Big data Big data refers to the huge
Big data
• Big data refers to the huge collections of data that are difficult to process, analyze, and manage using conventional database tools • Big data is a relatively new phenomenon that businesses are just beginning to deal with • An example: • the 1 million transactions generated by Walmart sales registers every hour
• Big data is characterized as having: • High volume: size • High velocity: speed • Diversified variety: • Unknown veracity: accuracy • Low-density value • large volumes of data containing unimportant details
• Mainstream big data exploration produces commercial benefits • A high percentage of today’s expenditures on big data are • technologies that enhance the customer experience and provide targeted marketing solutions • Real-time analysis and decision making are popular reasons to invest in big data technologies
Applications of Big Data • Government • Threat prediction • Cybersecurity • Compliance and regulatory analysis • Retail • Shopper behavior analysis • Loyalty program management • Supply chain optimization
• Health care • Track infectious diseases • Genetic analysis • Design proactive care plans • Communications • Retain customers • Call record analysis • Infrastructure optimization
Hadoop: Big Insights from Unstructured “Big Data” • Hadoop is made up of half-dozen separate software pieces and requires the integration of these pieces to work. • Advantages: • Flexibility • Scalability • Cost effectiveness • Fault tolerance
Some Videos • https: //www. youtube. com/watch? v=9 s-v. Se. Wej 1 U • Video https: //www. youtube. com/watch? v=FHVu. Rx. Jpiw. I • Walmart’s big data • https: //www. dezyre. com/article/how-big-data-analysishelped-increase-walmarts-sales-turnover/109
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