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  1. Enterprise Data Storage Solutions | IBM

    A high-capacity, cost-effective family of storage solutions designed to manage large data volumes while reducing carbon impact and energy consumption, aligning with sustainability initiatives.

  2. Elevate Your Data Management Skills with New IBM Storage Scale …

    This specialization consists of a curated collection of our new courses, tailored to provide a thorough understanding of enterprise data storage using IBM Storage Scale.

  3. Enterprise Storage: Still the Best Plan - IBM Mediacenter

    Discover why enterprise storage arrays, such as the IBM DS8900, and their tried-and-true architecture remain indispensable for data center administrators aiming to modernize their …

  4. What is a data platform? - IBM

    A data warehouse —or enterprise data warehouse (EDW)—aggregates data from different sources into a single, central, consistent data store to support data analysis, data mining, AI …

  5. Artificial Intelligence (AI) Storage Solutions | IBM

    IBM Storage solutions for data and AI deliver data at scale while maintaining high performance, low latency and managed data access with limited to no downtime.

  6. What is data recovery? - IBM

    Enterprise data recovery is the process of restoring lost, corrupted, accidentally deleted or otherwise inaccessible data to its server, computer, mobile device or storage device (or to a …

  7. What are data silos? - IBM

    To break down data silos, enterprises can build holistic data fabrics by using advanced data integration and data management solutions to bring disparate data stores together in real-time.

  8. Storage data backup and recovery solutions - IBM

    Accelerate enterprise backup and recovery processes to help retrieve data and recover IT services rapidly with IBM Storage solutions for on-premises and cloud workloads.

  9. Cloud Data Lake vs. Data Warehouse vs. Data Mart - IBM

    Compare data lakes, data warehouses, and data marts to unlock business benefits, understanding the unique characteristics and uses of each data storage

  10. Data Warehouses vs. Data Lakes vs. Data Lakehouses | IBM

    Data lakes separate data storage from compute resources, which makes them more cost-effective and scalable than data warehouses. Organizations can add more storage without scaling …