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Reading Time: 3 minutes The strength of Hadoop and NoSQL systems in supporting big data systems is indisputable. These big data technologies are designed, built, and optimized specifically for large-scale and high-performance environments. Their support for massively parallel hardware architectures and cheap commodity hardware…
Reading Time: 4 minutes It seems at present there is huge amount of hype on big data and the concept of a data lake related to data virtualisation. Already however there is confusion as to what a data lake is with multiple different definitions…
Reading Time: 3 minutes Many organizations deploy data virtualization servers in business intelligence (BI) systems to integrate data sources. In fact, this is such a popular use case that some mistakenly think that BI is its only use case. From the start, data virtualization…
Reading Time: 3 minutes Recently there has been a lot of discussion around the concept of the logical data warehouse. What is the cause of this buzz? Why are logical data warehouses so important for data professionals? To understand this, we first need to…
Reading Time: 4 minutes First there was EII (Enterprise Information Integration) otherwise known as data federation. Data federation technologies allow one central data store (virtual or physical) to link to one or more remote data sources. The central store allows the consuming application to…
Reading Time: 2 minutes Big data has entered many companies’ data centers and is already transforming whole business models. The grade of adoption varies from initial test and educational projects towards fully-fledged big data landscapes; on-premise or leveraging the flexibility and power of cloud…
Reading Time: 5 minutes If you check the reference logical architectures for big data analytics proposed by Forrester and Gartner, or ask your colleagues building big data analytics platforms for their companies (typically under the ‘enterprise data lake’ tag), they will all tell you…
Reading Time: 5 minutes Imagine you’ve been walking in the Alps on a hot summer’s day, you’ve reached the highest point of your trek and you come across the crystal clear water of a mountain lake, who wouldn’t want to jump in? In the…
Reading Time: 2 minutes Some might think that data warehouses are outdated and unnecessary, because today you can store large volumes of data quickly and easily in a data lake or a data reservoir. I think this is a bit short-sighted. How can you…
Reading Time: 3 minutes Logical data warehouses, driven by data virtualization, are the force of the future. Yet while many BI specialists have embraced the logical data warehouse in theory, they struggle with the actual practical application of data virtualization. Some seem to feel…
