All businesses, organizations, systems, and devices generate massive streams of data every day. This data originates anywhere from the core of the data center to the edge of the network. This machine-generated data holds critical information, including:
Machine data is one of the fastest growing segments of data analytics and is valuable. However, it is often one of the most underused and undervalued assets of an organization.
Machine data is a key asset that enables organizations to gain operational intelligence whether it is for:
Delivering real-time insights and business value from machine data is necessary to drive digital transformation. However, using this data presents real challenges.
However, traditional data analysis, management, and monitoring solutions are not engineered for high-volume, high-velocity, and highly diverse data. Machine data comes in many unpredictable formats that are difficult to process and analyze through business intelligence and data warehouse tools. These methods are designed for structured data with rigid schemas.
Business leaders seek to accelerate innovation while reducing costs and risk with optimized and validated solutions that power new or expanded operational intelligence capabilities. Dell EMC, Intel, and Splunk have partnered to provide standardized reference architectures that are designed with scalability and performance to aid business digital transformation. These solutions combine Splunk analytics with the cost-effective, scalable, and flexible infrastructure of Intel-based Dell EMC hardware to deliver the right operational intelligence for your organization.
This document provides a business-level overview of an enterprise intelligence platform for Splunk, which is built on Dell EMC and Intel technologies. It describes the reference architecture configurations for several realistic Splunk deployments of different business sizes and types.