Implementing Splunk Data Stream Processor (DSP) 1.2 Course Overview

Enroll for the 4-days, Implementing Splunk Data Stream Processor (DSP) 1.2 training and certification course from Koenig solutions accredited by Splunk.

This course is designed for the experienced Splunk administrators who are new to a Splunk DSP. This hands-on class provides the fundamentals of deploying a Splunk DSP cluster and designing pipelines for core use cases. It covers installation, source and sink configurations, pipeline design and backup, and monitoring a DSP environment.

Target Audience

This course is ideal for:

  • Splunk Administrators

Learning Objectives

Upon completion of this course, participants will learn the following:

  • Fundamentals of deploying a Splunk DSP cluster
  • Designing pipelines for core use cases.
  • Installation, source and sink configurations, pipeline design and backup, and monitoring a DSP environment.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

  • 1. Do you have limited Window for training?
  • 2. Can you only spend 4-hours per day?
  • 3. Do you want to start training immediately?
  • If your answer is yes to any one of the above, you need 1-on-1- Training
The 1-on-1 Advantage
Methodology
Flexible Dates
4-Hour Sessions
  • View video
  • The course will be free if we are not able to start within 7 days of booking.
  • Only applicable for courses on which this logo appears.

You will learn:

Module 1: Introduction to DSP
  • Review Splunk deployment options and challenges
  • Describe the purpose and value of Splunk DSP
  • Define DSP concepts and terminologies
  • List DSP core components and system requirements
  • Describe installation options and steps
  • Check DSP service status
  • Learn to navigate in DSP UI
  • Use scloud
  • Ingest data with DSP REST API service
  • Configure DSP source connections for Splunk data
  • Configure DSP sink connections for Splunk indexers
  • Create Splunk-to Splunk pass-through pipelines
  • Describe the basic elements of a DSP pipeline
  • Create data pipelines with the DSP canvas and SPL2
  • List DSP pipeline commands
  • Use scalar functions to convert data types and schema
  • Filter and route data to multiple sinks
  • Review Splunk lookups
  • Enrich data with DSP lookups
  • Populate KV Store lookups from DSP streams
  • Manipulate pipeline options
  • Introduce the DSP Plugins SDK
  • Read from and write data to pub-sub systems like Kafka
  • List sources supported with the collect service
  • Transform data from Kafka and normalize
  • Write to S3
  • Onboard observability data (log, metric, and trace) into DSP
  • Transform metric data for Splunk indexers and Splunk SignalFx
  • Transform trace data for Splunk Infrastructure Monitoring
  • Route metric data to Splunk indexers and SignalFx
  • Send trace data to Splunk SignalFx
  • Describe the advantage of using DSP Streaming ML plugin
  • Enable the Streaming ML plugin in DSP
  • List the DSP Streaming ML functions
  • Practice DSP ML algorithms with the ML datagen
  • Back up DSP pipelines
  • Monitor DSP environment
  • Describe steps to isolate DSP service issues
  • Scale DSP
  • Replace DSP master node
  • Upgrade DSP cluster
Live Online Training (Duration : 32 Hours)
Group Training 1950 Per Participant
04 - 07 Jul 09:00 AM - 05:00 PM CST
(8 Hours/Day)
01 - 04 Aug 09:00 AM - 05:00 PM CST
(8 Hours/Day)
1-on-1 Public We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.
2250 + If you accept merging of other students.
4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
Fee : On Request
On Request
Physical Classroom Training with 4 hours /8 hours option is available. Enquire Now!
Ultra-Fast Track

If you can't spare 32 hours. We can offer you an Ultra-Fast Track for 16 hours for only USD 1,800

Course Prerequisites

Required Pre-requisites:

  • Splunk Enterprise System Administration
  • Splunk Enterprise Data Administration

Recommended Pre-requisites:

  • Architecting Splunk Enterprise Deployments
  • Working knowledge of:
    • Distributed system architectures
    • Apache Kafka (user level)
    • Apache Flink (user level)
    • Kubernetes (admin level)

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