Your organization’s data is its most valuable asset.
Data analytics and reporting are critical for business success. But big data has traditionally required big overhead. The drawback of having so much data at your disposal is the impact it has on database performance. When data must be accessed for big data projects, reports, ad hoc queries and more, I/O contention occurs on your production system. This dramatically slows database performance. And that means lost productivity, frustrated end users and a negative impact on your bottom line.
So how do you access data from the production database without affecting database performance?
Expensive hardware upgrades or maintaining several databases exclusively for reporting and analytics may seem like good ideas. But these approaches only increase the cost of doing business. You need a more affordable, impact-free approach to access business-critical data.
You need to offload reporting and analytics
By offloading reporting and analytics, you can easily and affordably tap into the full potential of your data – without sacrificing database performance. You can use data replication for offloading reporting to a separate system, without purchasing and maintaining dedicated databases just for analytics. This technique allows you to split online transaction processing and database reporting to a data warehouse instance that is constantly maintained to reflect the activity on the production system. That means business users and data scientists can analyze and report on accurate, real-time data without creating database contention. This approach also helps with a number of additional scenarios.