Big Data Governance Certification Self-Study Kit Bundle

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1 Big Data Governance Certification Bundle This certification bundle provides you with the self-study materials you need to prepare for the exams required to complete the Big Data Governance Certification. The bundle includes the following self-study kits: BDSCP Module 1 : Fundamental Big Data (Exam B90.01) Foundational course that establishes a basic understanding of Big Data from business and technology perspectives, including common benefits, challenges and adoption issues. BDSCP Module 2 : Big Data Analysis & Technology Concepts (Exam B90.02) Explores contemporary analysis practices, technologies and tools for Big Data environments at a conceptual level, focusing on common analysis functions and features of Big Data solutions. BDSCP Module 13 : Fundamental Big Data Governance (Exam B90.13) Introduces Big Data governance frameworks, and covers the basics of governing high-volume, multi-source data and Big Data technology environments. BDSCP Module 14 : Advanced Big Data Governance (Exam B90.14) Steps through the Big Data lifecycle to cover specific precepts, processes and associated policies for regulating disparate bodies of data and Big Data solution environments. BDSCP Module 15 : Big Data Governance Lab (Exam B90.15) A hands-on lab during in which a set of real-world exercises challenge A hands-on lab during which participants are required to work with Big Data governance precepts, processes and policies to address a series of realworld governance concerns. By purchasing these kits as part of this bundle you receive a 20% discount. Please note that this bundle requires the following textbooks: Business Case for Big Data, Big Data Analytics, Doing Data Science. These text books can be purchased

2 BDSCP Module 1: Fundamental Big Data This foundational course provides a high-level overview of essential Big Data topic areas. A basic understanding of Big Data from business and technology perspectives is provided, along with an overview of common benefits, challenges, and adoption issues. The course content is divided into a series of modular sections, each of which is accompanied by one or more hands-on exercises. The following primary topics are covered: Fundamental Terminology and Concepts A Brief History of Big Data Business Drivers that Have Led to Big Data Innovations Characteristics of Big Data Benefits of Adopting Big Data Challenges and Limitations of Big Data Basic Big Data Analytics Big Data and Traditional Business Intelligence and Data Warehouses Big Data Visualization Common Adoption Issues Planning for Big Data Initiatives New Roles Introduced by Big Data Projects Emerging Trends. Text Books This BDSCP course module covers a range of in-depth topics that are described in the course booklet(s) and further elaborated by detailed technical coverage and case study examples in the accompanying The Business Case for Big Data (Too Big to Ignore) text books. separately as part of the Module 1, which includes designed to prepare you for Exam B90.01 and are also suitable

3 BDSCP Module 2: Big Data Analysis & Technology Concepts 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. The following primary topics are covered: The Big Data Analysis Lifecycle (from dataset identification to integration, analysis and visualization) Common Analysis and Analytics Techniques A/B testing, Regression, Correlation, Text Analytics Sentiment Analysis, Time Series Analysis Network Analysis, Spatial Analysis Automated Recommendation, Classification, Clustering Machine Language, Natural Language, Semantics Data Visualization and Visual Analysis Assessing Hierarchies, Part-to-Whole Relationships Plotting Connections and Relationships, Mapping Geo-Spatial Data Foundational Big Data Technology Mechanisms Big Data Storage (Query Workload, Sharding, Replication, CAP, ACID, BASE) Big Data Processing (Parallel Data Processing, Distributed Data Processing, Shared- Everything/Nothing Architecture, SCV) Big Data & Cloud Computing. Text Books This BDSCP course module covers a range of in-depth topics that are described in the course booklet(s) and further elaborated by detailed technical coverage and case study examples in the accompanying The Business Case for Big Data (Too Big to Ignore) text books. separately as part of the Module 2, which includes designed to prepare you for Exam B90.02 and are also suitable

4 BDSCP Module 13: Fundamental Big Data Governance The official description for this course module is coming soon.. separately as part of the Module 13, which includes designed to prepare you for Exam B90.13 and are also suitable

5 BDSCP Module 14: Advanced Big Data Governance The official description for this course module is coming soon.. separately as part of the Module 14, which includes designed to prepare you for Exam B90.14 and are also suitable

6 BDSCP Module 15: Big Data Governance Lab The official description for this course module is coming soon.. separately as part of the Module 15, which includes designed to prepare you for Exam B90.15 and are also suitable