Big Data Hadoop
Overview
Why Choose the Big Data Hadoop Course by Cambridge InfoTech, Bangalore?
There are a dozen institutes that offer the Big Data Hadoop course through eLearning. While many of these courses give students textbook learning and video tutorials, Cambridge InfoTech goes one step further and gives students additional case studies, interactive presentations, hands-on learning tools and live training. Our course gives students a much deeper perspective about Big Data Hadoop through real examples by trainers who are certified and have vast experience in the IT sector.
The courses we offer our students are designed in a systematic manner with each module broken down further to make learning fun and easy. The courses by Cambridge InfoTech help students gain on-job training experience as well.
What Are The Value-Added Benefits of Cambridge InfoTech Courses?
Before the final CCA175 Hadoop and Spark Developer Certification, the Cambridge InfoTech trainer will provide mock assignments in a guided manner and also help with resume building through extended support as well as interview preparation. Furthermore, once students are certified, Cambridge InfoTech will offer placement services to all the students that have passed the certification. Our students in the past have held a high score of 97% placements in some of the best firms in India.
What is the CCA175 Hadoop and Spark Developer Certification?
The CCA175 Hadoop and Spark Developer Certification is an examination that gives students the needed accreditation to get the highest-paying jobs in the Big Data sector. The certification is internationally accredited and the course by Cambridge InfoTech, Bangalore adequately prepares students to use various aspects of Big Data and Hadoop with ease.
Since the CCA175 certification is a remote proctored exam that can be can be taken from any location in the world, our trainers will help students ace it by giving them practice scenarios to solve based on examples of past certifications. Additional support is also given to our students through online resources that they can utilize later on to climb their respective career paths successfully, with ease and confidence.
Course Modules
Module 1: Introduction to Bigdata and Hadoop
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Introduction to Big Data and Hadoop
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Introduction to Big Data
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Big Data Analytics
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What is Big Data?
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Four vs of Big Data
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Case Study Royal Bank of Scotland
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Challenges of Traditional System
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Distributed Systems
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Introduction to Hadoop
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Components of Hadoop Ecosystem Part One
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Components of Hadoop Ecosystem Part Two
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Components of Hadoop Ecosystem Part Three
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Commercial Hadoop Distributions
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Demo: Walk through of Simpli learn Cloud lab
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Key Takeaways
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Knowledge Check
Module 2: Hadoop Architecture Distributed Storage (HDFS) and YARN
Module 3: Data Ingestion into Big Data Systems and ETL
Module 4: Distributed Processing Map
Module 5 : Apache Hive
Module 6: No SQL Databases HBase
Module 7: Basics of Functional Programming and Scala
Module 8 : Apache Spark Next-Generation Big Data Framework
Module 9 : Spark Core Processing RDD
Module 10 : Spark SQL Processing Data Frames
Module 11 : Spark M Lib Modelling Big Data with Spark
Module 12 : Stream Processing Frameworks and Spark Streaming
Module 13 : Spark Graph X
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