In many organisations, the issue isn’t data volume or tooling. The data, however, is pulling in different directions. Why traditional data integration keeps breaking Traditional data integration usually focuses on movement Second, data doesn’t have to live in one place. Building data architectures that last Modern data architectures need to cope with uncertainty.

Research underscores this risk: fragmented data weakens model performance and undermines automation.  For professionals, this means specialising not just in managing data but in enabling AI-ready data pipelines Data Joins : Analysts can combine Snowflake datasets with Splunk’s machine data for deeper business-context complements other Splunk innovations in the AI era, such as federated analytics, Time Series Foundation Models and AI-capable data fabrics.

Lightweight AI models run directly on the device, making fast, real-time decisions without relying on Increased Model Efficiency : Edge AI allows continuous, local learning and improvement. This enhances data privacy and security while continuously improving AI models. complexity of AI models allows for faster processing and lower power consumption. Model Updates : Unlike cloud-based systems, updating AI models on multiple Edge devices can be more complicated

Data Models The Splunk Education single-subject course module, Data Models is for knowledge managers Data Models Creating a Pivot Accelerating Data Models Enriching Data Class Format Instructor-led lecture Data Models- Course Objectives Topic 1 – Introducing Data Model Datasets Understand data models Add event model Add root and child datasets to a data model Add fields to data models Test a data model Define data model acceleration Review considerations about data model acceleration Topic 5 - Enriching Data

accelerate reports and data models, and how to use the tstats command to quickly query data. Model Acceleration Using the tstats Command Class Format Instructor-led lecture with labs. Model Acceleration Understand data model acceleration Accelerate a data model Use the datamodel command to search data models Topic 4 – Using the tstats Command Explore the tstats command Search acceleration summaries with tstats Search data models with tstats Compare tstats and stats Splunk Course Schedules

Explore 8 advanced modules covering search, reporting, correlation, field extractions, and data models Create workflow actions, event types, knowledge objects and data models. Read More Data Models This Splunk training course is for knowledge managers who want to learn how to create and accelerate data models. Topics will cover datasets, designing data models, using the Pivot editor, and accelerating data models