Analytics
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Back to Certified Big Data Science ProfessionalCourse Curriculum
- Terminology and concepts4 hours 33 mins
- A brief history of Big Data4 hours 33 mins
- Business Drivers who lead innovation in Big Data4 hours 33 mins
- Feature of Big Data4 hours 33 mins
- Benefits of adoption of Big Data4 hours 33 mins
- Challenges and constraints of Big Data4 hours 33 mins
- Basic Big Data Analytics4 hours 33 mins
- Big Data, Business Intelligence traditional y Data Warehouses.4 hours 33 mins
- Big Data display4 hours 33 mins
- Drill Down4 hours 33 mins
- Adoption common problems4 hours 33 mins
- Big Data Planning Initiatives4 hours 33 mins
- New roles introduced by Big data Projects4 hours 33 mins
- Emerging trends4 hours 33 mins
- Big Data Analysis Lifecycle Stages4 hours 33 mins
- Big Data Technology Components & Concepts4 hours 33 mins
- Big Data Mechanisms4 hours 33 mins
- Big Data Analysis Techniques4 hours 33 mins
- Big Data Analysis Lifecycle Stages4 hours 33 mins
- Big Data Mechanisms4 hours 33 mins
- Big Data Technology Components & Concepts4 hours 33 mins
- Business Drivers4 hours 33 mins
- Enterprise Technologies4 hours 33 mins
- Data Analytics4 hours 33 mins
- Big Data Sources4 hours 33 mins
- Analytics4 hours 33 mins
- Business Intelligence4 hours 33 mins
- Data Visualization4 hours 33 mins
- Big Data Characteristics4 hours 33 mins
- Big Data Types4 hours 33 mins
- Terminology & Concepts4 hours 33 mins
- Adoption & Planning Considerations4 hours 33 mins
- Big Data Analysis Techniques4 hours 24 mins
Teacher
Daniel Lanza
Role : Big Data Engineer - CERN
- Website : www.factorhumanoformacion.com
- Experience : Working at CERN as Big Data Engineer
- Specialist in : Big Data
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