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Reading Time: 3 minutes Regulatory compliance keeps getting more complex. Facing a range of regulations covering privacy, such as the General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA), to financial regulations such as Dodd-Frank and Basel II, to…
Reading Time: 2 minutes Data mesh is a modern, distributed data architecture in which different domain based data products are owned by different groups within an organization. And data fabric is a self-service data layer that is supported in an orchestrated fashion to serve…
Reading Time: 2 minutes In the ever-evolving landscape of data management, one concept has been garnering the attention of companies and challenging traditional centralized data architectures. This concept is known as “data mesh,” and it has the potential to revolutionize the way organizations handle…
Reading Time: 6 minutes Organizations today have an opportunity that’s too good not to seize. If they could access the full wealth of their data that is distributed across cloud and on-premises systems, they could leverage enterprise data to achieve several compelling benefits. These…
Reading Time: 3 minutes Digitization has been a boon for financial services, bringing the industry into a new age. However, it has also brought massive and growing data volumes that can be either a goldmine or an indecipherable pool, depending on each organization’s ability…
Reading Time: 4 minutes Some say that data is the new “black gold,” but I believe that just like crude oil, data has little value until you extract it, refine it, and put it to use. In this post, I will share some of…
Reading Time: 2 minutes In today’s increasingly fractured data environment, data is dispersed across multiple on-premise and cloud environments. In such scenarios, it is unreasonable to believe that all of an organization’s data will be stored in a single repository. With this now being…
Reading Time: 4 minutes An organization’s data consists of an extensive network of spreadsheets, databases, graphs, and charts. However, such resources are just the connecting dots in a vast data ecosystem. Before we look at how modern data ecosystems can drive business value, let’s…
Reading Time: 3 minutes One of the biggest challenges for organizations is to integrate data from various sources. Despite modern advancements such as big data technologies and cloud, data often ends up in organized silos, but this means that cloud data is separated from…
Reading Time: 3 minutes At the heart of every organization lies a data architecture, determining how data is accessed, organized, and used. For this reason, organizations must periodically revisit their data architectures, to ensure that they are aligned with current business goals. Here, as…
