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Reading Time: 4 minutes As C-level executives managing different lines of business, our duties could be varied, but we are all driven by one common goal—to generate profit for the company. And there is always pressure to do it faster—demanded by the CEO. Data…
Reading Time: 4 minutes Complex questions that need simple … but not simplistic … answers. Update: make sure you also read the second part of this content. Data Virtualization Performance and Source System Impact (Part 2) Within sixty seconds into a data virtualization conversation,…
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: 4 minutes Why 80% of data lakes fail and what you can do about it. The issues and implications of Brexit are all over the news … regionalism vs globalism, independence vs shared governance and regulation, closed vs open borders … and…
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: 3 minutes There has been a lot of rhetoric around how data is the new oil and why it is the most critical asset and a resource that an enterprise owns. No doubt, enterprise data, today, is business capital. However making meaningful…
Reading Time: 5 minutes Business Intelligence (BI) is critical for the success of today’s enterprise. However, many companies still struggle to figure out how to use analytics to take advantage of their data. It is not the informational BI tools they have; it’s simply…
Reading Time: 4 minutes Use Cases for Data Virtualization in the Cloud As more and more enterprise data moves to the cloud, it has become necessary for data integration initiatives to think past the earth-bound data center, where all enterprise data has been living…
Reading Time: 6 minutes One could almost call it tunnel vision. The way that we consistently hold on to one way in which to fulfil each and every need for information: data copying, transformation and integration in one physical database. We consider it almost…
