Skip to 0 minutes and 1 second SPEAKER: Big data is a big deal. Learn the basics of Hadoop and big data analytics in three short weeks. Learn from an expert in all things Hadoop. Let Frank Kane from Sundog Education introduce you to big data analytics. This course is designed to help you use the Hadoop Distributed File System, describe MapReduce, use Hadoop with Pig and Spark, use relational and non-relational data stores with Hadoop, handle Hadoop happily. Learn from anywhere at any pace. Step into your future with introduction to big data analytics with Hadoop from Packt and FutureLearn.
Weekly study2 hours
Introduction to Big Data Analytics with Hadoop
Learn how to use the Hadoop ecosystem
Understanding Hadoop is a highly valuable skill for anyone working with large amounts of data. Companies such as Amazon, eBay, Facebook, Google, LinkedIn, Spotify, and Twitter use Hadoop in some way to process huge chunks of data.
On this three-week course, you’ll become familiar with Hadoop’s ecosystem and understand how to apply Hadoop skills in the real world.
Exploring the history and key terminology of Hadoop, you’ll then walk-through the installation process on your desktop to help you get started.
Explore Hadoop Distributed File System (HDFS)
With a solid introduction to Hadoop, you’ll learn how to manage big data on a cluster with Hadoop Distributed File System (HDFS).
You’ll also discover MapReduce to understand what it is and how it’s used before moving onto programming Hadoop with Pig and Spark.
With this knowledge, you’ll be able to start analysing data on Hadoop.
Understand MySQL and NoSQL
Next, you’ll learn how to do more with your data as you understand how to store and query data. To help you do this, you’ll learn how to use applications such as Sqoop, Hive, MySQL, Phoenix, and MongoDB.
Develop core data analyst skills
Finally, you’ll hone your data analyst skills by learning how to query data interactivity. You’ll also gain an overview of Presto and learn how to install it to ensure you can quickly query data of any size.
By the end of the course, you’ll have the skills to effectively work with big data using Hadoop and be able to streamline your processes.
Learning on this course
On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.
What will you achieve?
By the end of the course, you‘ll be able to...
- Discuss the Hadoop Distributed File System.
- Describe MapReduce.
- Practice using Hadoop with Pig.
- Practice using Hadoop with Spark.
- Demonstrate using relational datastores with Hadoop.
- Demonstrate using non-relational datastores with Hadoop.
Who is the course for?
This course is designed for anyone who works with big data.
You don’t need any prior experience of using Hadoop as you’ll start with the very basics.
What software or tools do you need?
On this course, we’ll show you how to install the Hadoop environment on your operating system.
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