Big Data Retires Your Data Storage Infrastructure So Now What?
Big data is flooding organizations while the industry scrambles to get grips with the new data-driven economy and what that means for businesses. This accelerated data growth phenomenon has put organizations of every size, industry and location in a state of transformation, one in which the implications of this data growth continues to unfold around us. This pervasive trend is here to stay, it’s time to get ahead of the curve.
Technology advancements are driving the variety and velocity of data to increase, while current data storage and management solutions are struggling to keep pace with growing volumes. Most organizations have storage architectures based on decade-old infrastructures and technology, retrofitted with a handful of modern components and marketed as next-generation. In reality, these solutions are packed with complexities, bottlenecks, expensive upgrades and the inherent need for over provisioning.
Big datEverything we’ve come to know about generating, storing, and managing data has been flipped on its head within the last few years. Strategies and data management practices that worked for decades are showing signs of failure while putting organizations at risk—and that is just the tip of the iceberg.
Fortunately, there’s a better way, a data centric approach to data management. This approach focuses on data-centricity, drawing actionable insights from data itself, and managing it for, and according to, its value. Instead of focusing on existing media-centric ways, data centric approaches enable organizations to build data management strategies based on the value of the data which creates an enterprise storage and data management architecture that goes beyond saving on capital hardware costs, reducing data related risks and optimizing storage.
Strategies and data management practices that worked for decades are showing signs of failure while putting organizations at risk—and that is just the tip of the iceberg
Flash, along with growing capacities, is driving massive data growth and a need for boundless scalability and performance. Data-centric solutions provide a scalable storage infrastructure for leveraging media independent technology with enterprise object storage, enabling pay-as-you-grow flexibility and infinite scalability to keep pace with technology advancements. Additionally, organizations can apply distributed deduplication and compression at the chunk level across the entire data estate, improving storage optimization and reducing storage CAPEX.
