Managing And Analyzing Big Data - 2729 Words

Managing and analyzing big data is a huge task for all organizations of all sizes and across all industries. If a business’s plan to implement a data management tools there is a need for a more realistic way of capturing information about their customers, products, and services. Mining data is often in the terabytes and organizations need to be able to quickly analyze that data and then pull appropriate information needed to make managerial decisions. Further, with the insurgence of social media, smart devices and click-stream, data is generated daily on global networks through interactions. The use of data management technologies allow a company to interface unstructured data and structured data to gleam information that is usable for business managers to make sound business decisions, improve sales and to decrease operating costs. Big data integration and analysis has evolved for organizations to store, manage, and manipulate vast amounts of data then provide the appro priate information when it’s needed to meet business objectives. Big data is an element that allows companies to leverage high volume data effectively and not in isolation. Big data needs to be quickly accessible and have the ability to be analyzed. Data stores or warehouses are one way data is managed that is persistent, protected and available as long as the data is needed. The forefather to data stores is relational data bases, relational data bases put in place decades ago are still in use todayShow MoreRelatedCan We Trust Big Data Essay1440 Words   |  6 PagesCan We Trust Big Data? Tanvir Singh 500826428 1. Big data lets many companies analyze data about their customers, if it is used efficiently. Spotify for example, uses its data to give the customer a better listening experience. By using their big data, they can pick up on preferences and tastes of the customers who are using the service. In order to create a better experience for the consumer â€Å"Spotify uses the big data it collects on user listening habits to design highly individualized products†Read MorePerformance Of Data Processing Together On Relational Databases And Hadoop Frameworks1473 Words   |  6 Pageswe will be analyzing the performance of data processing individually on relational databases and Hadoop framework by taking a collection of sample datasets. After evaluating the performance of each system, we will be working on a new method of data processing by combinedly using both the computational powers of RDBMS and Hadoop frameworks. We will be using same experimental setup and configurations for anal yzing data. 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WatsonRead MoreBenefits Of Using Predictive Analytics Software1098 Words   |  5 Pages†¢ Enhanced use of freely available data. †¢ Building new products and services supplemented with Big Data analytics and privacy by design, developing products adapted to European privacy standards . The power and opportunity of big data applications used well, big data analysis can improve economic productivity, drive improved consumer and government services, prevent terrorists, and save lives. Examples include: †¢ Big data and the rising â€Å"Internet of Things† have made it possible to merge the manufacturing