Data Warehouse is a single repository to store all the data from an organization’s databases and related sources in one place. All the forms of structured and unstructured data in different formats and visualizations are extracted from the organization and transformed. Depending upon an organization’s approach, data could be transformed before or after loading into the Warehouse.
Besides acting as a single source of truth for your organization, Data Warehouse services offer storing large amounts of data, finding correlation patterns, and recognition for business decision-making. It effectively helps in data analytics, visualizations, and reporting.
(more…)
Of course, we could not walk by the latest technological novelty for passionate developers.
We are glad to present a new WebDataRocks Pivot Grid integration with Flutter.
Flutter is known to be the most solid cross-platform application development instrument. High performance and development speed is achieved through unique techniques.
So, Flutter is the best solution to build beautiful, natively compiled, multi-platform applications from a single codebase.
Yes, there are many to highlight!
WebDataRocks is a comfortable solution for embedding data visualization into your application. The integration process is not difficult, we have a 5-step tutorial on how to add WebDataRocks into your project.
Start with cloning the repository with following commands and all dependencies:
git clone https://github.com/webdatarocks/pivot-flutter cd pivot-flutter dart pub get
Then connect it to your device. Learn in docs how to configure Android and iOS devices.
Then simply run the project via console:
flutter run
Now you can enjoy our classic demo built with the Flutter framework! To learn more, visit the documentation page.
Have you already checked your achievements this year? That is what an annual report is created for. You collect data, analyze it, and explore which of your decisions led to such a result and, based on conclusions, develop further strategies for the next year.
Words âdataâ and âanalyzeâ should nudge you towards the fact you have to deal with data visualization. So an annual report essentially means to be a convenient way to present information. But to make it as comfortable as it can be it is important to choose the right way to provide your data.
The well-known thing is that charts and graphics are the best both for visualizing and analyzing information because it is very easy to compare measures. Although there can be situations when you can not use either of those. For example, you decided to check the progress of the employees. There are thousands of them which means your column chart (as for an example) will look like a comb and going through it would not be a pleasant thing. How to get around that?
Imagine⊠December. Several days before Christmas. The North Pole. Everything is nearly ready: presents are wrapped, and the sleigh is on the way. But Santa still has some spare time, so he decides to reward elves for their outstanding work. Also, he wants to motivate them to do their job even better next year. So he makes a big report where each elf can see himself, his indicators and compare them to others. How to do it beautifully and just in several steps?
Santa will definitely use WebDataRocks Pivot Table because it is free and provides all necessary features. Let’s have a look at his grid and how he managed to create it.
As a data source, Santa used JSON and created a function that returns all this data right in code.
function getJSONData() {
return [{
"Employee name": "Gerald Tumini",
"Working hours": 2089,
"Percentage of satisfied customers": 100,
"Amount of processed applications": 2052,
"Amount of customers brought by": 46,
}
...
]
"dataSource": {
"data": getJSONData()
}
As you can see, there is no such column as efficiency ratio. Actually, it is the thing that needed to be found out so Santa created a calculating value using formula:
sum(\"Amount of toys made\") * sum(\"Percentage of satisfied customers\") / 100 / sum(\"Working hours\") "
It will calculate how many satisfied customers an elf âproducesâ per hour.
{
"uniqueName": "Efficiency ratio",
"formula": " sum(\"Amount of toys made\") * sum(\"Percentage of satisfied customers\") / 100 / sum(\"Working hours\") ",
"caption": "Efficiency ratio"
}
Also, Santa used sorting for this column so elves could easily understand how good or bad they are compared to the others.
"sorting": {
"column": {
"type": "desc",
"tuple": [],
"measure": "Efficiency ratio"
}
}
Why not display the efficiency ratio with icons instead of numbers? For such an interesting look, Santa implemented the customizeCell function, which adds an icon to a cell depending on its value. By the way, Santa found icons on Flaticon. customizeCell is applied to all cells on the grid, but since the ratio is the only metric we’d like to highlight with icons, we can use extra conditions to prevent our icons from appearing in other columns.
function customizeCell(cell, data) {
if (data.type == "value") {
if (data.value < 0.45 && data.value > 0) {
cell.text = "link to your image";
} else if (data.value > 0.45 && data.value < 0.5) {
cell.text = "link to your image";
} else if (data.value > 0.5 && data.value < 1) {
cell.text = "link to your image";
} else if (data.value > 1 && data.value < 1.17) {
cell.text = "link to your image";
} else if (data.value > 1.17 && data.value < 2) {
cell.text = "link to your image";
}
}
}
To save time, Santa added the class attribute to all the icons and named it “centered”. This way, he managed to create a unified style for all of them using CSS properties that control their size and appearance.
