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Xebia training offers Big data analytics Training Courses in Chennai, Pune, Delhi and Bangalore, Big data analytics training provides the practice of examining the raw data to draw conclusions and identify patterns.<br>
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Training Training Done Right Big Data Analytics Training
Big Data • A term applied to data sets whose size or type is beyond the ability of traditional relational databases to capture, manage, and process the data with low-latency. • Following are the characteristics: • High volume • High velocity • High variety • Big data comes from sensors, devices, video/audio, networks, log files, transactional applications, web, and social media • Much of it generated in real time and in a very large scale. http://training.xebia.in/big-data/
Professional Development is a Continuous Learning Process • ClouderaData Analyst • ClouderaData Scientist • ClouderaTraining for Apache Hbase • ClouderaDeveloper for Apache Spark • ClouderaDeveloper for Apache Hadoop • Developer Training for Spark and Hadoop • ClouderaAdministrator Training for Apache Hadoop http://training.xebia.in/big-data/cloudera-data-analyst-training
Big Data Analytics • It is the use of advanced analytic techniques against very large, diverse data sets. • It allows analysts, researchers, and business users to make better and faster decisions using data that was previously inaccessible or unusable. • Using advanced analytics tools like: • Predictive analytics • Data mining • Statistics • Natural language processing • Businesses can analyze previously untapped data sources independent or together with their existing enterprise data to gain new insights resulting faster decisions.
Big Data Analytics • It is the use of advanced analytic techniques against very large, diverse data sets. • It allows analysts, researchers, and business users to make better and faster decisions using data that was previously inaccessible or unusable. • Using advanced analytics tools like: • Predictive analytics • Data mining • Statistics • Natural language processing • Businesses can analyze previously untapped data sources independent or together with their existing enterprise data to gain new insights resulting faster decisions.
Organizational Use of Big Data • To process and analyze a vast array of information in new ways. • To compete in a globally-integrated economy. • Many organizations consider information to be their most valuable and differentiated asset. • To improve decision-making and performance throughout the enterprise. • To utilize new data, technology and analysis techniques that exist in almost every industry.
Big Analytics Appliance • Big Analytics Appliance will make your big data problems manageable. • This Appliance helps executives, business managers, IT managers and analysts leverage breakthrough business insights to: • Take better business decisions resulting in better business results. • Optimize & innovate across business processes with data driven decisions. • Minimize risk, maximize ROI and accelerate time to value with enterprise ready big data solutions.
Enterprise Data Warehouse • A service offered by the Data Services Department of the Information Services and Technology Division. • Enterprise Data Warehouse consolidates data from multiple sources in support of campus wide decision making. • It is to provide information that is secure, accurate, timely, consistent, integrated, appropriately detailed, well-organized, and easy to obtain.
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