Category
Reading Time: 2 minutes I recently attended Business Technology Forum by Forrester Research in Florida. As the event title indicates business and technology cross-over more than ever, just as software-as-a-service (SaaS) applications have done for operations, and now self-service business intelligence (Self-Service BI) and…
Reading Time: 2 minutes At a recent NYC roundtable panel for Chief Data Officers, global Business Process Management (BPM) company, WNS, mentioned that they see common pain points across their customer spectrum. Namely, that big data and the IoT are creating an exponential growth…
Reading Time: 3 minutes It’s 2015. Traditional software development decided long ago that the only sane way of developing code is to manage it through a version control system. As of today, there are many different possibilities for managing code versioning, either centralized or…
Reading Time: 3 minutes Update: Interested in data virtualization performance? Check out our most recent blog posts, “Performance of Data Virtualization in Logical Data Warehouse Scenarios” and “Physical vs Logical Data Warehouse Performance: The Numbers.” The topic I probably get asked most about…
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 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 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…
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…
