 |  |  | | EBOOK: BUILDING AN ENTERPRISE-GRADE DATABASE ARCHITECTURE FOR MISSION-CRITICAL, REAL-TIME APPLICATIONS | | A new generation of applications is emerging, spawned in large part by the convergence of big data, mobile computing, social media, and the Cloud. This new generation of applications, also known as “systems of engagement,” connect customers, employees, suppliers, and business partners in real time. The need for speed and enormous scale that characterize systems of engagement has exposed gaps in legacy database technologies that pose significant challenges for deployment teams tasked with ensuring that all system components integrate efficiently and reliably. Download this white paper to learn how to modernize your enterprise database architecture. | | DOWNLOAD PDF | | | |  | | WHEN, WHERE & WHY TO USE NOSQL? | | Using NoSQL does not necessarily involve scrapping your existing RDBMS and starting from scratch. NoSQL should be thought of as a tool that can be used to solve the new types of challenges associated with big data. Download this white paper to understand the key issues NoSQL can help enterprises solve. | | DOWNLOAD PDF | | | |  | | THE ROLE OF METADATA IN A DATA GOVERNANCE STRATEGY | | Since the early 2000's there has been a combination of factors that has challenged the business world to engender a greater awareness about the quality and usability of information. Examples include recovering customer trust in the wake of financial scandals as well as facilitating the creation of public data sets resulting from government mandates for data transparency. In turn, these activities that must be contrasted with organizations seeking to adopt big data management platforms to analyze massive data volumes to create corporate value. | | DOWNLOAD PDF | | | |  | | OPERATIONALIZING DATA GOVERNANCE WITH LIVING METADATA | | As combinations of both internal and externally-imposed business policies imply dependencies on managed data artifacts, organizations are increasingly instituting data governance programs to implement processes for ensuring compliance with business expectations. One fundamental aspect of data governance involves practical application of business rules to data assets based on data elements and their assigned values. Yet despite the intent of harmonizing data element definitions and resolution of data semantics and valid reference values, most organizations rarely have complete visibility into the metadata associated with enterprise data assets. | | DOWNLOAD PDF | | | | | |
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