img.centered {
margin: auto !important;
padding-bottom: 10px;
color: transparent !important;
width: 28px;
height: 30px;
display: flex;
align-items: center;
font-size: 12px;
position: relative;
bottom: 4px;
left: 6px;
}
As it is an official report, Santa created a beautiful pattern with corporate colors, red and green. For this, he simply applied conditional formatting to each measure: he wrote the format of the cell after conditioning and formula that will always return true so the formatting will apply to the whole column.
"conditions": [
{
"formula": "#value > 1.17",
"measure": "Efficiency ratio",
"format": {
"backgroundColor": "#FDD835",
"color": "#FFFFFF",
"fontFamily": "Arial",
"fontSize": "12px"
}
},
{
"formula": "#value >= 2900",
"measure": "Working hours",
"format": {
"backgroundColor": "#689F38",
"color": "#FFFFFF",
"fontFamily": "Arial",
"fontSize": "12px"
}
},
...
]
See the Pen Annual report – Santa edition by WebDataRocks (@webdatarocks) on CodePen.
Now all the elves will see how much they have made through this year and how proud Santa is of them (or not…) And Santa knows exactly who will receive some extra candies for his great work. Also, with such a beautiful Christmas report, everybody will feel the holiday spirit and be in the right mood!
With such an example, now you can create amazing and functional reports by yourself. If you are interested and want to learn more, check out the full demo on CodePen.
Are you ready for Halloween?
In celebration of this spooky holiday, weâve decided to pick top WebDataRocks samples dedicated to Halloween. Not only youâll play with fun demos but also learn how to create analytical reports based on any kind of data.
Letâs start!
See the Pen Halloween demo with WebDataRocks and Highcharts: pumpkin prices analysis by WebDataRocks (@webdatarocks) on CodePen.
More than 1.5 billion pounds of pumpkin are grown in the US each year. What are their prices? In this demo, youâll see how to analyze the prices of pumpkins that are grown in different cities of the US and varied by size, color, package, and grade. You may even notice the trends in how the prices change depending on the season.
The only tools you need to create such an interactive dashboard are WebDataRocks and Highcharts – JavaScript libraries for reporting and data visualization. With WebDataRocks, you can pre-process data before further visualization. Simply load it into the pivot, arrange the fields on the grid, aggregate the data, sort it and highlight important cells. With Highcharts, you can build custom charts based on the summarized data retrieved from WebDataRocks Pivot.
The entire process is as simple as a pumpkin pie – you can find all the instructions in the guide and learn how to make the pivot table and charts work together swiftly.
As a result, you get a ready-to-use tool for generating insightful reports in PDF, HTML, or Excel.
See the Pen WebDataRocks: Analysis of IMDB Horror Movie Dataset by WebDataRocks (@webdatarocks) on CodePen.
Whatâs your favorite way to celebrate Halloween? If youâre searching for a creepy movie to watch on All Hallows Eve – great news! We did it for you!
The next demo is built using WebDataRocks and FusionCharts. With it, youâll find the movies with the highest rankings grouped by genres and release dates.
The last but not least – the dashboard is dark-themed, meaning you can apply dark styles both to WebDataRocks and FusionCharts.
What else can match the mood of Halloween if not the black color? ?
See the Pen WebDataRocks Pivot: Analysis of Candy Power Ranking by WebDataRocks (@webdatarocks) on CodePen.
Not a big fan of pumpkins and horror movies? Looking forward to Halloween just for the sake of Halloween candies?
If you have a sweet tooth, this demo is for you. ?
With the Candy Power Ranking data set and WebDataRocks Pivot, youâll discover the most and the least popular Halloween candies, as well as the sweetest and the most expensive ones. Try rearranging the reportâs fields to group the candies by constituents and extract new insights from the data.
If youâd like to take a closer look at the out-of-the-box features of WebDataRocks Pivot, you are welcome to see our comprehensive UI guide that covers every piece of functionality available to the end-users.
If you are more interested in how to configure the reporting tool with code, check out our API reference and get hands-on experience with demos on CodePen.
All the demos mentioned in the blog post are based on the data from Kaggle.
