Tag
Reading Time: 3 minutes Organizations all over the world are migrating their IT infrastructures and applications to the cloud. Organizations are leveraging cloud analytics to extract useful insights from big data, which draws from a variety of sources such as mobile phones, Internet of…
Reading Time: 2 minutes Recently, we have seen the rise of new technologies like big data, the Internet of things (IoT), and data lakes. But we have not seen many developments in the way that data gets delivered. Modernizing the data architectures is the…
Reading Time: 3 minutes Organizations are rethinking their current data architectures. Unfortunately, the majority considers it a challenge. Obviously, one of the reasons is that they don’t do this every day. Also, insights about how to design them has changed over time. This article…
Reading Time: 7 minutes In his recent blog post, Angel Vina, the founder and CEO of Denodo Technologies, introduced the Denodo Coronavirus Data Portal (CDP). He talked about why we, as a company, undertook this initiative to help fight the Coronavirus pandemic. Angel explained…
Reading Time: 3 minutes The star of SnowflakeDB keeps rising. This cloud-based, analytical SQL database server offers a set of powerful features, not in the least of which is high performance, end-to-end encryption, cloud platform independency, a self-driving engine, automatic scalability (up or down),…
Reading Time: 3 minutes Apache Spark and data virtualization enables us to extract data from heterogeneous data sources, integrate and process that data, and make it available for a wide range of reporting and analytics tools. Both do so without the need to store…
Reading Time: 4 minutes Alice Well’s early successes as CIO at Advanced Banking Corporation (ABC) in solving the old problem of getting real-time data (Gaining Real Time Insight) to the call center and the newer opportunity presented by the data lake (A Warehouse in…
Reading Time: 3 minutes Businesses are drowning in data, making it difficult to maintain consistency, identify “good” data, or derive valuable insights from it. To stay innovative, businesses have been implementing multi-cloud infrastructures, many of which also incorporate on-premises systems. However, when data is…
Reading Time: 3 minutes Some still see data virtualization as an alternative technology to ETL. For them it’s nothing more than another style of data integration. However, data virtualization is much more. Data virtualization is about abstraction. It’s about data consumers being decoupled from…
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…
