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Projects in Hadoop and Big Data - Learn by Building Apps
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Projects in Hadoop and Big Data - Learn by Building Apps

About this course

The most awaited Big Data course on the planet is here. The course covers all the major big data technologies within the Hadoop ecosystem and weave them together in real life projects. So while doing the course you not only learn the nuances of the hadoop and its associated technologies but see how they solve real world problems and how they are being used by companies worldwide. This course will help you take a quantum jump and will help you build Hadoop solutions that will solve real world problems. However we must warn you that this course is not for the faint hearted and will test your abilities and knowledge while help you build a cutting edge knowhow in the most happening technology space. The course focuses on the following topics Add Value to Existing Data - Learn how technologies such as Mapreduce applies to Clustering problems. The project focus on removing duplicate or equivalent values from a very large data set with Mapreduce. Hadoop Analytics and NoSQL - Parse a twitter stream with Python, extract keyword with apache pig and map to hdfs, pull from hdfs and push to mongodb with pig, visualise data with node js . Learn all this in this cool project. Kafka Streaming with Yarn and Zookeeper - Set up a twitter stream with Python, set up a Kafka stream with java code for producers and consumers, package and deploy java code with apache samza. Real-Time Stream Processing with Apache Kafka and Apache Storm - This project focus on twitter streaming but uses Kafka and apache storm and you will learn to use each of them effectively. Big Data Applications for the Healthcare Industry with Apache Sqoop and Apache Solr - Set up the relational schema for a Health Care Data dictionary used by the US Dept of Veterans Affairs, demonstrate underlying technology and conceptual framewo

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What you'll learn

  • Understand the Hadoop ecosystem and its technologies
  • Implement data processing using MapReduce
  • Set up and manage real-time data streams with Kafka and Storm
  • Extract and visualize data from various sources
  • Develop big data applications relevant to the healthcare sector

Course objectives

  • Apply big data technologies to solve real-world problems
  • Collaborate on projects that integrate various tools and frameworks
  • Prepare for roles that require knowledge in Hadoop and big data management
Data Analysis #python #data analytics #mapreduce #big data #data visualization #stream processing #data integration #mongodb #hadoop #kafka #real-time processing #healthcare data #apache sqoop #apache storm #apache solr #apache pig
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