Feel free to download the full data sets, connect them to the pivot table and come up with your own way of the reportâs layout. Take the full advantage of filtering, aggregating, sorting, drag-and-drop, and drill-down features – they are designed exactly for bringing your reporting to new heights.Â
Research indicates that Cross-platform development of mobile apps saves 30-40% as compared to Native apps.
Cross-platform app development is in demand, and software developers welcome this change wholeheartedly. Being a web owner, you need to have the top-notch quality of cross-platform apps for expanding your digital business. Even mobile developers love using cross-platform apps since they are affordable and have a small development cycle.
An appropriate framework can help in developing a trustworthy and successful cross-platform app. React Native is one such framework that has achieved the title of âPrime Choiceâ for mobile app development.
React Native is the most successful web library of Facebook. Not only does Reach Native stand high amongst other platforms, but its open-source UI software framework and its scalability to develop apps for varied operating systems like Android, iOS, Windows, macOS, etc. make it a leader for start-up apps.
Skype, Facebook, Walmart, Instagram, Pinterest, etc. all use this framework.
For native mobile app development, the only choice for app developers is React Native. It beats all the platforms in the market and in a short period, this framework has managed to win millions of hearts with its awesome features, performance, and ease to use.
The popularity of React Native is also because it permits developers to create thrilling real mobile applications using JavaScript. A single code that is dually compatible (used for iOS and Android) can be used in developing applications. This in turn reduces the development time and cost also.
Selecting the perfect React Native local database for your application can be a challenge in itself. Application requirements and application security are the most pivotal factors which need to be considered before selecting the native local database.
Few more checkpoints need to be considered before plunging into a decision. They are:
The list is huge. Remember that your choice will affect the performance of your application and hence letâs view all the pivotal factors in detail before you make your final choice.
1. Data Conflicts and Concurrency:
The more cooperative the application, the more conflicts are bound to arise. You should be able to trace the databases which can handle and take care of conflicts smoothly. Do a thorough check on the documents of the database, and check out the ways they manage the conflicts as well as their impact on the applications.
Moreover, when an app becomes popular, the developers need to be more cautious, since it brings in a vast amount of data. Varied user requests need to be addressed with perfection and accuracy and ensure that all the conflicts, as well as the concurrency, are properly carried out by the React Native local database.
2. Synchronization of Offline Data:
Users are very demanding. They require their apps to function not only in online mode but also in offline mode too in case of internet issues. Hence, it’s vital to look out for such a database that allows data synchronization for users when they face low internet issues.
3. Complex Data:
Lookout for a database that can take care of complex data structures. It is evaluated that for maximum applications, data is well-maintained in the key values format or a JSON structure. It is therefore important to choose a proper database that can handle complex data structure for example, complete documents or objects.
4. Several Code Lines:
Let me commence this with an example. Suppose you need 18 code lines to write SQL CRUD (create, read, update, delete). Donât make the mistake of choosing an advanced database, since such advanced versions are responsible for creating complexities in your coding. This in turn impacts your database performance.
Processing of codes may even slow down your app or create a lagging effect.
We have noticed that apps having advanced functions can impact user experience as well as app speed, so beware before using such advanced databases.
5. Memory Handling:
Are you aware that poor handling of data, may lead to application crashes? An important memory management process called Squeezing deletes unwanted and unused data.
Usually, the majority of the React Native databases have the feature to clear cache regularly, to ascertain enough memory space for smooth functioning of the application.
6. Ease of Use:
This is the most important factor which needs to be considered before making a final choice of the database. Your selected React Native database should be such that developers can combine the same with fewer efforts. This not only enhances the development process but also simplifies the work of the developer.
Now that you are aware of the check-points and the factors to consider for the selection of your React Native database, letâs proceed to find the most appropriate database for the same.
There are varied React Native databases for mobile applications, of which we have listed the best ones, their features, their benefits, and their clients.
The Realm database is licensed under the Apache License and built especially for mobile devices. It can manage huge load data of complex data and is quick and easy to use. Software developers love the Realm database since it’s easy to develop mobile apps both online and offline. This open-source (alternative to SQLite & Core Data) and object-oriented database functions 10 times quicker than the relational database. It can be customized for varied OS like iOS, Android, JavaScript, etc.
Apart from this, Realm also supports tablets and wearables.
The popularity of React Native’s local database lies in handling high securities. It uses varied encryption protocols for varied platforms.
