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Data Management - Federation Bootcamp series

Unlock the full value of your data with our immersive bootcamp series designed for Splunk Admins and Splunk architects. Join us as we explore core data management strategies and actionable techniques to drive business results, improve operational efficiency, and optimize your data for the future—whether you’re operating in the cloud, on-premises, or both.

Session 1: Introduction to Data Management & Index and Time-Based Data Management

Learn why your organization needs to have a data management strategy and the business challenges data management addresses. We’ll kick off this topical session by investigating index and time-based data management and the options available for your time-based indexes. Whether cloud or on-prem, we’ll talk about how the value of your data changes over time, why this is relevant to your indexing strategy, and how you can organize your indexes for optimal search and retention outcomes.

Session 2: Event-based Data Management

Learn about the powerful role of event-based data management between event generation and landing your data. Learn about strategies for using these tools to optimize your data to improve search performance, reduce ingestion and storage costs, and get the most value out of your data through routing, filtering, and transformation. Splunk has a variety of data management products and features designed to support event-based data management. We’ll explore how to align these products and features with your data strategy.

Session 3: Enabling 360 visibility and Federation for the Agentic-AI driven enterprise

Learn how Cisco Data Fabric and Federated Search can help your organization break down data silos and gain greater visibility across distributed environments. We’ll explore how Cisco Data Fabric, powered by Splunk, helps unify and correlate data across edge, cloud, and hybrid environments, while Federated Search enables real-time access to distributed data without costly data movement. You’ll also see real-world use cases and a demo showcasing how federation can help accelerate access to insights across security, IT, network, and business domains.

Session 4: Rethinking Data Management with Machine Data Lake

Learn how Machine Data Lake (MDL) is reshaping modern data management strategies and providing a scalable foundation for managing growing volumes of machine data. We’ll explore what MDL is, why it matters, and how it enables cost-effective ingestion of massive volumes of raw data while complementing security, observability, and ad hoc analysis. You’ll also learn how MDL provides a strong data foundation for AI and machine learning and how it works alongside federation to support a more flexible approach to modern data management.

Our Speakers