Oracle RAC on Azure
An Azure datacenter is built on a globally distributed infrastructure, which contains numerous layers of redundancy and a resilient interconnected network. This is far superior to an on-prem datacenter because it HAS TO BE. Geo-regions are fault tolerant in case of complete regional datacenter failure, which means the way we architect for the cloud is often different than the way we architect on-prem.Bring Vision to Life with Three Horizons, Data Mesh, Data Lakehouse, and Azure Cloud Scale Analytics
Bring Vision to Life with Three Horizons, Data Mesh, Data Lakehouse, and Azure Cloud Scale Analytics – Plus some bonus concepts! I have not posted in a while so this post is loaded with ideas and concepts to think about. I hope you enjoy it! The structure of the post is a chronological perspective of 4 recent events in my life: 1) Camping on the Olympic Peninsula in WA state, 2) Installation of new windows and external doors in my residential house, 3) Injuring my back (includes a metaphor for how things change over time), and 4) Camping at Kayak Point in Stanwood WA (where I finished writing this). Along with these series of events bookended by Camping trips, I also wanted to mention May 1 st which was International Workers Day (celebrated as Labor Day in September in the US and Canada). To reach the vision of digital transformation through cloud scale analytics we need many more workers (Architects, Developers, DBAs, Data Engineers, Data Scientists, Data Analysts, Data Consumers) and the support of many managers and leaders. Leadership is required so analytical systems can become more distributed and properly staffed to scale vs the centralized and small specialist teams that do not scale. Analytics could be a catalyst for employment with the accelerated building and operating of analytical systems. There is evidence that the structure of the teams working on these analytical systems will need to be more distributed to scale to the level of growth required. When focusing on data management, Data Mesh strives to be more distributed, and Data Lakehouse supports distributed architectures better than the analytical systems of the past. I am optimistic that cloud-based analytical systems supported by these distributed concepts can scale and progress to meet the data management, data engineering, data science, data analysis, and data consumer needs and requirements of many organizations.Data Architecture and Designing for Change in the Age of Digital Transformation
Change is constant whether you are designing a new product using the latest design thinking and human-centered product development, or carefully maintaining and managing changes to existing systems, applications, and services. In this post I would like to provide both food for thought related to data architecture and change, as well as provide exposure to a practical analytics accelerator to capture change in data pipelines. Along the way I also want to discuss a couple of terms often referenced in data management and analytics discussions: 1) One Version of the Truth, and 2) Data Swamp. I have never liked either of these terms and will try to explain why realistically these are loaded, misleading, and rather biased terms. Here is the Analytics Accelerator on Change Data Management https://github.com/DataSnowman/ChangeDataCaptureUsing Microsoft R in your Solutions
R is a powerful data language with thousands of "packages" allowing you to extend its uses for Data Science, Advanced Analytics, Machine learning and much more. Microsoft has enhanced this language with a Distribution called "Microsoft R Open". Read on to learn more about this powerful tool you can use stand-alone, or embedded in several Microsoft products.Oracle on Azure- Unix to Linux and Options
There are a lot of Oracle databases out there on Unix that may be holding customers back from going to the cloud. It’s not uncommon to find many Oracle databases for our customers running on HP-UX, AIX, Solaris, or another Unix platform. What options are there to bring these to Azure? Read this blog post and find out!
