Dell Data Lakehouse For Analytics
- By allowing businesses to capture and analyze all forms of data — structured, unstructured, and semi-structured — more flexibly and affordably than traditional data warehouses, adding a data lake was expected to help address these problems. Many businesses today combine a data lake and a data warehouse, keeping data in the lake and replicating it to the warehouse so that users can access it.
Improved performance, data quality, and control provide you the ability to extract more value from your data.- Simplify your data landscape by giving all of your data a single source and getting rid of the requirement for additional systems to support real-time data applications.
- Protect and secure your data – Your data lake will be more dependable and high-quality with fine-grained security, comprehensive data management, and governance.
Components with a variety of the extent choices- Master nodes: 3xminimum ofPowerEdge R660
- Worker nodes: 4xminimum ofPowerEdgeR76(NVIDIA GPU optional)
- Networking :2x minimum of PowerSwitch S5248F-ON
- Storage: Apache Spark, Apache Kafka, Delta Lake, Parquet, NVIDIA AI Enterprise(optional)
- Kubernetes Platform: Symcloud, CNP.
