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Big Data Course Overview
The Big Data Hadoop certification training is designed to give you an in-depth knowledge of the Big Data framework using Hadoop and Spark. In this hands-on Hadoop course, you will execute real-life, industry-based projects using Integrated Lab.
Hadoop Development course teaches the skill set required for the learners how to setup Hadoop Cluster, how to store Big Data using Hadoop (HDFS) and how to process/analyze the Big Data using Map-Reduce Programming or by using other Hadoop ecosystems. Attend Hadoop Training demo by Real-Time Expert.
Big Data Hadoop Training Key Features
At Fiesttech, we value the trust of our patrons immensely. But, if you feel that this Big Data Hadoop Training does not meet your expectations, we offer a 7-day money-back guarantee. Just send us a refund request via email within 7 days of purchase and we will refund 100% of your payment, no questions asked!
- 8X higher live interaction in live online classes by industry experts
- Dedicated mentoring session from our Industry expert faculties
- Aligned to Cloudera CCA175 certification exam
- 4 real-life industry projects using Hadoop, Hive and Big data stack
- Training on Yarn, MapReduce, Pig, Hive, HBase, and Apache Spark
Skills Covered
- Keras and TensorFlow Framework
- PyTorch and its elements
- Image Classification
- Artificial Neural Networks
- Autoencoders
- Deep Neural Networks
- Conventional Neural Networks
- Recurrent Neural Networks
- ADAM Adagrad and Momentum
Benefits
As humans, we are immersed in data in our every-day lives. As per IBM, the data doubles every two years on this planet. The value that data holds can only be understood when we can start to identify patterns and trends in the data. Normal computing principles do not work when data becomes huge.
There is massive growth in the big data space, and job opportunities are skyrocketing, making this the perfect time to launch your career in this space.
In this course, you will learn Hadoop to drive better business decisions and solve real-world problems.
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Training Options
Explore all of our training options and pick your suitable ones to enroll and start learning with us! We ensure that you will never regret it!
Big Data Hadoop Course Curriculum
Eligibility
Big Data Hadoop certification training online course is best suited for IT, Data Management, and Analytics professionals looking to gain expertise in Big Data Hadoop, including Software Developers and Architects, Senior IT professionals, Testing and Mainframe professionals, Business Intelligence professionals, Project Managers, Aspiring Data Scientists, Graduates looking to begin a career in Big Data Analytics.
Pre-requisites
Professionals entering into Big Data Hadoop certification training should have a basic understanding of Core Java and SQL. If you wish to brush up your Core Java skills, FiestTech offers a complimentary self-paced course Java essentials for Hadoop as part of the course syllabus.
Course Content
Live Course
Self Paced
Big Data Hadoop Training Exam & Certification
Upon successful completion of the Big Data Hadoop certification training, you will be awarded the course completion certificate from FiestTech. To get a CCA175 - Spark and Hadoop certificate from Fiesttech, you need to clear the exam.
- Online Classroom: attend one complete batch of Big Data Hadoop certification training and complete one project and one simulation test with a minimum score of 80%
- Online Self-learning: complete 85% of the course and complete one project and one simulation test with a minimum score of 80%
FAQS
Big Data Hadoop Training Course FAQs
Big data refers to a collection of extensive data sets, including structured, unstructured, and semi-structured data coming from various data sources and having different formats.These data sets are so complex and broad that they can't be processed using traditional techniques. When you combine big data with analytics, you can use it to solve business problems and make better decisions.
Hadoop is an open-source framework that allows organizations to store and process big data in a parallel and distributed environment. It is used to store and combine data, and it scales up from one server to thousands of machines, each offering low-cost storage and local computation.
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