Last month, we solved a crisis for a retail CIO who called me at 2 AM. His Oracle-to-Snowflake replication had been running “fine” for three weeks—until his inventory manager noticed their stock reports hadn’t updated since 6 PM the previous day. Twelve hours of missing
“Our Oracle databases are drowning in decades of business data, and our analysts are spending more time waiting for reports than analyzing them. We need to get this data into Snowflake for real-time analytics, but we can’t afford any disruption to our production systems.” Sound
The $73 Million Question Every Executive is Asking: “Why Isn’t Our Snowflake Investment Paying Off?” Look, I’m going to tell you something that’ll change how you think about analytics. Your competitors aren’t beating you because they have better data. They’re beating you because their Oracle
June is designated as Post-Traumatic Stress Disorder (PTSD) Awareness Month, a period dedicated to acknowledging and providing support for those afflicted with this condition. Drawing upon experiences as a military veteran and current Owner/Founder role, I have witnessed the substantial impact of PTSD, which
As we approach AI projects, the statistics associated need to be viewed through a critical and strategic lens. The high initiation rate reflects the undeniable importance of AI for future competitiveness. However, the alarmingly high failure rate demands immediate attention. We must move beyond the
Google Next ’25 and AlloyDB Innovations The recent Google Next ’25 conference provided a deep dive into the Google Ecosystem, with a standout session focusing on AlloyDB’s latest advancements. Two particularly noteworthy innovations in both AlloyDB (cloud) and AlloyDB-Omni (on-premise) are poised to make a
This post we are going to look at some items related to getting started with Generative AI. This is mostly related to how I got started looking at GenAI and what I presented this year at the Rocky Mountain Open User Group (RMOUG). The presentation
Artificial intelligence (AI) is transforming how businesses operate, and one of the most exciting areas is Retrieval Augmented Generation (RAG). RAG allows AI models to answer questions and generate content by accessing and referencing external data, making them far more accurate and relevant. But for
Large Language Models (LLMs) have revolutionized many aspects of technology and business. However, the effectiveness and accuracy of these models are heavily reliant on the quality and currency of the data they are trained on. Feeding LLMs with fresh data is not just a best
Data governance and artificial intelligence (AI) are two powerful forces shaping the future of organizations. When combined, they offer immense potential but also introduce complex challenges. RheoData, the subject matter experts, will outline the positives and negatives of this intersection. Positives of Data Governance and
As AI Experts,RheoData understands the increasing integration of Artificial Intelligence (AI) into various aspects of business operations. With this integration comes the critical need to address AI ethics, particularly how AI should be used without bias to accomplish tasks set out by management. This post
Building a Data Governance Framework Data governance is crucial for any organization looking to leverage its data effectively. It provides a structured approach to managing, using, and protecting data assets. Let’s break down how to build a data governance framework in a simple and understandable
Data Governance with Oracle GoldenGate This document outlines how Oracle GoldenGate contributes to and supports data governance practices within an organization. Introduction Data governance is crucial for maintaining data quality, security, and compliance. Oracle GoldenGate, a comprehensive data integration and replication software, plays a significant
Data Governance Explained Data governance is the overall management of the availability, usability, integrity, and security of data in an organization. In simpler terms, it’s about making sure the right people have the right data at the right time, and that the data is accurate
In the dynamic landscape of modern technology, few fields hold as much promise and potential as Artificial Intelligence (AI) and Machine Learning (ML). These innovative technologies have revolutionized industries across the globe, from healthcare to finance, manufacturing to entertainment. The demand for AI and ML
Oracle GoldenGate has long been the go-to solution for real-time data integration, and with the release of Oracle GoldenGate 23ai, it just got even better. Packed with innovative features and enhancements, this latest version takes data replication and synchronization to new heights, empowering organizations to
What is LLMOps? LLMOps, or Large Language Model Operations, refers to the set of practices and tools used to manage, streamline, and operationalize large language models. LLMOps is a cross between LLM and MLOps. LLMs – are a type of foundation model that cna perform
The banking and financial services (BFSI) industry has entered a new era spearheaded by disruptive, tech-savvy and well-funded fintechs, expanding the boundaries of open banking. Organizations like Revolut, Robin Hood and Progressive Insurance have changed the model for their industry, and competitors—especially legacy enterprises—are
In today’s digital age, building data pipelines is a crucial aspect of enterprises across the globe. With businesses increasingly relying on data-driven insights to drive growth and innovation, an efficient, secure, and reliable Oracle GoldenGate strategy is more important than ever. That’s where RheoData ActivePass
If you work in the IT industry long enough, you start to see messaging or wording of items to repeat itself. In the case, we are going to take a look at the term “pipeline”. But what exactly is a “pipeline”? What is its purpose?