While engaging with multiple US Government agencies at our recent Informatica World Tour in Washington, DC, two things were made abundantly clear; data leaders have come a long way in beginning to leverage data as a strategic asset, but many also have a long way to go and face several strategic barriers which I’ll discuss.... more
Recently, I read an insightful report from McKinsey and Company titled, “Catch them if you can: How leaders in data and analytics have pulled ahead.” From the title alone, I was hooked. Throughout the world at various data quality and governance centric events, I engage with data governance professionals that struggle with this very idea:... more
Every CIO of a large enterprise is thinking about their cloud strategy. Even if they are not moving to the cloud right now, they are most certainly planning for it at some time. Sometimes, it’s simply not feasible nor realistic for an enterprise to move everything to the cloud immediately and retire their existing infrastructure.... more
How today’s businesses are gaining new customer insights through analytics while meeting the growing challenge of modern privacy mandates A global footwear manufacturer was recently in the news over a shoe design controversy that polarized consumers between patriotism and social justice activism. When jumping into the debate, a common conclusion is often, “Hey, they KNOW... more
Cloud computing has gained a lot of attention in the last decade since Amazon Web Services (AWS) first launched in 2006. Amazon has been the undisputed leader in the fundamental shift in the delivery of products and services to end customers ever since, but its dominance is now being challenged by an aggressive push by... more
Data quality is not a new problem. Then again, for the past few decades, the quality of data was mainly considered in the context of data warehousing and operational systems. However, with the ever-increasing volume and variety of data, data lakes to store structured and unstructured data at scale, and the resurgence of machine learning,... more
Serverless is a cloud architecture that allows you to be free of managing servers, virtual machines (VMs), or containers. Serverless does not mean there are no servers involved (servers are still used for running applications). It simply means that you do not have to interact with or control the servers involved in the architecture. Serverless... more
We all understand the importance of deriving the right insights from our data. In order to stay competitive and thrive in today’s business climate, organizations need to have a holistic, 360-degree understanding of their customers and their operations. Sometimes, however, we can often get carried away with the whole process of collecting and interpreting our... more
Today, Microsoft announced its Azure Synapse Analytics offering that combines two core use cases for modern analytics into a single platform: cloud data warehousing and big data analytics. Extending the power of Azure SQL Data Warehouse with the parallel processing, in-memory performance of Spark, and a unified development environment, Microsoft has raised the bar for... more
Microsoft’s Azure Cosmos DB provides the enterprise tremendous capability when building globally available applications, especially when low latency, consistency, and redundancy are critical success factors. But as with nearly any globally available enterprise solution, it usually requires a composite set of technologies to work together in harmony. Solutions built with Azure Cosmos DB will most... more