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Reading Time: 3 minutes The last couple of years have seen successful Hadoop deployments in large companies as the established paradigm for Big Data scenarios. One of the most popular architectures in this new ecosystem is the so-called “data lake”. In short, the idea…
Reading Time: 2 minutes Breathe new life into your ETL Processes In many organizations, data integration still means using ETL processes to perform the traditional heavy-lifting of data replication and consolidation. While ETL is a tried and tested method for consolidating structured data into…
Reading Time: 3 minutes You’ve undoubtedly heard the (tired) definition of big data involving the three “Vs” for volume, variety, and velocity. Now there’s a growing movement to associate a fourth V-word with big data sets: virtualization. But what is data virtualization? For years,…
Reading Time: 2 minutes While Big Data Analytics has become all the rage over the past few years, another technology also has entered the mainstream: Data Virtualization. Data Virtualization is the process of abstracting different data sources through a single data access layer which…
Reading Time: 2 minutes Data virtualization benefits impact on both the business and IT. It delivers value in a relatively short period and keeps paying back over time. From a business perspective, getting integrated information faster has resulted in numerous benefits including better customer…
Reading Time: 5 minutes Disclaimer: The author felt compelled to share some ideas that emerged at a Buddhist Vegan restaurant in Palo Alto, CA after a conversation on big data and data virtualization with analysts from a top CIO membership organization. The author claims…