With Realm, developers can:
Features:
Advantages:
Disadvantages:
Who uses Realm?
SQLite is a software library that uses a serverless and zero-configuration transactional database engine that is written in C language. This self-contained library is an ideal React Native database since it provides huge storage for mobile applications.
SQLite is becoming quite popular and desirable since the entire data storage is done on devices. This factor permits the software developers to diverge from the client-server architecture. SQLite is even useful for offline apps since varied platforms are supporting it, which makes app installation easy.
Since all the SQL-based policies are followed by SQLite, itâs amenable to atomicity and isolation. This small, quick, and reliable database engine can be easily integrated with mobile apps.
The best part of the SQLite database is its plugin termed react-native-SQLite-storage which can be used for Android as well as iOS platforms.
This React Native database writes content directly into files rather than the server. The content is stored in plain text and can be encrypted with an SQLite extension named SEE (SQLite Encryption Extension) or SQLiteCrypt etc. for app security.
Features:
Advantages:
Disadvantages:
Who uses SQLite?
Firebase is a Backend-as-a-service (BaaS) and a well-known database which is owned by Google. This database is deprived of NoSQL and is ideal for offline data change and synchronization. This is a React Native backend database with awesome technology and can handle the MVX requirements for mobile applications.
Web developers who use this React Native database can save time and effort in setting up a private server for securing data. Firebase is also beneficial for banks and other financial institutions due to its compatibility with SOX regulations.
Features of Firebase:
Advantages:
Disadvantages:
Who uses Firebase?
PouchDB is an open-source JavaScript database that works for online as well as offline apps. In the offline mode, it enables the apps to store data locally, and it syncs with CouchDB and servers when the application mode is changed to online, thus syncing user data at all times.
Since the JSON (JavaScript Object Notation) format of JavaScript is used in this database, software developers find it easy to create, update, write or delete objects with JavaScript API.
Robust mechanisms, single-call API access for developers, and awesome compatibility with server-side databases like MySQL, MongoDB, etc. make this database an ideal choice.
Pocket DB has a helpful replication feature, which empowers information to match up with different clients without any data loss. Furthermore, PouchDB is remarkable with regard to security. Also, itâs not storing your password. However, it encrypts communication through RapidSSL Certificate. With such a protected local database react native, you can have confidence that your application will be protected.
Features:
Advantages:
Disadvantages:
None
Who uses PouchDB?
WatermelonDB is a new and optimized way that helps create complex apps in React Native and React Web. With the motto to deliver world-class performance by quick app launch, WatermelonDB also permits offline data syncing just like other databases.
This open-source React Native database is built over SQLite and offers ultimate performance to the React Native local database. Coming with an ability to scale ample records in a minute without compromising on speed, this React Native database can deal with multithreaded and highly cached async operations.
Another best feature of this database is that it can resolve queries instantly since it functions only on request. Any modifications in the database can be instantly delivered on user interfaces.
Features:
Advantages:
Disadvantages:
Who uses WatermelonDB?
Few StackShare developers use this database.
Vasern is a fast, light-weight, and open-source React Native database, having a C++ library that permits developers to set up database apps quickly.
Its main focus is based on consistency and performance. Built with thin layers and zero dependencies, this database offers simple APIs. This permits developers to develop database apps quickly.
Features:
Advantages:
Disadvantages:
Who uses Vasern?
AWS DynamoDB Database is a completely functional, serverless, and fully-managed NoSQL database service. This React Native database runs on Amazonâs AWS Cloud and is completely decentralized. Not only is it budget-friendly, but has horizontal scaling too. This database is designed to run complex apps on a wide scale.
Features:
Advantages:
Disadvantages:
Who uses AWS DynamoDB?
There are varied restrictions faced by developers during the database selection phase. This guide has highlighted all the pivotal React Native local databases for creating smart apps.
Before plunging into the pool of selecting the React Native app databases, it’s advisable to swim through their features, pros, and cons.
Hope, this guide helps you in deciding the ideal React Native database local for your application and in smoothening your app journey.
Automating traditional data management is the most sought-after technology in todayâs retail industry. The demand for data automation is due to the cause of personalized customer expectations and seamless business operation between online channels and bricks & mortar stores. Retail industries experience quite a huge number of competition when compared to other sectors, yes it has to adapt to digital technology where customer-focused personalization is the key here.
Customer recommendation-based purchase is a significant upgrade imposed across the retail industry in order to improve customer experience and personalize the shopping experience.
