Enroll Course: https://www.udemy.com/course/best-hadoop/
In today’s data-driven world, understanding and leveraging Big Data technologies is no longer a niche skill but a crucial asset for career advancement, especially in the tech industry. The Udemy course, “Hadoop: 여러 실습으로 빅 데이터 길들이기!” (Hadoop: Tame Big Data with Various Hands-on Labs!), taught by engineers and senior managers who have worked at Amazon and IMDb, promises a comprehensive and practical approach to mastering Hadoop and its ecosystem.
This course is designed for a broad audience, catering to project managers who need a high-level understanding of web UIs and concepts, as well as programmers looking to dive deep into Scala, Pig Latin, and Python for Hadoop development. With over 25 technologies covered in 14 hours of video content, the course emphasizes practical application through numerous labs and exercises, ensuring students gain real-world experience rather than just theoretical knowledge.
The curriculum is extensive, covering everything from setting up a Hadoop environment on your desktop using Hortonworks and Ambari UI, to managing big data with HDFS and MapReduce. It delves into data analysis with Pig and Spark, data storage and querying using a variety of tools like Sqoop, Hive, MySQL, HBase, Cassandra, MongoDB, Drill, Phoenix, and Presto. Furthermore, the course explores cluster management with YARN, Mesos, Zookeeper, Oozie, Zeppelin, and Hue, and tackles real-time streaming data processing with Kafka, Flume, Spark Streaming, Flink, and Storm.
The instructor, Frank Kane, a renowned Udemy instructor with over 810,000 students, acknowledges that the Hadoop ecosystem can seem daunting due to its vast array of technologies. However, he assures learners that this course will demystify these systems, explain how they integrate, and demonstrate how to use them to solve actual business problems. The focus is primarily on application development within Hadoop, though some management skills are also touched upon.
Student testimonials highlight the course’s effectiveness. One student, Aldo Serrano, credits the course for helping him secure a Big Data Engineer position within a year of completing it, praising the clear explanations and practical approach. Tyler Buck echoes this sentiment, particularly commending Frank’s ability to simplify complex topics and his recommendation of the Spark environment, stating the course significantly improved his understanding of the environment and its functionalities.
For anyone looking to gain a solid, practical understanding of Hadoop and its related distributed systems, and to become proficient in handling Big Data, this course appears to be an excellent investment. It equips learners with highly valuable skills sought after by top tech employers and provides a certificate upon completion.
**Note:** While the course content is extensive, the instructor requests that any questions in the Q&A section be submitted in English to ensure a response.
Enroll Course: https://www.udemy.com/course/best-hadoop/