Understanding Data Migration Techniques and Best Practices
Data Migration involves extraction, transformation, and loading. Comprising the following steps
Modification of Workflows and processes
Integration with existing solutions
Implementation into the new system
The primary flow of data migration involves
Challenge for Data Migration and Application Performance
Application Performance Issues while migrating massive amounts of data during Data Migration.
Lack of visualization of Data Migration in Real-Time to monitor the load and throughput of Data Pipeline.
No mechanism to validate migrated data to Hadoop on a daily basis.
Secure remote access to Data Migration Tool.
Solution Offered to Build Data Migration Platform
Develop a Data Migration platform and analyze Hive queries with the latest technologies and distributed Agile Development methods.
Build A Data Migration Platform To Migrate Data From Oracle To Hive.
Increase Hive Query Performance.
Predictive Analysis Applications in Retail
Predictive Analysis along with Retail have leveraged the power of Big Data by providing improved customer service, targeted promotions, Decision Making, and Supply Chain Analytics.
Real-Time Applications of Predictive Analysis in Retail involve
Customer Behaviour Analytics
Fraud Detection and Prevention
Increase in Risk management, Precise Marketing and Loss prevention in predictive analysis with Retail has led to improved marketing and customer engagement, price optimization, data-driven insights with the best use of statistical algorithms, data mining, and Machine learning techniques.
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