The Power of Big Data Analytics in the Real-world Retail Market
Retail Data Analytics is one of the futuristic technology approaches that helps retailers to optimize supply chain management, customer loyalty, pricing, and overall recommendations. The data derived from the users are managed in a large volume which is later used to derive patterns, trends, and strategies to target the audience.
The emergence of Big Data Analytics in the retail chain can improve the overall operating margin by around 60%, according to Mckinsey.
The adoption of Big Data by several retailers has strengthened the competitiveness in the market and also triggered the businesses to innovate better ways to reach customers. The data-driven strategy understands the customersâ needs and provides recommendations ensuring utmost customer satisfaction.
Top Use Cases Retail Industry Can explore with Adoption of Big Data Analytics
Personalization of Customer Experience
The success of any industry or business is solely dependent on how far you maintain your customers’ satisfaction with your product or services. The implementation of Big Data Analytics Solutions helps retail businesses to predict customersâ demands and empower them to make customer-centric decisions to personalize marketing based on consumer data derived from applications.
Predicting the Customersâ Demands
Understanding customersâ demand is the key business strategy for the industry to propel in terms of revenue and growth. So in order to survive in this evolving technology, retailers have to move a step ahead in the market to understand the need of their customers using their data.
âDelivering an ideal and good shopping experience improves customer satisfaction, customer loyalty, revenue, repeat customers, and overall customer engagement,â says a Big Data Analytics expert from Accenture.
Empowers the Operational Effectiveness of the Retailers
With Big data analytics at the high point, the retail industry can coordinate the inventory department and the production unit for the highest profit and efficiency. Big data helps the entire department to utilize data, resources, and assets in the most appropriate way to improve service, budgets, and quality of the service.
By optimizing the data collected from the energy grid infrastructure, plant machinery, equipment, and servers, retailers can authorize data-driven decisions in order to increase the efficiency of these assets.
Strategize Customer Journey through Analytics
Big data acts as a Cardiac machine in the retail business that helps monitor the behaviour and activities of customers in order to improve the customer experience (buying experience). The customer buying journey has several stages where starting with research, planning, analysis, demo, purchase, service, and checkout. Creating a top-notch buying journey is possible with help of big data analytics.
Diverse Set of Applications for Retail Industry Using Big Data Analytics
Earlier in 2018, the growth of Big Data Analytics in the retail industry was valued at around USD 3496.4M and is expected to reach four times CAGR growth around USD $13,299M.
Top Business values Retailers can Yield with the Adoption of Big Data Analytics Into your Operations
A Big Example of How a Retail Industry (Bigbasket) has Transformed its Customers Base From 0 to 4 Million Using Big Data Analytics
One of the largest retail companies Basket started to utilize the power of Big Data Analytics in their retail operation five years ago and they established a feature called âSmart Basketâ. The responsibility of the feature is to analyze the customer needs precisely and minimize the order rate below 3-4 mins. Earlier the overall order time was between 20-25 mins.
The objective of the feature is to scale the customer base and retention rate through data mining that indicates their behaviour, order value rate, etc. The âSmart Basketâ feature analyzes customersâ buying patterns, shopping behaviour, previous purchases, preferences, and overall responses to the deals and discounts.
Big Data Analytics Solutions in Retail helps to improve the average customer bill value and retention rate with recommendations irrespective of products or items.
The Impact for Retail in High with Big Data Analytics, If Utilized Precisely!
The dominance of Big Data Analytics is everywhere. Almost everything that comprises online data can be analyzed. If the technology is not exploited properly, the retailer would stand to fall behind in comparison with the competition. On the other side, Big data analytics has endless potential and can deliver unlimited business value to your retail business.
Thank you to our guest author Madhu Kesavan! He is the founder & CEO of W2S Solutions, a globally recognized digital transformation company empowering enterprises and governments in their digital journey. With 20+ years in the IT market, he makes his vision for a sustainable future come true by leveraging technology.
What else to read?
The Internet is a technology that has drastically changed the life of global society many years ago. In 2021, the worldwide number of this network’s users had surmounted 4.6 billion in comparison with the 2010 insights that were equal to 2 billion. The modern Internet has turned into an excellent tool to attract a broader audience with web development for businesses in a wide variety of market sectors.
The significance of tech instruments for website architecture is a predetermining factor for the product’s quality and success. Therefore, the selection of the solution stack is a pretty complex and multifaceted problem that should be resolved prior to the start of project fulfillment.
