Apache Hadoop Fundamentals training class teaches attendees how to build distributed, data-intensive applications using the Hadoop framework. Students learn the principles of parallel programming and how use Big Data tools such as Pig, Hive, and HBase.
Understand the principles of parallel computing
Understand Hadoop architecture (HDFS and MapReduce)
Use additional Big Data tools (Pig, Hive, HBase, etc.)
Learn Big Data patterns and best practices
Define Big Data project architecture
Understand and use NoSQL, Mahout, and Oozie
Developers
4 days
All attendees must be comfortable with the Java programming language (since all programming exercises are in Java), familiar with Linux commands, and proficient in an IDE like Eclipse or a Linux editor (VI / nano) for modifying the code.
Introduction to Apache Hadoop Fundamentals
HDFS
MapReduce
Pig
Hive
HBase
Real world Big Data skills and a hackathon
Conclusion of Apache Hadoop Fundamentals
We created a personalized delivery strategy by offering blended learning
Find a bunch of people who are on the same page with you.
Engaging platform with gamification for collaboration and friendly competition.
Interactive online trainings and live webinars available.
A special learning environment can boost learning efficiency.
Available anywhere and anytime, on your phone, computer or tablet.
Yes, you can choose an online or an offline training session. We use Knolyx, an e-learning platform, to make the process of online training and mobile learning delivery as efficient as a face-to-face training session. You can check here a complete list of features set.
That’s up to you. We offer you an efficient learning environment and you can use it according to your needs: either online or offline. Nobody knows better than you and your team what you need, so we do not imposed some predefined criteria, we adapt to yours.
Yes. We offer training consultancy and we establish the most appropriate courses according to the specific needs and business objectives of your company.
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