Get yourself trained on Hands-on HADOOP Masterclass with this Online Training Hands-on HADOOP Masterclass – Tame the Big Data!.
Online Training Hands-on HADOOP Masterclass – Tame the Big Data!
Learn from well crafted study materials on Big Data, Hadoop, MapReduce, HDFS, HIVE, PIG, Mahout, NoSQL, Oozie, Flume, Storm, Avro, Spark, Sqoop, Cloudera, Data Analysis, Survey Analysis, Data Management, Sales Analysis, salary Analysis, Traffic Analysis, Loan Analysis, Log Data Analysis, Youtube Data Analysis, Sensor Data Analysis. Learn by doing. Learn from hands-on examples of analyzing big data. Turn your Crafting ability which can be a mixed bag ranging from developers to data scientists using procedural languages in the Hadoop space. Discover and learn the fundamentals of Hadoop. Be a person comfortable in managing the development and deployment of Hadoop applications.What is Big DataBig data is a collection of large datasets which cannot be processed using the traditional techniques. Big data uses various tools and techniques to collect and process the data. Big data deals with all types of data including structured, semi-structured and unstructured data. Big data is used in various fields data likeBlack box dataSocial media dataStock exchange dataPower Grid DataTransport DataSearch Engine DataBenefits of Big DataBig data has become very important and it is emerging as one of the crucial technologies in todays world. The benefits of big data are listed belowBig data can be used by the companies to know the effectiveness of their marketing campaigns, promotions and other advertising mediaBig data helps the companies to plan their productionUsing the information provided through Big data companies can deliver better and quick service to their customersBig data helps in better decision making in the companies which will increase the operational efficiencies and reduces the risk of the businessBig data handles huge volume of data in real time and thus enables data privacy and security to a great extentChallenges faced by Big DataThe major challenges of big data are as followsCurationStorageSearchingTransferAnalysisPresentationWhat is HadoopHadoop is an open source software framework which is used for storing data of any type. It also helps in running applications on group of hardware. Hadoop has huge processing power and it can handle more number of tasks. Open source software here means it is free to download and use. But there are also commercial versions of Hadoop which is becoming available in the market. There are four basic components of Hadoop Hadoop Common, Hadoop Distributed File System (HDFS), MapReduce and Yet Another Resource Negotiator (YARN).Benefits of Hadoop CourseHadoop is used by most of the organizations because of its ability to store and process huge amount of any type of data. The other benefits of Hadoop includesComputing PowerFlexibilityFault ToleranceLow CostScalabilityUses of HadoopHadoop is used by many of the organizations today because of its following usesLow cost storage and active data archiveStaging area for a data warehouse and analytics storeData lakeSandbox for discovery and analysisRecommendation Systems
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As a society, we spend hundreds of billions of dollars measuring the return on our financial assets. Yet, at the same time, we still haven’t found convincing ways of measuring the return on our investments in developing people.
And I get it: If my bank account pays me 1% a year, I can measure it to the penny. We’ve been collectively trained to expect neat and precise ROI calculations on everything, so when it’s applied to something as seemingly squishy as how effectively people are learning in the workplace, the natural inclination is to throw up our hands and say it can’t be done. But we need to figure this out. In a world where skills beat capital, the winners and losers of the next 30 years will be determined by their ability to attract and develop great talent.
Fortunately, corporate learning & development (L&D), like most business functions, is evolving quickly. We can embrace some level of ambiguity and have rigor when measuring the ROI of learning. It just might look a little different than an M.B.A. would expect to see in an Excel model.