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Software Developer VS Software Engineer

by BusinessDigitalTechnology

Many times people get confused between Software Engineer and Software Developer, maybe because of similar occupation names. However, they are different, their work is different, and their professionalism is different. The difference is like between Security Guard and Bodyguard, both are called security but their work is different. Let us understand the difference between them:

·        Who is a Software Engineer?

A person who applies the philosophy of software engineering to develop, maintain, design, test, and evaluate computer software is known as a Software Engineer.

·        Who is a Software Developer?

A person who builds software with writing code from scratch, which runs across various types of computer is known as a Software Developer. The application could be Desktop app, Mobile app, and Web app.

·        What are the few challenges faced by a Software Engineer and Software Developer?

Software Engineer:

Ø  More increasing demand in the market.

Ø  Dealing with complexity of software always demands new applications.

Ø  Assortment of software systems should be communication with each other.

Software Developer:

Ø  Misinterpreted user requirements.

Ø  Not able to deal with changing requirements.

Ø  Low quality of software.

·  Differentiating Developers and Engineers:

Engineers are team-oriented building tools for software which later are built as applications, whereas Developers are the ones writing the entire program codes on their own. Developers use software tools made by engineers.

·   The world depends on Software’s in today’s era. Both, Software Engineer and Software Developer are important in their particular field. If one cannot build tools to create software, then others cannot write codes to develop applications. We @Cloudploys build applications as per your needs and desires. We @Cloudploys provide best applications built by talented, skilled, and experienced developers. We @Cloudploys are motivated by the desire to achieve. Stay tuned for more information.

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Data Analytics – Understand the world around you through “Data”

by BusinessDigitalTechnology

I think from the title, you might have the idea about what we are going to read about. Exactly, we are going to read about Data Analytics. 

What is Data Analytics? It is the process of gathering all the raw data and analyzing it to determine the pattern and making decisions. However, knowing just this is not enough to understand the whole concept. So, let us dive into the entire concept of Data Analytics.

Concept of Data Analytics: Data Analytics is a wide term as any type of information can be used in Data Analytics, it helps determine the taste and trends of the market. Analyzed information can be used to help make better decisions and growth of business. 

For example: 

  1. Manufacturing Company gathers machine run time and down time. Through that information, they can analyze and determine the hours of workload so the machine works at its full capacity.
  2. Marketing companies use Data Analytic to figure out the demand, supply, taste, trends, and season of the market and then help accordingly to introduce products and services in the market.
  3. Gaming companies use data analytics to determine the need to make changes in game. Such as, to reward schedules for players who play for a particular time which keeps them active in the game.

How to Analyze Data? What is the process?

  1. Determine the data requirement according to the group, such as, by age, by education, by experience, etc.
  2. Collect data through different sources such as, online, agency, existing surveys, or personnel questionnaires.
  3. After collecting data, organize it accurately to analyze it.
  4. Then clean up before data analytics. This process helps ensure there is no error or duplicate data. After cleaning up, it is then used to analyze Data.

 Types of Data Analytics:

  1. Descriptive Analytics: This type, describes the data in the particular period and helps compare it to the past. For e.g. – Comparison of sales between last month and present month.
  2. Diagnostic Analytics: This type focuses on why something occurred. For e.g. – Did the winter season affect ice cream sales?
  3. Predictive Analytics: This type focuses on determining what will likely happen in future. For e.g. – How will an IPL match affect the environment of Covid lockdown?
  4. Prescriptive Analytics: This type suggests a course of action. For e.g. – this summer we should take this action and sales will increase by 15%.

What are the benefits of Data Analytics:

  1. Optimize and improve business performance.
  2. Helps reduce cost.
  3. Helps make better decisions.
  4. Helps analyze trends, taste, and demand of the market.

 Who uses Data Analytics?

Several sectors have adopted Data Analytics. But to name a few, almost every travel, marketing, accommodation, and almost every service industry uses Data Analytics. Manufacturing industries also use Data Analytics to grow business. Health care industries use it to determine the number of patients and revenue of the particular financial year to compare with previous years.

 We @Cloudploys provide accurate information for you to understand the concept. We @Cloudploys provide service of Data Analytics. Data Analytics is crucial for every business and helps grow and reduce cost. Now, it is on you to decide whether to acquire such effective technique or not. Stay tuned for more!

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Deep Dive into Java and Python

by BusinessDigitalTechnology

What is Java? A multi-platform and object oriented programming language. It is the most used programming language. Sun Microsoft released it in 1995, which was later acquired by the Oracle Corporation.

What is Python? A high-level object oriented programming language. It is preferred for rapid application development. It is one of the fastest programming languages, as it requires only two lines of code.

What are the benefits of using Java?

What are the benefits of using Python?

  • Brief documentation is available
  • Highly skilled and major number of developers available
  • Allow users to create standard programs and reusable code
  • It allows users to perform multiple tasks at the same time in a program
  • Easy to navigate
  • Clean syntax as compared to Java, C++, HTML, etc.
  • Very useful in data analysis
  • It is easy to maintain, as its code is easy to write
  • Comes with a prebuilt library, which makes user development easy
  • Offers database interface to all commercial DBMS systems

 

What are the disadvantages of Java?

What are the disadvantages of Python?

  • The JIT compiler makes the program slow
  •  It has high memory and processing requirements, which increases hardware cost
  •  It does not provide support for low-level programs
  • No control over garbage collection
  • Used in less platforms compared to Java
  • Python is weak in mobile computing and therefore, no use in app development
  • It is dynamic, more errors show up at run time
  • Absence of commercial support

 

But now the question is which is better – Java or Python?

It really depends on the user’s purpose, what type of app development they are looking for. Those who want to develop an application in less time and not involve mobile computing can use Python. Whereas, those who want to develop applications where multiple users could perform tasks should prefer Java. 

Python is for the beginners due to its simplicity, easy syntax, and inbuilt library for code. On the other hand, Java is much more complicated due to its specific goal of allowing developers to write once and run anywhere.

At last, everything comes down to the cost and nature of development. The decision depends on the budget, purpose and scale & scope of development. 

We @Cloudploys provide you accurate information that helps you in determining your final choice. However, it is difficult to learn programming overnight but it is crucial to know where to start and what results to get. Stay tuned with us to learn about tech and grow your business digitally!