Using Google’s research on these technologies, software designer Doug Cutting and computer scientist Mike Cafarella developed Apache Hadoop in 2005, a software framework used to store and process big data sets for applications. In 2006, Amazon released Amazon Web Services (AWS), an on-demand ...
The big to do about "big data" William Osler, a founding father of modern medicine, emphasized the importance of a good patient history by saying, "Listen to your patient, he's telling you the diagnosis." This adage is as true today as it was in Dr. Osler's day, but w... PL ...
There is a very good blog series bymahesh.kumar8on Big Data, Hadoop and HANA. You can check ithere : After reading this blog series, I got basic overview of Big Data and Hadoop and decided to explore more on this topic. In this blog, I would like to share with you what I have l...
Big Data analytics:Big Dataanalytics uses advanced techniques – including data mining, predictive analytics, and machine learning – to analyze massive sets of structured and unstructured data in databases, data warehouses, and Hadoop systems. ...
Big Data analytics: Big Data analytics uses advanced techniques – including data mining, predictive analytics, and machine learning – to analyze massive sets of structured and unstructured data in databases, data warehouses, and Hadoop systems. Text mining: Text mining explores unstructured text data...
This exceedingly massive data makes the conventional data storage mechanisms inadequate within a tolerable time, and therefore the data storage is one of the major challenges in big data [3]. Note that storing all the data becomes more and more dispensable nowadays, and it is also not conducive...
Furthermore, data lakes built on Hadoop clusters or other big data platforms are increasingly being utilized as repositories or landing pads for BI and analytics data, mainly log files, sensor data, text, and other unstructured or semistructured data. ...