April 28, 2021
Here is the link.
Explore the full course on Udemy (special discount included in the link): https://www.udemy.com/the-ultimate-ha... Learn to stream big data with Kafka, starting from scratch. Kafka is a powerful data streaming technology and a very hot technical skill to have right now. With Kafka, you can publish streams of data from web logs, sensors, or whatever else you can imagine to systems that manipulate, analyze, and store that data all in real time. Kafka bring a reliable publish / subscribe mechanism that is resilient and can allow clients to pick up where they left off in the event of an outage. In this tutorial, you will set up a free Hortonworks sandbox environment within a virtual Linux machine running right on your own desktop PC, learn about how data streaming and Kafka work, set up Kafka, and use it to publish real web logs on a Kafka topic and receive them in real time. Kafka is sometimes billed as a Hadoop killer due to its power, but really it is an integral piece of the larger Hadoop ecosystem that has emerged. Course Description The world of Hadoop and "Big Data" can be intimidating - hundreds of different technologies with cryptic names form the Hadoop ecosystem. With this course, you'll not only understand what those systems are and how they fit together - but you'll go hands-on and learn how to use them to solve real business problems! Learn and master the most popular big data technologies in this comprehensive course, taught by a former engineer and senior manager from Amazon and IMDb. We'll go way beyond Hadoop itself, and dive into all sorts of distributed systems you may need to integrate with. Install and work with a real Hadoop installation right on your desktop with Hortonworks and the Ambari UI Manage big data on a cluster with HDFS and MapReduce Write programs to analyze data on Hadoop with Pig and Spark Store and query your data with Sqoop, Hive, MySQL, HBase, Cassandra, MongoDB, Drill, Phoenix, and Presto Design real-world systems using the Hadoop ecosystem Learn how your cluster is managed with YARN, Mesos, Zookeeper, Oozie, Zeppelin, and Hue Handle streaming data in real time with Kafka, Flume, Spark Streaming, Flink, and Storm Understanding Hadoop is a highly valuable skill for anyone working at companies with large amounts of data. Almost every large company you might want to work at uses Hadoop in some way, including Amazon, Ebay, Facebook, Google, LinkedIn, IBM, Spotify, Twitter, and Yahoo! And it's not just technology companies that need Hadoop; even the New York Times uses Hadoop for processing images. This course is comprehensive, covering over 25 different technologies in over 14 hours of video lectures. It's filled with hands-on activities and exercises, so you get some real experience in using Hadoop - it's not just theory. You'll find a range of activities in this course for people at every level. If you're a project manager who just wants to learn the buzzwords, there are web UI's for many of the activities in the course that require no programming knowledge. If you're comfortable with command lines, we'll show you how to work with them too. And if you're a programmer, I'll challenge you with writing real scripts on a Hadoop system using Scala, Pig Latin, and Python. You'll walk away from this course with a real, deep understanding of Hadoop and its associated distributed systems, and you can apply Hadoop to real-world problems. Plus a valuable completion certificate is waiting for you at the end! Please note the focus on this course is on application development, not Hadoop administration. Although you will pick up some administration skills along the way. I hope to see you in the course soon! -Frank Who is the target audience? Software engineers and programmers who want to understand the larger Hadoop ecosystem, and use it to store, analyze, and vend "big data" at scale. Project, program, or product managers who want to understand the lingo and high-level architecture of Hadoop. Data analysts and database administrators who are curious about Hadoop and how it relates to their work. System architects who need to understand the components available in the Hadoop ecosystem, and how they fit together. Your instructor is Frank Kane of Sundog Education, bringing nine years of experience as a senior engineer and senior manager at Amazon.com and IMDb.com, where his job involved extracting meaning from their massive data sets, and processing that data in a highly distributed manner.
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