Flume and Sqoop for Ingesting Big Data

Import data to HDFS, HBase and Hive from a variety of sources , including Twitter and MySQL
4.10 (172 reviews)
Udemy
platform
English
language
Software Engineering
category
instructor
Flume and Sqoop for Ingesting Big Data
3 437
students
2.5 hours
content
Oct 2016
last update
$19.99
regular price

Why take this course?

📘 Master Big Data with Flume & Sqoop for Ingesting Data at Scale 🚀

Course Description:

Dive into the world of big data with our comprehensive online course, "Flume and Sqoop for Ingesting Big Data." This course is a treasure trove for anyone looking to master the art of importing vast amounts of data to Hadoop's ecosystem. Taught by a team that includes Stanford-educated, ex-Googlers with decades of practical experience in Java and managing billions of rows of data, you're in expert hands. 🎓

Key Takeaways:

🚀 Hands-On Learning: Get ready to engage in real-world scenarios where you'll learn to use Flume and Sqoop to import data from a variety of sources like Twitter and MySQL into HDFS, HBase, and Hive. These tools are crucial for managing data flows at scale within the Hadoop ecosystem.

🔧 Flume & Sqoop Mastery: Understand the core functionalities of Flume and Sqoop. You'll learn how to set up Flume Agents to handle streaming data, and leverage Sqoop for bulk importing from traditional RDBMS to Hadoop storage solutions.

What You Will Learn:

  • Practical Implementations: Gain experience with practical implementations for ingesting data from diverse sources such as Twitter, MySQL, Spooling Directory, and HTTP, and sinks like HDFS, HBase, and Hive.

  • Flume Features: Explore the inner workings of Flume, including Flume Agents, Events, Event bucketing, Channel selectors, and Interceptors to manage and route your data seamlessly.

  • Sqoop Features: Discover the power of Sqoop's incremental imports, particularly for MySQL databases. Learn how to set up Sqoop jobs for efficient data transfer and keep your data fresh and up-to-date.

Course Highlights:

  • Expert-Led Learning: Our instructors are seasoned professionals with real-world experience, ensuring that you receive valuable insights and practical knowledge.

  • Real-World Scenarios: Engage with scenarios that mimic the challenges faced in the industry, allowing you to apply your skills effectively.

  • Interactive Content: Learn through a mix of video lectures, interactive exercises, and hands-on projects designed to reinforce your understanding of Flume and Sqoop.

Why Take This Course?

  • Industry Demand: Big Data roles are in high demand, and mastering tools like Flume and Sqoop can set you apart in the job market.

  • Ecosystem Proficiency: Understanding how to effectively use these tools within the Hadoop ecosystem will equip you with the skills needed for a successful career in data engineering.

  • Future-Proof Your Skills: Data continues to grow exponentially, and those who can handle its influx efficiently are crucial to any tech organization.

Enroll now and transform your data into valuable insights! 🌟

Course Gallery

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Related Topics

886072
udemy ID
23/06/2016
course created date
22/11/2019
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