testing process begins. As a result, there is a high likelihood that bugs will be discovered later in development, when they will be costly to fix.

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Conclusion:

Both approaches are adoptable but only based on the customers or clients requirements.After determining the basic methodology to use, one can fine-tune the procedure to best suit our project objectives. Finally, while the manner in which we do our tasks is essential, really what matters is that we produce a solid and sustainable system that fits our customer.

Other Related Article:

1. Agile Prioritization Techniques

2. Agile VS Scrum



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What is Looker?

Looker is defined as a self-service big data and BI(Business Intelligence) software that helps in solving the problem of SQL in creating data analytics.  It plays a very important role in big companies as it tends to help in getting values from the data of the company and giving a complete 360-degree view of it to the customers. It is helpful in industries such as eCommerce, gaming, finTech, medic, AdTech, Saas, etc. The main benefit of Looker is that it helps in providing a unified view of the company, hence each department of the company is satisfied by the needs and is successful in having the desired unified view. It is not difficult to set up a looker as it can be done quickly using some pre-built applications.

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Looker is compatible working with both web-based data as well as SQL. It is known to support over 25 different applications such as Hive, Vertica, BigQuery, Spark, etc. 

The main key features of Looker are stated below:

  • Helps in data visualization
  • Helps in defining business metrics
  • Data modeling languages
  • Breaks the barriers to insights
  • Optimizes cost
  • Enhances performance
  • It has embedded analytics
  • It has integrations with relational databases
  • Formation of reports and KPI dashboards

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How does Looker Work?

Looker is basically used for creating SQL queries and then passing them into the database connection. Hence, looker produces the SQL queries which are based on the project called LookML, describing the relationship between the tables and their columns present in the database. Let us understand the working of the looker in the section below:

1. Viewing the query:

A user can simply use the SQL tab present in the Looker’s data section and know what all is Looker sending into the database for getting the data. The user can even use the bottom links for viewing the query present in the SQL runner.
Let us refer to the image below for a better understanding:

, Business Intelligence & Analytics, looker-dashboard-description-0, Viewing the query, Business Intelligence & Analytics, looker-dashboard-description-1

2. The canonical form of a Looker Query:

The dimensions, views, measures, explores and references, etc are all defined in the LookML project. Let us refer to the image below:

, Business Intelligence & Analytics, looker-dashboard-description-0, Viewing the query, Business Intelligence & Analytics, looker-dashboard-description-1, he canonical form of a Looker Query, Business Intelligence & Analytics, looker-dashboard-description-2

3. Running raw SQL in Looker’s SQL Runner:

The Looker consists of a feature called SQL runner that helps in running the SQL against DB connections the user has set up inside the Looker. The raw queries present in the SQL are executed in the SQL Runner producing an identical outcome. The SQL runner also helps in highlighting the errors present in the SQL command along with the position of the error in the message in case the SQL gets any kind of errors.

Looker Blocks

The looker blocks are defined as the pre-built pre-built models of data that are used for accelerating the sources of data and their analytics patterns. These are also called the entry points used for flexible, easy, and quick analytics. 

Let us have a look at a few looker blocks and discuss their usage:

Source Blocks: These are the data sources for the analytics, working as a third party. 
Analytic Blocks: Helps in various types of analysis of the design patterns
Data Tools: They have multiple data analytic techniques.
Data Blocks: They have public data which is pre-modeled.
Viz Blocks: Represents the output of the query of the type custom visualization
Embedded Blocks: Embeds the data into customized apps 

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If you want to Explore more about Looker? then read our updated article – Looker Tutorial

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Looker Dashboard

Looker Dashboard is defined as a collection of queries that can be displayed in the form of visualizations on a screen as a dashboard. Looker dashboard helps users in altering filters on the dashboards, setting up the delivery schedules on the dashboard, applying alerts to the tiles and downloading data on the dashboard, etc.

The looker dashboard helps in building a query using the steps below:

1. The name has to be given to the query
2. The field and filters needed to be assigned to the query
3. The visualization options need to be configured
4. Click Run once the query is setup
5. The query is saved as a tile using save on the dashboard. 

There are a few things that users can perform using the looker dashboard: 

  • Viewing the dashboard: It helps in a lot of ways such as changing filter values of the dashboard, pinning the e dashboard, updating data on the dashboard, drilling and exploring data points, viewing the LookML dashboard, legacy dashboard, etc.
  • Creating user-defined dashboard: Used for creating dashboard tiles and creation of dashboards. 
  • Editing user-defined dashboard: The editing part such as re-arranging, editing tiles of the dashboard, settings of the dashboard, deleting the dashboard, etc. 
  • Adding saved content to the dashboard: It performs features such as editing, configuring, addition, and deleting the dashboard.
  • Cross-filtering dashboard: It performs features like cross-filtering, drilling, sharing, etc.
  • Scheduling dashboard: It helps in sending a dashboard to the email after scheduling it.
  • Comparison of user-defined and LookML dashboard: Understanding various user-defined dashboard features and looker dashboard characteristics.
Usage

The looker’s Usage page is defined as the dashboard-created dashboard for presenting useful information related to the Looker instance. It enables the admins to use their data and understand it better for further utilizing it in the applications. The usage page is found under the Server section in the admin menu.

The i_ _ Looker Model

The information present in the looker model is contained in the i _ _ looker. It helps the user in building custom and useful reports.  

Usage Dashboard

A user can access the usage dashboard using the looker’s Admin page.

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The download can be scheduled in the usage dashboard in a similar manner to any other dashboard. The metrics can be drilled along with the elements easily. 

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Query by Source Title

The query source title is present at the top of the Usage page and it contains all the information about the queries and the number of queries present in the Looker. The sources for this are mentioned below:

  • Dashboard: It has queries related to the tiles.
  • Explore: It has a query related to explorer running.
  • Renderer: It has a query related to generating images.
  • Query: It has a query related to the looker’s internal database.
  • SQL Runner: The queries are run directly in the SQL
  • Saved Look: It contains queries related to looks
  • Public Embed: The query can run from the content accessed via a non-private URL.

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 Conclusion

Looker is an amazing tool to work with as its features and robustness are great. Looker is defined as a self-service big data and BI (Business Intelligence) software that helps in solving the problem of SQL in creating data analytics. The looker’s dashboard is defined as a collection of queries that can be displayed in the form of visualizations on a screen as a dashboard. In this article, we have discussed more lookers such as its working and its features along with the usage model and i _ _ looker model.

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