Opleiding: Mastering Data Management Techniques (MSDMT)

Every organization opting to use Splunk needs to understand the best way to ingest data from various sources. While the most direct route to the Splunk indexers is best for the success of any Splun...

Every organization opting to use Splunk needs to understand the best way to ingest data from various sources. While the most direct route to the Splunk indexers is best for the success of any Splunk deployment, in an environment where data creation is skyrocketing, you must consider intermediate-forwarding solutions to meet your unique business challenges. This Instructor-led course (four-days, 4.5 hours each) is designed for those with foundational knowledge in Splunk data administration who wish to deepen their expertise. It focuses on technical skills related to data management processes and will benefit professionals involved in designing, building, and optimizing Splunk data ingestion pipelines.

Note: The topics covered in this course apply to hybrid environments spanning Splunk Enterprise, Splunk Cloud, and other non-Splunk storage options.

Please note that classes may run across four days consisting of 4.5 hour sessions each day or, may run over a period of two or three days to reach the 18 hours of content.

- Splunk Administrators

Module 1 – Splunk Data Processing Introduction



- Review and discuss the classic Splunk GDI architecture
- Highlight the benefits and the implementation parameters
- Explain how Splunk ingestion pipeline scales
- Understand the role of Splunk data ingestion processing solutions
- List the data flow attributes in inputs.conf and outputs.conf
Module 2 – Data Processing with Intermediate Forwarders



- List the benefits and challenges of processing data at the edge
- Deploy and manage interme...