Why the right big data and analytics infrastructure is crucial
It’s no longer enough to rely on a sampling of information about your customers. You need to get vital insights into their actual behavior and that requires huge volumes of data to power machine learning and deep learning algorithms. Learn why IDC believes IBM big data infrastructure is the key to successful AI deployments and true, unbiased real-time insights.
Big data without big problems, thanks to storage solutions
Optimizing performance and access for faster time to insight
For true collaboration, you need access to data no matter where it is located or what type it is. IBM Spectrum Scale™ supports big data workloads while managing data at scale and performing analytics in place.
Run big data workloads directly on enterprise storage
With 80% of data unstructured, you need a system that isn't proprietary and can seamlessly extend to the cloud. IBM Elastic Storage® Server is ideal for Hadoop, Spark, and other big data and analytics workloads.
Gain a persistent, scalable storage layer for cloud-based analytics
There are 2.5 quintillion bytes of data created every day—which is why you need IBM Cloud Object Storage, a breakthrough platform for storing large amounts of unstructured data with unmatched efficiency.