Reading Time: 2 minutes The concept of big data is funny to me. It is funny because there isn’t any small data when it comes to large corporations. 99% of the companies we work with have big data and it is getting bigger. Companies’…
Reading Time: 3 minutes 2018 is exactly thirty years since I published the first data warehouse architecture. The core concepts of the architecture remain strong and viable. However, the evolution of both business needs and technology solutions over the intervening decades has led to…
Reading Time: 6 minutes In the previous article we reviewed the architectural elements of the virtual data lake, dug deeper into its technical implications. In this post, we will review the architectural elements of the virtual data lake, and will discuss why a virtual…
Reading Time: 4 minutes Believe it or not we are now over 25 years into building data warehouses and many companies around the world have very well-established systems supporting query, reporting and analysis of historical master and transaction data that has been captured from…
Reading Time: 3 minutes Today’s data economy depends on the data generated by people, and increasingly by the devices, appliances, and machines that make up the IoT. Data is enabling the granular targeting of people’s affinities, so people are expecting more personalized products. Although…
Reading Time: 3 minutes Public clouds and on-premises data centers can now be strategically connected via a strong hybrid architecture, simplifying data integration. If you are in the process of building a virtual data services layer across all of your disparate data sources in…
Reading Time: 3 minutes Organizations are challenged by a complex mix of data sources, so they struggle to harness trusted, actionable insights in a timely manner. To more effectively keep up with business expectations, they need a nimble technology like data virtualization, which enables…
Reading Time: 2 minutes Ever since 2015, when the price of oil dropped precipitously, oil and gas companies have had to find every opportunity to reduce expenses while maximizing every available revenue source. For Anadarko Petroleum Corporation, this meant transforming its analytics capabilities, which…
Reading Time: 3 minutes Neudesic and Denodo Accelerate Adoption of Hybrid Cloud Solutions Using Data Virtualization Companies that leverage data virtualization can quickly achieve their data and analytics goals, but the companies that get there first begin with a solid understanding of their desired…
Reading Time: 3 minutes Having advanced caching mechanisms is a key capability of an enterprise-class Data Virtualization platform. Cache in a data virtualization environment is used in different situations: Protect the data source from excessive loads or spikes of queries Avoid performing complex and/or…
