Big Data Training in Pune

50 %
50 %
Information about Big Data Training in Pune

Published on April 19, 2018

Author: classb


Big Data: Big Data Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and strategic business moves . Big Data' describes data sets so large and complex they are impractical to manage with traditional software tools. Big Data refers to technologies and initiatives that involve data that is too diverse, fast-changing or massive for conventional technologies, skills and infra- structure to address efficiently. Mobile No. +91-7767904499 | E-mail :- | 3 vs of Big Data : 3 vs of Big Data Mobile No. +91-7767904499 | E-mail :- | Volume : Organizations collect data from a variety of sources, including business transactions, social media and information from sensor or machine-to-machine data. In the past, storing it would’ve been a problem – but new technologies (such as Hadoop ) have eased the burden . Velocity . Data streams in at an unprecedented speed and must be dealt with in a timely manner. RFID tags, sensors and smart metering are driving the need to deal with torrents of data in near-real time . Variety . Data comes in all types of formats – from structured, numeric data in traditional databases to unstructured text documents, email, video, audio, stock ticker data and financial transactions. Techniques of Big Data: Techniques of Big Data Association rule learning. Classification tree analysis. Genetic algorithms. Machine learning. Regression analysis. Sentiment analysis. Social network analysis. Mobile No. +91-7767904499 | E-mail :- | Tools of Big Data: Tools of Big Data Apache Hadoop . Apache Hadoop is a java based free software framework that can effectively store large amount of data in a cluster. ... Microsoft HDInsight . ... NoSQL . ... Hive. ... Sqoop . ... PolyBase . ... Big data in EXCEL. ... Presto. Mobile No. +91-7767904499 | E-mail :- | How Applications of Big Data Drive Industries: How Applications of Big Data Drive Industries Trying to decide whether there is true value in big data or not Evaluating the size of the market opportunity Developing new services and products that will utilize big data Already utilizing big data solutions Repositioning existing services and products to utilize big data Already utilizing big data solutions Mobile No. +91-7767904499 | E-mail :- | Benefits of Big Data: Benefits of Big Data Real-time big data isn’t just a process for storing petabytes or exabytes of data in a data warehouse, It’s about the ability to make better decisions and take meaningful actions at the right time. Fast forward to the present and technologies like Hadoop give you the scale and flexibility to store data before you know how you are going to process it . Technologies such as MapReduce,Hive and Impala enable you to run queries without changing the data structures underneath. Mobile No. +91-7767904499 | E-mail :- | Risks of Big Data: Risks of Big Data Will be so overwhelmed Need the right people and solve the right problems Costs escalate too fast Isn’t necessary to capture 100% Many sources of big data is privacy S elf-regulation Legal regulation Mobile No. +91-7767904499 | E-mail :- | If you want to know more about Big Data then Visit: If you want to know more about Big Data then Visit: Mobile No. +91-7767904499 | E-mail :- |

Add a comment

Related presentations