Data, in today’s business and technology world, is indispensable. The Big Data technologies and initiatives are rising to analyze this data for gaining insights that can help in making strategic decisions. The concept evolved at the beginning of 21st century, and every technology giant is now making use of Big Data technologies. Big Data refers … Continue reading Why is Big Data Analytics So Important?
Month: July 2019
Big Data are high volume, high velocity, and high-variety information assets that need new forms of processing to allow enhanced decision making, process optimization, and insight discovery. Let's dig deeper and understand this in easier terms. History of Big Data The term ‘big data’ is self-explanatory − a combination of massive data sets that standard … Continue reading A Short History of Big Data
As we are growing with technology, security would undoubtedly strike our path. Taking a look at the points of interest clouds give, organizations are rapidly hustling up the stairs with no impressive security contemplation. As anticipated by Gartner, 99% of threats through 2020 that could increase will be from the IT Enterprises for only security … Continue reading 5 Big Data and Cloud Security concerns to watch out for in 2019
With the advancement in technology, we have witnessed a tremendous change in different sectors. This has come up as a huge evolving mode that is taking things on a new level. The financial sector is no exception to the use of technology with Automation, Big Data analytics, AI and ML . This comes handy when … Continue reading Role of Artificial Intelligence and Machine Learning in Financial Services
There exists huge volume of data that companies have developed over a period of time. From the day companies started recording their transnational data till today, the amount of available data has piled over and over. With the increase in usage of modern technologies like mobile phones, sensors, and social media this data has increased … Continue reading 7 Steps: How to Create a Successful Big Data Strategy?
Here is a comprehensive table, which shows the comparison between three most popular big data frameworks: Apache Flink, Apache Spark and Apache Hadoop. Apache Hadoop Apache Spark Apache Flink Year of Origin 2005 2009 2009 Place of Origin MapReduce (Google) Hadoop (Yahoo) University of California, Berkeley Technical University of Berlin Data Processing Engine Batch Batch … Continue reading Apache Flink – Flink vs Spark vs Hadoop
Big Data means a large chunk of raw data that is collected, stored and analyzed through various means which can be utilized by organizations to increase their efficiency and take better decisions. Big Data can be in both - structured and unstructured forms. Structured Data is more easily analyzed and organized into the database. Unstructured … Continue reading 5 Benefits: Competitive Advantages of Big Data in Business