| | | | | | | | |  | | | | Top Story |  |  | | |  | | | | Data Protection: One Size Doesn’t Fit All | | | | When it comes to data protection, every business environment has a unique set of requirements and needs, whether they are looking to secure legacy applications, mobile data, cloud apps, virtualized environments, or any number of different workloads. Unique data requires a unique solution, and yet countless vendors are advertising one-stop solutions described as “one-size-fits-all.” But buyer beware: When something seems too good to be true, it usually is, and an easy, one-size-fits-all solution may save you some short term time and money, but can result in major headaches and unforeseen costs in the long run. | | | | Read Full Story | | | | | | | | MUST HAVE DOWNLOADS | | | | | | EBOOK: SIX REASONS TO UPGRADE YOUR DATABASE
HADOOP AND THE MODERN DATA SUPPLY CHAIN
MONGODB: IS IT RIGHT FOR YOU?
FAST DATA FRONT ENDS FOR HADOOP
PREPARING FOR THE INTERNET OF THINGS
FIVE KEY TRENDS DRIVING ENTERPRISE ARCHITECTURE INTO THE FUTURE
EMBRACE SELF-SERVICE DATA PREPARATION TOOLS FOR AGILITY, BUT GOVERN TO AVOID DATA CHAOS
DRIVING BUSINESS VALUE FOR ORACLE ENVIRONMENTS WITH AN ALL-FLASH STRATEGY
FROM MAINFRAME TO NOSQL WITH MARKLOGIC AND INTEL
GARTNER REPORT- THE RISE OF THE OPERATIONAL DBMS MARKET | | | | | | | News, Columns & Features | |  | | | | | | | Essential Tips on SQL Server Database Performance | | | | As data volumes continue to explode, DBAs must constantly stay a step ahead by finding new ways to improve database efficiency and performance. Managing data in today's complex IT environment requires creative approaches to a number of different DBA processes. Here are some useful tips in five main categories that can help DBAs keep their heads above water and allow their companies to more effectively utilize their data to drive business value. | | | | Read Full Story | | | | | | | Data Modeling: A Balancing Act of Conflicting Objectives | | | | Data modelers need to look at the big picture of an organization's data ecosystem to ensure additions and changes fit in properly. Simultaneously, each data modeler must be focused on the minute details, adhering to naming standards, domain rules, data type practices, still remaining ever vigilant for instilling consistency across everything they do. And while focused on all of the above, their efforts must culminate in a practical model that serves the individual project's requirements while also being implementable, maintainable, and extensible. | | | | Read Full Story | | | | | | | Dell SharePlex Supports Ticketmaster’s High Performance | | | | As the largest ticketing agency in America, Ticketmaster is responsible for processing between 150,000 and 300,000 transactions a day, and 5,000 transactions a minute during peak times. To service its customers, Ticketmaster has used Dell’s SharePlex for replication and high availability to support its online sales since 2002. | | | | Read Full Story | | | | | | | Data Analysis Stalls When Companies Can't Find Critical Datasets | | | | Today, putting together a data-driven business plan requires an organization to ask some hard questions about whether it can actually locate its own data. The ability to find data is particularly important for Global 1000 companies pursuing Industrial Internet-related innovation. Finding data often burns huge amounts of time and effort—engineers spend more than 15% to 20% of their time searching for critical files. | | | | Read Full Story | | | | |
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