Unravel the secrets of Big data
A prelude to big data can often be misinterpreted as only a collection of large data but it actually refers to the ease of access of large data that can be analyzed, captured, searched, shared, stored, transferred, visualized, queried, and updated instantaneously into results where one can base predictions or derive information and much more. Big Data does not use conventional data processing tools but uses special analytical tools like Hadoop so that all data can be analyzed at one go.
In today’s world, most of our office files, government documents, medical and financial transaction have been digitized and smartly pocketed into cloud servers which use a rapidly growing infrastructure to contain the vast volume of this continuous flux of data. The need to quantify and extract results instantaneously using advanced analytical techniques like analyzing user behavior to extract results that can be used to the benefits of advertisers, polls and much more: Compiling predictive analytics by analyzing volumes of data to determine the best course of action especially for organizations, and much more advanced data analytical methods, has become pivotal in our every day functioning.
“Data really powers everything that we do.” Jeff Weiner, chief executive of LinkedIn.
A prime example of the benefits of Big Data can be seen in the case of NetFlix. In 2008 Netflix faced a major crisis that led to an outage of their services due to a rising customer base. In order to rectify the crisis and prevent it from happening in the future, Netflix used Big Data Analytical tools to analyze high traffic areas, susceptible points, and network throughput etc. Using this data Netflix re-established their product value and worked on their downtime. Since then, Netflix has now gone global and continue to use Big data analytics to bring complete customer satisfaction to their millions of users.
Big organizations with a mountain of data are always on the hunt for Big data analyst or programmers. A career in Big data analytics can be lucrative and is the future of information technology. Big data analyst and programmers require proficiency in the following areas:
- Apache Hadoop
- Apache Spark
- Machine Learning and Data Mining
- Statistical and Quantitative Analysis
- Data Visualization
- General Purpose Programming Languages