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Month: November 2019
The cloud computing works in a consolidated manner, and the big data comes under the cloud computing. The crucial difference between cloud computing and big data is that cloud computing is used to handle the huge storage capacity, (big data) through extending the computing and storage resources. On the other side, big data is nothing … Continue reading Difference Between Cloud Computing and Big Data
Big Data and AI are two of the most popular and useful technologies today. Artificial intelligence is in existence from more than a decade, while Big Data came into existence just a few years ago. Computers can be used to store millions of records and data, but the power to analyze this data is provided … Continue reading How AI and Big Data Are Connected
Artificial intelligence (AI), machine learning (ML) and data mining have been hot topics in today’s industry news with many companies and universities striving to improve both our work and personal lives through the use of these technologies. We thought it would be wise to spend the next 3 weeks exploring the different terms we hear … Continue reading Artificial Intelligence vs. Machine Learning vs. Data Mining 101 – What’s the Big Difference?
Big Data Analytics and Machine Learning have moved way beyond the boundary of buzzword terminology and are now common terms in the technology industry. Business is all about competition and if organisations need to stay ahead of it, new technologies have to be adopted. This is the reason you will find companies welcoming technologies like … Continue reading Difference Between Big Data Analytics and Machine Learning
The term big data has created a lot of hype already in the business world. Hadoop and Spark are both big data frameworks; they provide some of the most popular tools used to carry out common big data-related tasks. In this article, we will cover the differences between Spark and Hadoop MapReduce. Introduction Spark: It … Continue reading Hadoop MapReduce vs. Apache Spark
Big data analytics and data mining are not the same. Both of them involve the use of large data sets, handling the collection of the data or reporting of the data which is mostly used by businesses. However, both big data analytics and data mining are both used for two different operations. Let’s look deeper … Continue reading Big Data Analytics Vs. Data Mining
How do you define big data? The seven V’s sum it up pretty well – Volume, Velocity, Variety, Variability, Veracity, Visualization, and Value. The “Big” in Big Data distinguishes data sets of such grand scale that traditional database systems are not up to the task of adequately processing the information. However, there is more to … Continue reading Understanding the 7 V’s of Big Data
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