This article will cover how to pick the appropriate tech stack for your specific case and not to fail, tips for applying, and list the best solutions to use for brilliant web architecture.
Let’s understand what is the web creation tech stack before proceeding to the process of its choosing.
A solution stack is a set of technological instruments like programming languages, frameworks, and the other solutions used to build any type of digital product. They are split into two main groups. The frontend is the website’s side that is aimed at interacting with users. And the backend “behind the scene part” is the server scripting intended to make the product operate correctly.
The part for the users determines its design, elements’ layout, and overall appearance. All the sections, parts, buttons, and other interactive components are architected with the frontend solution stack.
Modern technologies offer a range of solutions providing enhanced scalability, and adaptiveness, substantially speeding up the web creation process.
The list of such beneficial tools for the frontend development comprises the following constituents:
Apart from this, the aforementioned tools offer a row of frameworks and libraries that can considerably extend your opportunities in web creation.
Here are the two more additional solutions that can enhance the development flow:
The part for creating the website’s business logic and making the product interact with the audience correctly also requires applying a specific list of solutions. To illustrate, you enter the data into a certain web section and click “enter.” In this process, you are working with the frontend part while the backend code server is the one that makes it perform and process your queries.
This website part comprises components like the application, server, and database. This is where the solution is launched, maintained, and supported.
Below you can find the row of backend components comprising the web solution architecture :
In case you need some tech competence in a specific tech tool implementation, you may put staff or outsource web development to expand the capabilities and functionality of your product.
It’s time to discuss some tips on choosing a proper web tech stack suitable for your project. We hope that the following suggestions will help you to come up with the most relevant set of tools to meet your requirements.
The current hard skills of your development team should be primarily considered. Needless to say that it doesn’t mean that you should limit your opportunities with the actual knowledge and avoid enhancing your qualification. Yet, the solid tech set in which your team of software engineers has sufficient experience can help rapidly complete the web development process.
The customer safe data processing is the issue that worries the audience mostly. Consequently, the potent protection system will prevent a diversity of hacking activities. In case your website is intended to operate sensitive client data, safety should be prioritized. This will higher the trustworthiness of the solution in the eyes of the users.
Creating the buyer persona (a precise description of a client that represents an ideal profile of your target audience) can substantially ease the process of picking suitable solutions. By doing this, it will be simpler to come up with the functionality to implement. The required features will serve as a perfect base for the tech stack to apply. Besides, your business goals should also be taken into account. What are the objectives of your project, and what is the company’s domain? Thinking over these aspects can simplify the selection process as well.
The workload of your website will grow in parallel with the business expansion. Thus, this aspect should be thought out ahead. What’s more, scalability will help you to keep up with the dynamic requirements concerning the functionality of the website’s operation. JavaScript is a tech instrument providing this benefit, so in case it meets your business goals, you may select this programming language and its additional libraries and frameworks.
The latest market trends and changing user requirements can’t be ignored. Nevertheless, it doesn’t use every trendy solution. But solid, innovative instruments are definitely worth your attention. It refers to those that are applied to create well-known successful platforms and websites. The implementation of the trends in your website will increase the credibility of your company and enhance the user satisfaction rate.
You should define the abilities as well as the level of both hard and soft skills of your team. In case your website idea requires some competence your employees miss, you may apply the outsourcing or outstaffing services mentioned before. Possessing sufficient expertise will prevent you from stopping the web development flow due to the lack of knowledge in how to implement specific features.
The modern market regularly offers new tech solutions, but there’s no need to try to use them all at once. In case your team applies solid and time-tested tools, you should proceed from this aspect and come up with the appropriate functionality list.
Despite the fact that tech stack picking is a pretty challenging process, you can complete it quickly and easily by cooperating with web architecture professionals. They will choose the best set of digital tools to apply based on your project concept and requirements, making the final result flawless.
There are almost 26.4 million software developers in the world. Their demand is increasing dramatically due to the rapid digitalization and dependency on digital channels for doing businesses.
Due to the immense pressure and demand of the software, developers become more dependent upon tools to complete software development adequately.
(more…)
How can you make correct decisions involving data? This is a question you might be asking yourself every day. You no longer have to worry about this because data lineage is the answer. It enables individuals to visualize, record, and analyze data.
For data lineage to be successful, it is vital to ensure that you use suitable techniques. You should also be aware of the source of this data. This process is achievable today due to modern technological advancements.
