Cloudera recently released a fully featured Open Data Lakehouse, powered by Apache Iceberg in the private cloud, in addition to what’s already been available for the Open Data Lakehouse in the public cloud since last year. This release signified Cloudera’s vision of Iceberg everywhere. Customers can deploy Open Data Lakehouse wherever the data resides—any public cloud, private cloud, or hybrid cloud, and port workloads seamlessly across deployments.
Your company collects data from different sources and then you analyze the data to help make the right decisions. But you aren’t quite getting the results that you expect. Maybe the insights aren’t accurate. Perhaps the process is time consuming and cumbersome. Or you are only currently using data for a few use cases and struggle to implement organization wide.
Fast moving data and real time analysis present us with some amazing opportunities. Don’t blink—or you’ll miss it! Every organization has some data that happens in real time, whether it is understanding what our users are doing on our websites or watching our systems and equipment as they perform mission critical tasks for us. This real-time data, when captured and analyzed in a timely manner, may deliver tremendous business value.
As data ecosystems evolve security becomes a paramount concern, especially within the realm of private cloud environments. Cloudera on Private Cloud with the Private Cloud Base (CDP PvC Base) stands as a beacon of innovation in the realm of data security, offering a holistic suite of features that work in concert to safeguard sensitive information.
Organizations increasingly rely on streaming data sources not only to bring data into the enterprise but also to perform streaming analytics that accelerate the process of being able to get value from the data early in its lifecycle. As lakehouse architectures (including offerings from Cloudera and IBM) become the norm for data processing and building AI applications, a robust streaming service becomes a critical building block for modern data architectures.