Up-skill your team by training them on Comprehensive MapReduce
MapReduce training
Zeolearn academy brings a
comprehensive MapReduce course that will introduce you to distributed data
processing and using MapReduce to process large amounts of data. With more
focus on practical and hands-on exercises, the workshop will teach you to write
complex MapReduce programs and program in YARN. Understanding the advanced
features of MapReduce will help you use it to give logical insights for business
benefits.
The emergence of Big Data has
alleviated the need for large scale parallel processing of data. MapReduce is a
software framework that helps perform this processing in a scalable and fault
tolerant manner. Developed by Google, MapReduce is already powering the web
searches of top companies such as Yahoo. Being a MapReduce programmer can
greatly enhance your career prospects. By enrolling into this course, you will
develop your knowledge and skills in the MapReduce framework and the MapReduce certification that you receive upon
successful completion of course proves your ability to the employers. We also
offer free reference materials to the registered candidates at our institute.
Here’s what you will learn from our
coaching!
Is this course right for you?
This MapReduce online course is apt
for Software Professionals, Java Developers, Analytics Professionals, ETL
developers, Project Managers, Testing and other professionals who are keen to
pursue a career in Big Data analytics.
Prerequisites:
Participants need to have hands-on experience in Core Java and good analytical skills to grasp the concepts explained in this course.
MapReduce is a simple programming model for large-scale data processing. This programming paradigm that is the heart of Hadoop allows for massive scalability across hundreds or thousands of servers in a Hadoop cluster. This helps execute processes in a distributed manner while offering high availability. Its simplicity, scalability, speed, and fault tolerant characteristics have made it extremely popular and a career in this tool would be very lucrative.
We understand the importance of a MapReduce certification and hence bring you a full-fledged MapReduce course that has been designed to give you maximum learning. With plenty of demo and practice sessions, you would have mastered MapReduce programming by the end of the workshop. Zeolearn academy is also known for its excellent infrastructure and support materials in the form of courseware and glossary. Enrol now and ensure maximum learning.
On completing the course, you will learn about:
Zeolearn brings you online mentor driven courses that not only helps professionals gain theoretical expertise but also the practical experience in a wide variety of courses including courses on Big Data such as Hadoop Administration and Apache Spark and Scala, which are very popular. The fact that our workshops are mentor driven gives us an edge over other training institutes since you can learn from industry experts about the application and challenges of upcoming technologies. We have so far trained thousands of professionals with the skills needed to land lucrative jobs and you could be next!
Towards the end of the course, all participants will be required to work on a project to get hands on familiarity with the concepts learnt. You will write your own MapReduce program and implement it with support from your mentors. This project, which can also be a live industry project, will be reviewed by our instructors and industry experts. On successful completion, you will be awarded a certification.
You may be required to put in 10 to 12 hours of effort every week, including the live class, self study and assignments.
Your classes will be held online. All you need is a windows computer with good internet connection to attend your classes online. A headset with microphone is recommended.
You may also attend these classes from your smart phone or tablet.
Don’t worry, you can always access your class recording or opt to attend the missed session again in any other live batch.
This course is apt for Software Professionals, Java Developers, Analytics Professionals, ETL developers, Project Managers, Testing and other professionals who are keen to pursue a career in Big Data analytics.
MapReduce is a programming model that allows massive data for processing in pragmatic design. It makes code robust, reusable, assures quality and enhances the productivity of the applications. It is the heart of Hadoop which allows massive scalability across hundreds or thousands of servers in Hadoop cluster. Enrol and get trained in MapReduce course in Los Angeles from the best academy in Los Angeles.
Zeolearn Institute offers online course and conducts their classes in 20 hours of duration with the help of their professional Trainers who make you get through the MapReduce classes in Los Angeles with hands-on learning. They help you with their study Material to get expertise in MapReduce classes in Los Angeles to create a career in web development market as your application needs to be robust, secure, built on code which is simple and easy to maintain. This improves the practical knowledge of the students and gives them an in-depth understanding of every concept of the framework.
MapReduce?
Zeolearn helps you with their precise Workshops, demo exercises, test assignments and other practice sessions conducted by professional Trainers to accomplish a bright future on the server side. You will finally learn the basic and basic concepts of MapReduce. MapReduce training in Los Angeles is designed in 5 Modules to make you aware of Hadoop and its use in parallel data processing.
You will be certified by Zeolearn and Industry experts at the end of your sessions as MapReduce course in Los Angeles after doing an industry based project which will give you recognition as a MapReduce, web developer.
All the professional web developers, students and Python developers who want to create best applications on the server side are most benefited with MapReduce certification in Los Angeles. Get this tool in hand to make your career more bright in the future.