Several details will help you to understand data lineage in 2022.
Data traceability can take business ventures countless hours. In criteria where traceability is wrong, the business will suffer dire consequences. These consequences include penalties and fines. Traceability is crucial as it allows businesses to adhere to regulations.
Courtesy of data lineage, organizations can track data flow from various sources. Lineage tracks data as it flows via different systems as well. Therefore, it is easier for businesses to conduct risk management with data lineage.
Data lineage in businesses allows a better comprehension of data. It highlights various aspects of data, including the source and destination of the data. Also, it shows various systems that data passes through before reaching its destination.
Data lineage shows how the data is built and the transformations it has gone through over time. This information is crucial as it gives business insights into various aspects. Therefore, the business can determine if its data is trustworthy and accurate. Data lineage allows business ventures to make well-informed data decisions involving data.
The IT department in businesses can conduct data analysis using data lineage. Through this analysis, the business can identify any change in downstream systems. These changes usually arise when there is a change in data.
Failure to identify these changes causes the enterprise to face tremendous losses. Data lineage is instrumental because it saves the IT team time by eliminating manual analysis.
If you want to run your business successfully, you must have reliable data. All businesses, including sales, management, and manufacturing, rely on data. The information a business collects during research improves organizational systems.
Improving organization systems enables the business to provide top-notch services and products. Data lineage provides detailed information that the business needs to understand data validity.
Lineage by Parsing is an advanced form of data lineage techniques. This technique relies on using logic to read processed data. With this technique, you can reverse engineer data transformation logic.
It enables the achievement of end-to-end tracing. The technique is complex because it uses all tools and programming languages, allowing for the movement and transformation of data.
The technique is ideal because it eliminates the use of code in data transformation. It evaluates metadata for business reports, columns, and tables. Pattern-based lineage uses metadata to investigate lineage through identifying patterns.
For instance, this technique links two data sets with similar data values and names in a data lineage chart.
The pattern-based technique is preferable because it uses agnostic technology – this means that it monitors data only. Also, you can use this pattern in various database technologies such as Spark, MySQL, and Oracle. In situations where data processing logic is unclear, this technique might be inaccurate.
Data tagging involves tracking tags from start to finish. It would be best to have a dependable transformation tool that manages data movement for this method to work. The downside of this technique is that it is impossible to conduct a lineage of data that has not been generated by this tool. That is why lineage by data tagging is only applicable in closed data systems.
Self-contained lineage is instrumental in organizations because it provides master data management. It provides processing logic and storage as well. Further, it stores data through every step. This technique is unique because it can provide data lineage without external tools. The downside of self-contained lineage is that it can only work within this environment.
For the success of an enterprise today, accurate data-driven decisions are crucial. Nowadays, you can understand data using data lineage because of modern technology. There are several data lineage techniques that business ventures should consider.
Before initiating a new web project, selecting the proper web app architecture is critical for a projectâs tech success. Your choice will determine how its elements and functionality will interact and the further logic of creating the application.Â
In this post, Iâll explain what stands behind web application architecture, its working principles, the technologies required, and what types are there.
Web application architecture stands for a network of multiple components such as user interfaces, transaction processing, databases, and others. The main objective is to ensure that all interconnected elements operate correctly. All these components represent web application software structure.
But how do these elements work, and what are their functions? Letâs cover their synergy naming all the specificities of this process.
Web application architecture defines the networking between applications, middleware systems, and databases so that several apps perform in tandem. For example, when a user types a website URL into a browser and hints âenterâ, the server obtains a request from the browser. The server processes the input data and shows the needed web page. Most high-performance platforms with a modern website application structure carry out this process almost instantly, as no user wants to experience a time-intensive page loading. It’s worth mentioning that the script scrutinized by the browser may or may not have specific directions for the browser on how to react to a wide array of inputs. Hence, website app architecture entails utter sub-elements and external interchanges for the complete solution.
As for the working principles, system architecture for a web application comprises two parts operating simultaneously: client-side (frontend) and server-side (backend):
For instance, when entering your credentials to register on a platform, you interact with the user-side. The backend is processing your data before access is provided. These two sides represent a web application architecture.
The web app development flow determines the tasks the script performs according to the actions required to be made by the code.Â
Now, letâs look at the typical layers of website application architecture.
