Data science, data analytics and Big data are three terms that have been doing rounds in the technology world. These 3 have become important and knowing the right difference between them can be essential to choosing your career path. You could be a big data expert, a data analyst or a data scientist depending on […]
Big Data & Hadoop are often used interchangeably with each other. A lot of people including IT professionals fail to grasp the difference between the two. The popularity of Big Data and Hadoop today, have confounded this confusion. In reality, they act as complementary to each other and is incomparable. In this article, let us […]
Blockchain and Big Data are two emerging technologies that are disrupting many traditional industries. Though they have different applications and use cases, much has been talked about the impact of them on each other. In this article, I will explore how these technologies can benefit from each other. The Significance of Blockchain in Big Data […]
Hadoop, Cloud & Big Data are three terms that has been attracting much attention of late. Courses and certifications in these areas have also seen a surge. Let us first look into these terms individually and then understand how cloud computing is connected to these technologies A Brief Look Into Cloud Computing, Big Data & […]
Big Data is currently the buzzword in IT. It figures among every other compilation made today on top IT technologies. It is highly unlike that all of us understand Big Data beyond a generic comprehension of it as an IT jargon. Big Data sets are defined as large volumes of data; both structured and unstructured […]
With a rise in the adoption of modern technologies, the amount of data that is being generated has skyrocketed in recent times. The big data has gained a lot of prominence and is playing an important role in numerous sectors all over the world. Human Resources (HR) is one of the various sectors that are […]
How To Invest? Ideally, a stock analyst can help you in this endeavor by making objective recommendation to aid in your investment. However, recent studies suggest that most analysts rarely recommends ‘sell’ in sell research reports, pointing to the fact that subjective judgement rather than objective recommendation drives most of them. This can be due […]
Regardless of the type of business, Big Data is a term that keeps getting tossed around from every corner. So, what is Big Data and why is it relevant? It refers to the collection of large data sets that are growing exponentially with time. Today it is widely considered as the new age technology that […]
Did you know Big Data market revenues worldwide for software and services is estimated to see a steep rise from $42B in 2018 to 4103B in 2027 and thus attain 10.48% Compound Annual Growth Rate(CAGR). Today, organizations and businesses are making revolutionary advances by learning to combine huge volumes of data available at their fingertips […]
A subset of Big data, Dark Data refers to the data that is generally ignored and stored without any kind of indexing. This type of data gradually becomes invisible to the researchers and finally results in being lost. Dark data is usually unstructured data as they are collected by organizations unintentionally. They are neither used […]
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Water is essential, an asset of incalculable esteem, restricted, valuable and vital. On March 22 consistently, the world watches Water Day, where groups and countries alike meet up to influence grave promises to spare too and guarantee reasonable utilization of water. For India, one of the world’s most water focused on countries, and the day […]
There is absolutely no dispute about the potential value of big data. It made possible to combine large, and widely disparate sets of data in unprecedented ways that are cost effective and provides business value. Big Data is fundamentally transforming the IT data landscape with its emerging data management approaches and technologies, and analytic technologies that support the business. […]
Technology is revolutionizing the healthcare industry. The digitization and the information revolution has shifted the understanding and the way of treating a disease. However, one of the main limitations of medicine today is the understanding of the biology of disease. […]
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