Big Data Analysis & Technology Concepts
irna
Wed, 09/28/2022 - 03:54
Duration
2 Days
Exam Details
- Exam Code: Exam B90.02: Big Data Analysis & Technology Concepts
- Duration: 60 minutes
- A passing grade on Exam B90.02 is a requirement for the following certification(s):
- Certified Big Data Science Professional
- Certified Big Data Scientist
- Certified Big Data Consultant
- Certified Big Data Engineer
- Certified Big Data Architect
- Certified Big Data Governance Specialist
- Availability: Pearson VUE Testing Centers Worldwide, Pearson VUE Online Proctoring, On-Site Proctoring
Price
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This course explores a range of the most relevant topics that pertain to contemporary analysis practices, technologies and tools for Big Data environments. The course content does not get into implementation or programming details, but instead keeps coverage at a conceptual level, focusing on topics that enable participants to develop a comprehensive understanding of the common analysis functions and features offered by Big Data solutions, as well as a high-level understanding of the back-end components that enable these functions.
Key Outcomes
Students will be able to know:
- Big Data Technology Components & Concepts
- Big Data Mechanisms
- Big Data Analysis Techniques
- Big Data Analysis Lifecycle Stages
Objectives
The following primary topics are covered:
- Big Data Analysis Lifecycle (from business case evaluation to data analysis and visualization)
- A/B Testing, Correlation
- Regression, Heat Maps
- Time Series Analysis
- Traditional Enterprise
- Network Analysis
- Spatial Data Analysis
- Classification, Clustering
- Filtering (including collaborative filtering & content-based filtering)
- Sentiment Analysis, Text Analytics
- Processing Workloads, Clusters
- Cloud Computing & Big Data
- Foundational Big Data Technology Mechanisms
Contact
- Nurman (+62 857-2375-3840)
- Irna (+62 822-1664-7749)
- Puji (+62 813-2424-2115)