1. Big Data & Test Automation

2. Agenda What is Big Data? Big Data architecture Big Data technologies
Testing strategy
Functional test automation on data warehousing

3. What is Big Data
Is it just huge amount of data ?

4. What is Big Data

5. Why do we need Big Data For Effective marketing
To make better business decision
To gather customer feedback
Attain customer satisfaction
Increase revenue

6. Why do we need Big Data

7. 4 V’s of Big Data

8. Big Data Architecture

9. HDFS( Hadoop Distributed File System)
Big Data Technologies
HDFS( Hadoop Distributed File System)

10. Big Data Technologies Map Reduce – Framework
Map - Perform filtering and sorting on data sets
Reduce - Perform summary operation on map step result
Hbase
HBase is a column-oriented database management system
Hive
Data warehousing infrastructure for Hadoop.
Data summarization, query and analysis
Pig
To create MapReduce programs used with Hadoop

11. Big Data Ecosystem Testing Big Data Extraction Testing
Test Strategy
Big Data Ecosystem Testing
Big Data Extraction Testing
Pre-Hadoop Validation
Meta Data Analysis and Validation
Impala & HDFS Data Storage Validation
Validation on Data Extraction from Source
Referential Integrity & Constraint Validation
Heterogeneous Data Integration Validation
Big Data Ecosystem Testing
Non Functional Testing
Big Data Testing
Big Data Extraction Testing
Data Transformation /Migration Testing
Data Analytics and Visualization Testing
Data Transformation/Migration Testing
Data Quality Validation
Data Correctness/ Completeness Validation
Business Rule Validation
Big Data Tools
Query Surge - Functional
Data analytics and Visualization Testing
HDFS to SSAS validation
Dashboard Validation
Visualization Validation
Report generation and Validation
Non Functional Testing
Performance Validation
Security Validation

12. Query Surge Tool

13. Conclusion

14. Thank You