Big Data collection is taking center stage with people and businesses rapidly shifting to digital technologies amid the COVID-19 crisis. When collected, stored, and analyzed properly, it allows organizations to glean new insights. However, there are also limitations to Big Data analytics. If a business is amassing Big Data without a concrete strategy, all that data may end up unused or even underutilized.

DBcloudbin supports Oracle ‘s Autonomous DB, its flagship Cloud database product. Autonomous adds some new and interesting features, as its DBA automation capabilities, while defining some subtle differences with a plain/old Oracle Std or Enterprise on-premises implementation. Those restrictions and limitations make a non-obvious task implementing a tightly integrated solution as DBcloudbin, so let’s go trough a step by step process.

A large-scale database represents a huge cost savings opportunity, but massive data migration is always a challenging scenario. Take a look on the tools we have created for assisting on that scenario for reducing risks and automate the process for additional cost reduction.

Here we continue our “DBcloudbin flipped over series” with the details of a sample app configuration based on Oracle APEX framework, using DBcloudbin not for extracting content out to the Cloud, but the exact opposite. A simple way to enhance our business applications for accessing to Cloud content without any integration with cloud APIs.

DBcloudbin supports the most relevant object store technologies both Cloud and on-premise. In this post we discuss the specific settings for using Oracle Cloud Infrastructure (OCI) as target storage.

In this post we want to provide the essential vision on the fundamental question: « Why DBcloudbin? ».
We believe there is room for intelligent data management solutions, helping customers on dealing with an ever growing data volume. Here are the details.