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Reading Time: 2 minutes Some might think that data warehouses are outdated and unnecessary, because today you can store large volumes of data quickly and easily in a data lake or a data reservoir.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 As governments worldwide aim to become smarter like Dubai, Barcelona or Singapore, their ultimate goal is to become percipient, astute, shrewd, and quick. That means that smart city governments need to use emerging technologies like Big Data and Internet of…
Reading Time: 3 minutes Global property investors, asset managers and loan companies collect data about their commercial real-estate portfolios as part of their day to day operations. This data will include details of properties, tenants, income, expenditure, rent escalation terms, costs and revenue, etc….
Reading Time: 5 minutes While companies focus on obtaining a holistic view of their data to make insight-driven decisions, chief data officers struggle with the uncontrollable growth of hundreds of data silos and different information systems that prevent them from delivering true business value….
Reading Time: 2 minutes It’s funny – only a few weeks ago, I was at Informatica writing about Master Data Management (MDM) and how businesses gained a complete view of their customers by combining the single view of customers, sitting within the MDM system,…
Reading Time: 2 minutes One of the biggest headaches that big corporations face is how to provide a unified view of data across regions. Most of them have grown as a result of acquisitions of regional companies that in many cases operate independently and…
Reading Time: 2 minutes Data caching modes – when and how to use them. Intelligent data caching is a key capability of an enterprise-class Data Virtualization platform and, working in tandem with real-time query optimization and scheduled batch operations, is one of the key…
Reading Time: 2 minutes Big Data Warehouses require Hybrid Data Storage There’s no stopping the big data revolution. The potential business advantages are clear. Big data systems make advanced forms of analytics possible that allows organizations to optimize business processes, increase customer delight and…
Reading Time: 2 minutes Data virtualization is being used in everything from small projects that are in need of quick data access, as part of bigger application or data warehousing project, as an enterprise-wide semantic or common data layer or any combination thereof. The…
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…
