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The rise of big data and IoT has fostered growth in the cloud data warehouse industry. Both big data and IoT contribute to a huge rise in the amount of data that businesses must store and manage. Big data refers to large datasets from a variety of sources, including social media, sensor data, and customer transactions. Similarly, IoT devices produce a steady stream of data, which may range from machine measurements in factories to data collected from wearables.
Traditional data warehouses frequently fail to accommodate the increasing number and variety of data. Additionally, cloud data warehouses are naturally scalable, allowing enterprises to simply modify storage space and processing power based on requirements.
For instance, in July 2023, IBM launched its next generation of Db2 Warehouse. Through this development, the company introduced cloud-native support for Db2 column-organized tables residing in cloud object storage. This advancement enhances query performance, reduces storage costs, and provides a cost-effective solution for always-on, mission-critical workloads. The integration of advanced caching techniques and compatibility with cloud object storage enables faster analytics, improved scalability, and enhanced data governance within the Db2 Warehouse platform.