Complete Hadoop Framework including kafka,spark and mongo db

Complete hands on learning on hadoop framework and its ecosystems including advanced concepts like apache spark, kafka
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Udemy
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Complete Hadoop Framework including kafka,spark and mongo db
1 321
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18.5 hours
content
Jan 2019
last update
$19.99
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Why take this course?

🌟 Course Headline: Dive Deep into the Hadoop Ecosystem: Master Hadoop, Spark, Kafka, and Mongo DB for Data Analytics 🌟

Unlock the Power of Big Data with Hadoop & Its Ecosystem!


Course Description:

Embark on a transformative journey into the world of data analytics with our comprehensive online course. Designed for professionals and enthusiasts alike, this course equips you with the skills to harness the full potential of big data using the Hadoop framework and its advanced components—Apache Spark, Apache Kafka, and Mongo DB.

What is Data Analytics? 📊

Data analytics isn't just about crunching numbers; it's about turning vast amounts of data into strategic insights that drive business decisions. From understanding past trends to forecasting future patterns, this course covers the entire spectrum of data analytics within the Hadoop ecosystem.

Why Learn Hadoop and Its Ecosystem? 🤔

Hadoop has revolutionized how we store and process big data by making it scalable, distributed, and cost-effective. By integrating Apache Spark for lightning-fast processing, Apache Kafka for real-time data streaming, and Mongo DB for flexible data storage, you'll be at the forefront of modern data handling techniques.

What Will You Learn? 🎓

  • Hadoop Fundamentals: Understand the core components of Hadoop, including HDFS and MapReduce.
  • Advanced Concepts with Spark and Kafka: Master Apache Spark for its speed and ease of use in data processing, and leverage Apache Kafka for real-time data pipelines.
  • Mongo DB Integration: Explore MongoDB's document-oriented storage to complement Hadoop's capabilities.
  • Real-World Applications: Learn through practical case studies and understand how these technologies solve business problems.
  • Interview Preparation: Get armed with common interview questions for each technology in the ecosystem, ensuring you stand out in the job market.
  • Resume Tips: Craft a compelling resume that highlights your skills in Hadoop, Spark, Kafka, and Mongo DB.

Course Highlights:

  • Detailed Explanations: Every concept is explained with clarity and depth, supported by real-world examples.
  • Hands-On Learning: Engage with practical exercises that reinforce your understanding of Hadoop and its ecosystems.
  • Expert Insights: Learn from an industry expert who brings years of experience in data analytics and big data technologies.
  • Comprehensive Resources: Access a wealth of materials, including slides, code examples, and additional reading to deepen your knowledge.
  • Community Support: Join a community of like-minded learners and exchange ideas, challenges, and solutions.

Who is this course for? 👩‍💻✨

  • Aspiring data scientists eager to specialize in big data technologies.
  • Data analysts looking to upskill and expand their analytical toolkit.
  • Software engineers interested in understanding and utilizing the Hadoop ecosystem.
  • IT professionals aiming to fill roles that require knowledge of these cutting-edge technologies.
  • Anyone curious about how big data can transform businesses and drive innovation.

Take the next step towards becoming a big data expert! Enroll now and unlock the secrets of the Hadoop framework and its ecosystems. 🚀

Course Gallery

Complete Hadoop Framework including kafka,spark and mongo db – Screenshot 1
Screenshot 1Complete Hadoop Framework including kafka,spark and mongo db
Complete Hadoop Framework including kafka,spark and mongo db – Screenshot 2
Screenshot 2Complete Hadoop Framework including kafka,spark and mongo db
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Screenshot 3Complete Hadoop Framework including kafka,spark and mongo db
Complete Hadoop Framework including kafka,spark and mongo db – Screenshot 4
Screenshot 4Complete Hadoop Framework including kafka,spark and mongo db

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997366
udemy ID
29/10/2016
course created date
16/10/2021
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