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Big Data in Traffic Busting | Hadoop Tutorial | Edureka
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Big Data Hadoop Tutorial Videos | Edureka - Big Data in Traffic Busting | Hadoop Tutorial | Edureka

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This course includes

  • 102.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

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🔥Edureka Big Data Hadoop Certification Training: https://www.edureka.co/big-data-hadoop-training-certification This Edureka video on "Big Data in Traffic Busting" will provide you with detailed knowledge about how Big Data is busting traffic using Intelligent Traffic Contol Systems This video explains the following. What is Big Data? Problems faced by Traffic How is Big Data Solving it? Big Data Analytics Architecture Approaches in ITS Requirements in Big Data for Traffic Control Challenges faced in Traffic Systems Benefits of Intelligent Traffic Systems 🔹Check our complete Hadoop Blog Series: http://bit.ly/2wO8l0y 🔹Check our complete Hadoop playlist here: https://youtu.be/zez2Tv-bcXY ---------------------------------------------------------------------------------------------------------- 🔴To subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ SlideShare: https://www.slideshare.net/EdurekaIN Castbox: https://castbox.fm/networks/505?country=in Meetup: https://www.meetup.com/edureka/ Edureka Community: https://bit.ly/EdurekaCommunity #edureka #hadoopedureka #BigDatainTrafficBusting #bigdata #BigDataTraining ---------------------------------------------------------------------------------------------------------- About the Course: Edureka's Big Data Hadoop Training Course is curated by Hadoop industry experts, and it covers in-depth knowledge on Big Data and Hadoop Ecosystem tools such as HDFS, YARN, MapReduce, Hive, Pig, HBase, Spark, Oozie, Flume and Sqoop. Throughout this online instructor-led Hadoop Training, you will be working on real-life industry use cases in Retail, Social Media, Aviation, Tourism and Finance domain using Edureka's Cloud Lab. ---------------------------------------------------------------------------------------------------------- What are the objectives of our Big Data Hadoop Online Course? Big Data Hadoop Certification Training is designed by industry experts to make you a Certified Big Data Practitioner. The Big Data Hadoop course offers: In-depth knowledge of Big Data and Hadoop including HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator) & MapReduce Comprehensive knowledge of various tools that fall in Hadoop Ecosystem like Pig, Hive, Sqoop, Flume, Oozie, and HBase The capability to ingest data in HDFS using Sqoop & Flume, and analyze those large datasets stored in the HDFS The exposure to many real-world industry-based projects which will be executed in Edureka’s CloudLab Projects which are diverse in nature covering various data sets from multiple domains such as banking, telecommunication, social media, insurance, and e-commerce Rigorous involvement of a Hadoop expert throughout the Big Data Hadoop Training to learn industry standards and best practices ---------------------------------------------------------------------------------------------------------- How will Big Data and Hadoop Training help your career? The below predictions will help you in understanding the growth of Big Data: Hadoop Market is expected to reach $99.31B by 2022 at a CAGR of 42.1% -Forbes McKinsey predicts that by 2018 there will be a shortage of 1.5M data experts Average Salary of Big Data Hadoop Developers is $97k Organisations are showing interest in Big Data and are adopting Hadoop to store & analyse it. Hence, the demand for jobs in Big Data and Hadoop is also rising rapidly. If you are interested in pursuing a career in this field, now is the right time to get started with online Hadoop Training. ---------------------------------------------------------------------------------------------------------- For more information, please write back to us at [email protected] or call us at: IND: 9606058406 / US: 18338555775 (toll free)

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