Why Python for Big Data – Remote DBA Experts Explain

Featured article by Tom Clark, Database Expert

Python has evolved over the years to become one of the most loved open source language by programmers. Among the many reasons for this is its flexibility, ease in using and its massive library that provides for powerful data analysis and manipulation. Thanks to the simple syntax and easy compilation feature, Python has reduced the development time by 50%. The experience of using this language becomes even more familiar to those with experience in other programming languages like Visual Basic, Java, Matlab, or C++.

There has been a milestone achievement in quantitative domains and scientific computing where Python has been applied. Such domains include the sector of oil and gas, the financial sector and in physics. It is worth mentioning that it has been use in the improvement of the design of the Space Shuttle, processing of the images captured by the Hubble Space Telescope, and played a key role in the physics experiment preparation that led to the discovery of the Higgs Boson.

Furthermore, Python has been an important tool in the development of the highest-ranking web applications such as YouTube and has been used in the internal architecture of one of the largest search engines in the world – Google. In the film and movie producing industry, Python has still been the core programming language that has been used to coordinate the multiple number of computer graphics. Some of the great film producers that depend on Python for their film productions include Sony DreamWorks and Disney.

With the many advantages of Python as stated earlier, remote DBA experts insist that it will be of great importance to develop tools for Python to be effectively used in big data analytics. There has been an improvement in the engineering sector, computing, and science due to the application of Python. This is reason enough to believe that Python has the ability of analyzing and manipulating big data for businesses too.

It is true to say that, the modern quantity of data will transform every business sector. Only the few who will have the skills to effectively manipulate and analyze this data will be able to benefit and create massive opportunities. The question is therefore how you will be able to use this data to create meaningful business ideas and have an upper hand over the others. It is therefore time for data analytics to develop relevant tools for this purpose rather than remaining in the bondage of primitive and outdated data analysis tools.

What therefore are the main reasons to use Python for big data? Not only is it easy to learn and use for any data analyst but also very powerful to break down any difficult problems, that can be presented in big data, in any domain and find long-term solutions. These solutions can be easily applicable on any platform because it is platform independent and it integrates effectively with the currently existing IT infrastructure. Many companies of various sizes are using the many advantages of the Python programming language to analyze and manipulate their small, average, and big data.

Tom Clark is a database expert. He likes to share share his knowledge and ideas on interesting topics like big data, hadoop etc. He also has connections with remote dba experts.