Reading Time: 3 minutes I recently read an excellent article “A Strategist’s Guide to the Internet of Things” by Strategy & (formerly Booz & Company), which prompted me to think about what the Internet of Things for data strategists and data professionals. As we…
Reading Time: 2 minutes The New Year brings a complex environment for enterprises. The rapid growth of big data presents enormous challenges for organizations. And the volume of data is expanding at an alarming rate with data production expected to be 44 times greater…
Reading Time: 2 minutes Big Data is not always Big Information Organizations don’t need big data, they need big information. Let me explain. Years ago, my professors taught me the critical difference between data and information. Data are raw unorganized facts that need to…
Reading Time: 2 minutes Tackling fraud and waste with Data Virtualization In many organizations, getting a complete view of their operations is a challenging task. Information is scattered across multiple locations and multiple systems – each providing a glimpse of operations but, usually, not…
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 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: 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: 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: 3 minutes Real-world big data use cases have moved beyond “possibilities” to multiple use patterns including analytics and low-cost archival storage of large datasets. In all cases, big data is thought of in an ENTERPRISE sense, even if big data analytics that is performed…
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…
