Big data and BI will drive information management strategies
As enterprises develop new goals for deriving valuable analytics from BI and big data, advanced relational databases will be required for optimal information management (IM). Utilizing DBA services can aid in supporting these efforts, ensuring that data is both accessible and secure, and analytics are precise and consistent.
Gartner recently identified top technology trends that will shape IM in 2013 and beyond. Information governance, according to the research firm, is becoming more complex due to increasing volume, velocity and variety of data. Vice President of the firm, Regina Casonato, commented on these predictions.
"Information is one of the four powerful forces changing the way business is done," she stated. "Significant innovation continues in the field of information management (IM) technologies and practices driven by the volume, velocity and variety of information, and the huge amount of value – and potential liability – locked inside all this ungoverned and underused information."
The potential rewards of mining big data are considerable, but the growth of information has made this difficult. Additionally, Gartner explained that new internal and external sources of information are constantly being introduced, further complicating the process. As a result, database experts and advanced technologies that allow firms to easily analyze, share and re-purpose information are critical for achieving big data success. Gartner asserted that big data demands innovative processing solutions that can offer improved strategizing for high-volume stores of new and existing information.
The cloud's role in big data
TechTarget contributor Dan Sullivan reported that cloud computing will have a dramatic impact on the future of big data and business intelligence (BI). He asserted that working with big data requires access to scalable computing and storage solutions, as conventional management tactics and infrastructures are inadequate. The cloud can provide firms with easy access to all transactional, BI, social networking, click-stream and mobile device data under one unified management system. As a result of integrating this information, Sullivan explained that businesses can further deepen insight from more detailed real-time analysis. He further recommended using relational databases such as Oracle or Microsoft SQL server for optimal support.
Because processing large volumes of structured and unstructured data can be challenging, cloud solutions and relational databases are valuable technologies in fulfilling big data objectives.
RDX's business intelligence and big data experts assist customers in leveraging data contained in large data stores. For more information, please visit our Business Intelligence and Predictive Analytics pages or contact us.
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