Are you unable to scale your compute platform to meet the current growth in data , is it difficult to handle multiple data types in an era of IoT and Big data? All these questions will come up in your mind and distract you away from your business goals.
First let’s talk about Data warehouse (DWH) and what is your business needs from your enterprise data collection.
DWH is a set centralized data repositories that integrate data from various transactional, legacy, or external systems, applications, and sources. The data warehouse provides an environment separate from the operational systems and is completely designed for decision-support, analytical-reporting, ad-hoc queries, and data mining. This isolation and optimization enables queries to be performed without any impact on the systems that support the business’ primary transactions (i.e transactional and operational systems) .
So it's time to think about complete solution for consolidating and putting data to use with analytics that empower your entire organization to ask any questions of any data type at any given time.
I think this is your primarily objective reaching that level of DWH perfection along with your data analysis capabilities.
Let’s see what Oracle DW Cloud services can offer:
Autonomous Database cloud service for Data warehouse - Fully automated database for self-tuning, patches , upgrade itself while the system is running and adaptive caching and indexing all powered by Oracle Exadata engineered infrastructure.
Highly Elastic Compute platform - Prefigured compute and storage shapes can instantly scale up /Down.
Built-in web-based SWL tool - Ready made tool optimized to run from your browser.
Enterprise grade security - Data encrypted by default in the cloud as well as in transit.
Today’s leading firms differentiate themselves through analytics, these pioneers leveraging their competitive advantage by extracting value from all their data sources so let’s see what are the benefits behind a successful DW implementation.