Quality & Security of Big Data Operations
Big Data
| Intermediate
- 10 Videos | 42m 7s
- Includes Assessment
- Earns a Badge
To be of any use, data must be accessible, accurate, and secure. Examine methods for application and performance testing, as well as data testing, prevention, and preservation.
WHAT YOU WILL LEARN
-
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
IN THIS COURSE
-
1.Data Warehousing vs. Big Data Testing3m 17sUP NEXT
-
2.Methods of Testing Big Data Applications2m 55s
-
3.ETL And Data Warehouse Testing Principles2m 47s
-
4.Performance Testing4m 4s
-
5.Testing Big Data Loads3m 18s
-
6.Testing Big Data with Hadoop Ecosystem5m 1s
-
7.Biggest Problems with Big Data Today5m 41s
-
8.Data Leakage4m 25s
-
9.Prevention and Preserving4m 32s
-
10.Exercise: Test Big Data1m 36s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion of this course, which can be shared on any social network or business platform
Digital badges are yours to keep, forever.