Presentation layer
PL shows the user interface and makes user interaction more straightforward. It contains UI components that handle and display information for users. There are also user process elements that set up user interactions. PL gives all the needed data to the front end. Its objective is to receive input data, process usersâ queries, transfer them to data service, and display the results.
Business logic layer
This layer is in charge of correct data exchange. BLL identifies the logic for business processes and rules. Logging in the platform is a sample of a business logic layer. Business logic layer is also called Domain Logic or Application Layer, which fulfills the processing of clientsâ requests from the browser and points the ways of access to this information.
Data service layer
DSL transfers data operated by the Business logic layer to the Presentation layer. By sending the information processes by BLL to the Presentation layer, DSL defends the data of application web architecture by separating business logic from the user-side.
Data access layer
DAL facilitates access to data saved in persistent storages (e.g., binary XML file, etc.). This layer also processes CRUD operations: create, read, update, delete. It is also called the persistence layer or storage, merged with the business layer. This way, the logic understands which database to apply to and streamlines the information received.
Now, letâs briefly discuss the best solutions for web app structure designing.
Web application architecture is composed of application components, middleware systems, and databases. In turn, app components divide into UI/UX components and structural ones. UI/UX web app structure components comprise dashboards, statistical data, layouts, notification elements, etc. These components are responsible for the external web page look and establish the base for customersâ interaction. Structural components relate to web app server architecture and the database server.
Here are the top three technologies for web app architecture development:
Java
Java takes first place among the most popular technologies for building architecture for web apps. Its web app structure design offers a wealth of Java-based instruments. Therefore, this language can be applied to any scale app architecture since it allows for building a reliable and flexible structure for the long-term run.
Python
Python is another widely used technology for web app architecture designing. Its script is made for server-side scripting. This tool is a good option for web developers who have recently started scripting with Python or are developing web apps architecture for the first time. Besides, Python provides various instruments for ongoing web application architecture support. Thanks to its motion nature and shortcodes, this tool is applicable for making prototypes. Furthermore, several Python frameworks can be employed for designing web app structures from scratch or merging different programming languages in one project.
Node.js
Node.js is a technology solution offering to create web app software architecture that relies on model-view patterns, entailing MVC (model-view-controller), MVVM (model-view-view-model), and MVP (model-view-presenter). The capabilities of its advanced web app architecture patterns comprise script elements defining, configuration, and direction. In addition, Node.js employs an entity-relationship model of web project architecture diagram for data and script forming, breaking logic by modules, and deriving valuable insight from logs to guarantee the correctness of web app architecture development.
Web app architecture types vary depending on app logic distribution ways among the user-side and server-side. Letâs discuss the details of each type.
Single-page apps imply a website platform that displays all the required data when a user opens the page. The core advantage of SPAs is that no web pages are reloading. Traditionally, single-page solutions are built under Java web app architecture design. Besides, many of its frameworks (e.g., Angular, React) are helpful for creating web app architecture of this type. The most prominent examples of SPAs are Slack, Facebook, and Gmail.
Multi-page apps work great for large-scale website solutions like Amazon. MPAs solutions reload a web page to load or transfer data from/to a server via the clientsâ browsers. eBay and Amazon are the most significant examples of MPAs.
This type of architecture makes programmers utilize a cloud web application infrastructure from 3rd party providers like Amazon and Microsoft. To maintain web app network architecture on the Internet, programmers should direct server infrastructure, an operating system, and other server-related hosting operations. For instance, Amazon and Microsoft provide virtual servers that dynamically handle the distribution of machine reserves. This way, your web app will be able to cope with massive traffic spikes without performance failure.
Microservices architecture allows software engineers to design a web application from a group of small services (unlike the monolithic option, which implies rewriting the whole code in case of one component change). Then, programmers can create and deploy each element separately. For example, a microservice approach is widely used in social networking website development since such platforms contain multiple elements developers should interact with. Netflix, PayPal, and Spotify illustrate the microservices architecture logic.
An isomorphic type is an innovative approach to designing web application architecture. It stands for a JavaScript solution that can be employed both to the front and backend sides. First, the client loads an HTML, where the JavaScript app is transferred to the browser; then, the process is similar to the SPA logic.
The qualitative website application architecture will let you scale, modify, test, and debug your future web project along with efficient development process management.
Thank you to our guest author Yuliya Melnik! She is a technical writer at Cleveroad, a web and mobile app development company in Ukraine. She is passionate about innovative technologies that make the world a better place and loves creating content that evokes vivid emotions.
What else to read?