December 2012 - UPDATE
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Trends and Applications
For many years, enterprise data center managers have struggled to implement disaster recovery strategies that meet their RTO/RPOs and business continuity objectives while staying within their budget. While the challenges of moving, managing, and storing massive data volumes for effective disaster protection have not changed - exponential data growth and the advent of big data technologies, have made the challenge of disaster recovery protection more difficult than ever before.
The latest IOUG study on database security finds that there are measures that need to be taken to safeguard data from internal abuse; however, preventing privileged users from negligence or malfeasance is a serious challenge. According to this year's study, human error has beat out internal hackers or unauthorized users as the biggest security risk. In addition, more than half of respondents say their organizations still do not have, or are unaware of, data security plans to help address contingencies as they arise. These enterprise data security challenges, and more, are highlighted in a new survey of 350 data managers and professionals by the Independent Oracle Users Group. Underwritten by Oracle Corporation and conducted by Unisphere Research, a division of Information Today, Inc., it covered progress within three key areas of database security - prevention, detection, and administration.
Despite the rise of big data, data warehousing is far from dead. While traditional, static data warehouses may have indeed seen their day, an agile data warehouse — one that can map to the needs of the business and change as the business changes — is quickly on the rise. Many of the conversations today around big data revolve around volume and while that is certainly valid, the issue is also about understanding data in context to make valuable business decisions. Do you really understand why a consumer takes action to buy? How do their purchases relate? When will they do it again? Big data is limited when it comes to answering these questions. An agile approach — one that gives even big data a life beyond its initial purpose — is the value data warehousing can bring to bear and is critical to long-term business success.
Attunity Ltd., a provider of information availability software solutions, has officially launched Attunity CloudBeam, a fully-managed data transfer SaaS platform for Amazon Web Services (AWS) Simple Storage Service (S3). With its beta completed, the high-performance data transfer solution was unveiled and demonstrated live at the AWS re: Invent Customer and Partner Conference from in Las Vegas, NV. "This is aimed at folks today that are using AWS or will be using AWS for all kinds of use cases where data is core to their strategy," Matt Benati, vice president of Global Marketing at Attunity, tells DBTA. "All these use cases demand the movement of data and it really has to be a frictionless movement of data at scale. That is what Attunity does best."
Enterprise NoSQL vendor MarkLogic recently brought its summit series to New York. Themed as "Big Data, Beyond the Hype: Delivering Results," the one-day conference included presentations by MarkLogic executives as well as partners and customers. In his opening keynote, CEO Gary Bloom highlighted the need for a next-generation database to address the problems and opportunities posed by big data, while also cautioning that there are "a lot of shiny objects" in the market now trying to capture people's attention that may not deliver the necessary results.
Progress Software, a provider of software for connecting business applications to data and services, has released DataDirect Connect and DataDirect Connect XE for ODBC 7.1. The releases provide fast, reliable, secure and scalable connectivity for Apache Hive, as well as expanded support for cloud databases including Microsoft SQL Azure. DataDirect Connect and DataDirect Connect XE for ODBC 7.1 also offer new features for IBM DB2 10.1, IBM DB2 pureScale 9.8, Teradata 14, and Microsoft SQL Server 2012.
Opportunities abound for organizations that are able to gain insight into customers, sales, markets, and processes, by analyzing data culled from a myriad of sources across the enterprise. This rich information can enable executives, managers, and professionals to answer questions never possible before. As a result, for the companies that are able to provide business decision makers with quick and efficient access to BI or analytic data from which they can create their own interfaces and reports, competitive advantage can be realized.