BIG DATA ANALYTICS WITH HADOOP & R
Big Data Analytics course for Data Professionals using Hadoop Spark and R. Exclusive topics covering the Theory, Method, Tools and Technologies for Advanced Analytics including SQL and MADlib.
COURSE OBJECTIVE:
This Big Data Analytics with Hadoop, Spark and R is an open course that will provide an insight and working knowledge of Big Data and the Data Analytics Life-cycle to address business challenges that leverage Big Data. The course provides participants with in-depth knowledge in Basic and Advanced Analytics method along with an introduction to Big Data Analytics Technology and Tools, including MapReduce and Hadoop. |
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LESSON PLANS
SESSION 1: INTRODUCTION TO BIG DATA ANALYTICS
Session Goal:
SESSION 2: BIG DATA ANALYTICS IN INDUSTRY VERTICALS – DATA ANALYTICS LIFECYCLE Session Goal:
SESSION 3: REVIEW OF BASIC DATA ANALYTICS METHOD USING R: Session Goal:
SESSION 4: ADVANCED ANALYTICS – THEORY & METHODS Session Goal:
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SESSION 5: ADVANCED ANALYTICS – TECHNOLOGIES & TOOLS Session Goal:
SESSION 6: IN-DATABASE ANALYTICS – SQL ESSENTIALS Session Goal: SESSION 7: ADVANCED SQL & MADLIB FOR IN-DATABASE ANALYTICS Session Goal:
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CASE STUDY AND PROJECTS:
Case studies are Integral part of Training. As part of this course we will ensure you implement Real-time case studies in various domains which includes:
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TRAINING FEATURES:
1) Extensive Real Time Live Examples, Projects & POCs for improved practical competency, ensure deployment readiness and implementation. 2) Custom Lab, Software and Environment provided with Real-time Project Simulation. 3) Recorded Videos complemented with corresponding lecture ppts, materials & lab guides. (Provided in the form of MP4 videos, pdf, ppt for offline access as well). 4) Certification and Job-Interview Counselling & Coaching after every training. |