Oracle AI World 2026 took place in October and was extremely well attended. There was a palpable sense of anticipation among attendees. By now, most people have had their own experiences with AI, and most companies have dabbled with it. This year, they arrived ready for what’s next – and ready to get real about…
Read MoreAnalytics Blogs
Power BI Security and Row-Level Access in Enterprise Organizations
Who This Article Is For Power BI adoption is growing in organizations across many industries. But with this expansion comes the need for a greater emphasis on security. A missing security layer can expose financial results, customer records, or employee data to the wrong people in seconds. As Power BI adoption grows across an organization,…
Read MoreTop 5 Reasons Oracle Customers Choose Fusion Data Intelligence
If you run Oracle Fusion Cloud Applications and need analytics, you will eventually face a fork in the road. Do you build an analytics platform from scratch, or do you leverage something pre-built? It is a fair question, and I hear it constantly from IT and business leaders who are proud of their internal teams…
Read MoreFrom Question to Dashboard: AI-Powered Data Analysis with Oracle APEX
Business Intelligence and reporting solutions have become a standard component of modern business applications. However, creating new reports and analyses often remains a time-consuming process. Business users typically need to navigate through existing dashboards, request new reports from the IT department, or rely on technical expertise to extract the information they need. The rise of…
Read MoreThe Future of Decision Intelligence
Every Monday morning, somewhere in the world, a manager opens a dashboard. Revenue is down 12%. Headcount costs are up. The chart is red. But the dashboard stays silent on the most important question: what should we do about it? Across the data, analytics, and AI space, the last decade rewarded visibility. We built faster…
Read MoreMicrosoft Fabric: Turning Disconnected Retail Data Into a Trusted Analytics Foundation
Most retailers don’t lack data. They lack consistency. Sales sit in one system, inventory in another, and customer complaints in a third. The result is conflicting dashboards and meetings that start with debate instead of decisions. Microsoft Fabric solves this by uniting ingestion, storage, transformation, modeling, and reporting in one platform. By landing data in…
Read MoreDemystifying AI Applications – How to Create AI Applications using RAG and Predictive Models
As AI gains momentum, more business leaders are asking about AI applications. In most industries, the implementation of AI systems and programs seems inevitable. Even so, leaders in every industry have many questions about these programs, including: Are they real? Can they be built without massive budgets? Do they actually work? At the same time,…
Read MoreNear real-time: on the edge of OLTP and OLAP. Part 2
In the evolving landscape of global data management, the demand for near-real-time data processing is pushing the boundaries between traditional Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) systems. In the first part of this series, we established a foundational architecture using Kafka to meet specific customer requirements for data immediacy. Now, we advance…
Read MoreCustomer Use Case: Near real-time processing
Nowadays, more and more companies require real-time data processing. There are many software vendors on the market offering real-time platforms and streaming solutions. But what can be done when classic OLAP (Online Analytical Processing) need to be processed in real time? For example, consider the following SQL query: select dept.name as dept_name, emp.name as emp_name…
Read MoreHandling Hard Deletes from the Source System
Dealing with data can feel like walking a tightrope—maintaining accuracy and consistency while avoiding unnecessary losses is a challenge every organization faces. When working with real-time data systems, the way you handle deleted data often determines the integrity and usability of your datasets. This post dives deep into hard and soft deletes, the challenges of…
Read More