In recent years, Big Data was defined by the “3Vs” but now there is “5Vs” of Big Data which are also termed as the characteristics of Big Data as follows: 1. Volume: The name ‘Big Data’ itself is related to a size which is enormous.Volume is a huge amount of data.To determine the value of … Continue reading 5 V’s of Big Data →

Small Data: It can be defined as small datasets that are capable of impacting decisions in the present. Anything that is currently ongoing and whose data can be accumulated in an Excel file. Small Data is also helpful in making decisions, but does not aim to impact the business to a great extent, rather for … Continue reading Difference Between Small Data and Big Data →

Summary: Azure Databricks is a fast, secure, and collaborative Apache Spark-based platform that allows data scientists, data engineers, and data analysts to collaborate efficiently and work effectively through a single interface. Here are the reasons that make Databricks an ideal solution for managing data science and big data workloads. Azure Databricks, the Cloud-based environment built … Continue reading Why You Must Choose Databricks for Data Science & Big Data Workloads? →

Although the year 2020 could be touted as the year of COVID-19, it was also a good year for big data. It was the year that showed businesses how big data could benefit them in the areas of data analytics and business application development. The data-driven era is now, and the technology has matured so … Continue reading Take Control of Data With a Digital Integration Hub →

Higher education of the future may not be planned or directed by the government. Though not all, many will comprise a variety of national and international private, autonomous, independent, for-profit, or not-for-profit institutions having their specific missions. The government would ensure students that they have the greatest number of educational opportunities of all types. Moreover, … Continue reading University Funding for Data Science Talents: An Overview →