Skip to main content

Overview: Important Aspects to Know about Software Suite

Software Suite is a collection of two or more programs/applications sold in one package. Often they share related interface, functionality and theme; if not then it is easy to exchange data among one another without hassles of formatting and interoperability. The simplest example is Microsoft Windows Office – as it keeps collection of Word, Excel, PowerPoint, and Outlook. They differ in functionality but come together and are vital for office productivity.

A software suite is known by other names as well, such as Productivity Suite, Application Suite, or Utility Suite.

Benefits of Software Suite

Applications falling under the purview of software suite are known for compatibility and integration. Though simple copy-and-paste activity is rather a simple-looking task, but doing it between different (non-integrated) applications or software causes problems in formatting and symbol acclimatization.

For example, importing data from Access database to Excel Spreadsheet can be achieved without hassles. Next, the Excel data can be forwarded into Word for emailing or PowerPoint presentation.
The same can be said about importing data and digital files, where one fears losing data and content in the process. Well under software suite applications, moving is simpler. They are designed in such a way.

The cost factor is always a matter of consideration while availing IT-related services. Applications under suite are always cheap as compared to buying applications one on one.

5 Popular Software Suits

There are many software/application suits available in the market. Some are free to use and many are subscription based. People buy or download as per the requirements, these suits range from personal to office use and so on. Let’s see some prevalent software suits:

1. Microsoft Office: it is offered by Microsoft in Windows operating systems. Once you install any Windows operating system on your computer, you get this, but we cannot say it is totally free. It consists of many important elements that are essential for office or basic day to day productivity. It consists of Word, Excel, PowerPoint and a few more items.

2. Google Docs: it is quite famous and we and you use it probably on daily basis. Here you can avail the services of Sheets, Docs, Slides, and Forms. It is a web-based facility and can be accessed by email id and it gets stored on cloud. It’s free.

3. Adobe Creative Cloud: a very useful for graphic designers and video makers and editors and publishers. Rather a great suit for visual things. It consists of Dreamweaver, InDesign, Photoshop, Illustrator, Acrobat Pro and some other useful supporting tools. It is a cloud based paid service.

4. Apache OpenOffice: this open source productive suite is available for free and can used by anyone. Its USP is that it supports many languages. You may use it for database application, formula editor, spreadsheet and writing in word and so on. As a matter of fact, it resembles Microsoft Office in functionalities and is considered a rival of it.

5. LibreOffice: it is an open source free service. Its products are designed to replace Microsoft Office, like it consists of Calc, Impress, Writer, Draw and Base. Unlike MS Office, it works fine with Linux and documents created on it can be used decades later as it does not release pesky updates anytime, like Microsoft.
Types of Software Suite:
  • Office Suite
  • Internet Suite
  • Graphics Suite
  • IDE


Popular posts from this blog

Why is Python becoming a Trend among Data Scientists?

Internet technology has set the world on fire. New revolutions are always around the corner. But did you ever notice that nowadays new revolutions are mostly based on technology and driven by data. It is data that is being generated everywhere via the internet. So what’s big deal about it? Well, the data we get from Internet is big data. Websites, social media, servers and so on...all contribute for data. It is data that is driving the demand-supply chain that serves the human race. Since we have been generating humongous amount of data every day, we have data scientists who drive value from it, so that humans can lead life of meaning and purpose and of convenient.

We now got hunch that Python has something to do with big data and work profile of data scientists. Now let’s get back to the point and seek answers as why data scientists are loving languages like Python and R over the traditional programming languages.
Let the pictures below speak for them, as a picture speaks a thousan…

What Topics in Python Should You learn for Data Analysis?

First off, understand there is difference between developing full-fledged software and doing data analysis using Python as a programming language. Clearly, here your aim is to do data analysis using Python, so learning Python becomes imperative for you. Right? Well, most of the people new to ‘big data’ and ‘data science’ go pell-mell, as they do not know where the correct essence of learning lies. They think that learning Python from A to Z will make them smarter, may be it can, but that's too much time consuming. As a new aspirant, you should be able to make out as what you should exactly learn for doing data analysis using Python.

In this post, we will go through the most-likely path which will make you self-confident in Python and subsequently in data analysis.

Step 1 - Basics:
Your learning process starts with rudimentary knowledge. Learning resources for general are different than selected learning. So, be it anything, you must learn the basics involved in Python. To learn…

What is Apache Cassandra?