14 Ways to Improve Your Data Visualization and Presentation Skills
Everyone debates about the benefits of “big data,” understood as the process of collecting massive amounts of data and its instant examination to find “hidden” …
How to Get the Right Combination of Data Management Platform (DMP)?
A leader has several responsibilities in an organization, mainly when the organization deals with a lot of data daily. The connection between data and business …
7 Stages/Phases of the Software Development Life Cycle (SDLC)
SDLC is a process used to develop software. The life cycle follows the development of the software from the planning stages to operation and maintenance. …
Top 10 Best Selling Books in Database & Big Data Technology
Are you searching for Books in Database & Big Data Technology? Looking to purchase a new one for you? Or planning to gift your loved …
Emerging Programming Languages to Watch Out For in 2019-2020
In the modern day, there are many emerging programming languages that serve different purposes. Some are used for web development, others work for native mobile …
Graph Database – The Future of Database Technologies
The graph database (wiki) is now a buzzword, as the technology is growing fast and businesses can’t afford to ignore this as due to the …
5 Brilliant Free Apps That Will Help You Learn How to Code
From vending machines, to credit cards and ATMs, all the way to complex machine learning algorithms that process big data in order to improve customer …
Is Laravel a Perfect Framework for Business Web App Development?
Do you want to implement an effective business web application development? In today’s challenging business scenario, every CEO has a need for an online presence …
The Pros & Cons of Elixir Programming Language
Evolution and research of programming languages are continuous! From the development of first high-level programming language in 1942 to development of open source languages, different …
Why Data Scientists Prefer Python Programming Language for Machine Learning?
When it comes to machine learning applications, operational and training phases for algorithms are quite different. Most of the companies prefer different languages for different …
