Enterprise Database Systems
Big Data Operations
Managing Big Data Operations
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Quality and Security of Big Data Operations
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Managing Big Data Operations
Lesson Objectives
Managing Big Data Operations
- start the course
- describe big data and where it's heading today
- recognize the trends and the various industries that are exposed to big data operations
- identify the technologies and advancements in big data
- describe the process of monitoring big data repositories and predictive modeling
- recognize the various big data KPIs and how each can be used
- describe the various performance issues and how to solve them using data monitoring
- recognize big data network monitoring operations and its importance
- list the various software and applications that can be used to provide big data orchestrations
- recognize the operations that integrate big data
- recognize the various processes of automating ETL jobs
- describe big data trends and characteristics
Overview/Description
This course covers the types of challenges being faced day to day by rethinking data systems from the ground up. This course also covers in-depth topics such as monitoring tools, orchestrations, and performance modeling.
This course covers the types of challenges being faced day to day by rethinking data systems from the ground up. This course also covers in-depth topics such as monitoring tools, orchestrations, and performance modeling.
Target Audience
Project managers, Business Intelligence or ETL developers, data architects, data analysts and big data enthusiasts interested in a higher comprehension of big data; some knowledge of big data or data science, data warehouse, ETL, or any of the applications/software used in the industry today would be ideal
Project managers, Business Intelligence or ETL developers, data architects, data analysts and big data enthusiasts interested in a higher comprehension of big data; some knowledge of big data or data science, data warehouse, ETL, or any of the applications/software used in the industry today would be ideal
Quality and Security of Big Data Operations
Lesson Objectives
Quality and Security of Big Data Operations
- start the course
- describe key similarities and differences between data warehousing testing vs. big data testing
- recognize the various testing methods and strategies
- recognize the testing methods in ETL processes
- describe the various methods in performance testing
- demonstrate key strategies in big data testing
- identify important tools available in Hadoop ecosystem for testing big data
- describe the main challenges business face with big data currently
- describe data leakage and ways to prevent it
- recognize the various ways to keep data clean, maintained, and secure
- describe important characteristics of big data testing
Overview/Description
In this course, you'll learn about big data testing and challenges that organizations face with big data operations.
In this course, you'll learn about big data testing and challenges that organizations face with big data operations.
Target Audience
Project managers, Business Intelligence or ETL developers, data architects, data analysts and big data enthusiasts interested in a higher comprehension of big data; some knowledge of big data or data science, data warehouse, ETL, or any of the applications/software used in the industry today would be ideal
Project managers, Business Intelligence or ETL developers, data architects, data analysts and big data enthusiasts interested in a higher comprehension of big data; some knowledge of big data or data science, data warehouse, ETL, or any of the applications/software used in the industry today would be ideal
