Ready Solutions for Big Data can address a broad range of analytic workloads with an integrated on-premises solution that provides big data as a Service (BDaaS).
Data lake as a service is the easiest way to stage and query raw data from business applications, log files or other sources, as well as create a cost effective way to store historical data.
Raw data can be collected in a data lake, then regularly processed to move subsets to domain-specific data marts or enterprise data warehouses.
Sandbox as a service supports data exploration, testing and development environments where enterprises can explore new ideas quickly and inexpensively.
Data mart as a service can augment existing data warehouses used to analyze structured data from business applications by offloading workloads.
Ready Solutions for Big Data come with five custom images including Cloudera® Hadoop, Hortonworks® Hadoop, Cassandra® NoSQL, Spark™, and in-memory GPU.
An on-premise big data as a service solution that provides the self-service, economics and simplicity of the cloud with the on-premise security and compliance organizations demand
Big Data teams can quickly and easily provision their own resources, run jobs using their choice of tools, and even run multiple analytics workloads simultaneously on the same infrastructure without sacrificing performance.
Everything you need to provide big data as a service (BDaaS), including the software, hardware and services, so you can spend less time architecting, testing and maintaining analytics systems.
1 “Access to instant, personal clusters," BlueData, August 2018.
3 “The Total Economic Impact of Dell EMC Ready Solutions Hadoop,” commissioned by Dell EMC | Intel, May 2018.