This course serves as the foundation for all other Splunk Observability courses. It is targeted towards DevOps/SRE/Observability teams, Senior On-call Engineers, Onboarding and Monitoring Strategists and Developers. This 6-hr course provides a fundamental understanding of Metrics Monitoring in Splunk Observability such as the metrics data model and different types of metadata. See how you can interact with data using built-in content, search for metrics, find more information about a metric, visualize and alert on metrics. Learn to use appropriate rollups, interpret chart data based on chart resolution, rollups, and analytic functions. All concepts are taught using lectures and scenario-based hands-on activities.
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This 3 hours course prepares IT professionals to configure and manage SOAR.
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This 13.5-hour course is for users who want to attain operational intelligence level 4, (business insights) and covers implementing analytics and data science projects using Splunk’s statistics, machine learning, built-in and custom visualization capabilities.
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This 4-day course is designed for the experienced Splunk administrators who are new to 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.
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This 9-hour course is for developers who want to use the Splunk REST API to interact with Splunk servers. In this course, use curl and Python to send requests to Splunk REST endpoints and learn how to parse and use the results. Create a variety of objects in Splunk, learn how to change properties, work with and apply security to Splunk objects, run different types of searches and parse its results, ingest data using the HTTP Event Collector and manipulate collections and KV Stores.
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This 1-virtual day course is designed for the experienced Splunk system administrators. This hands-on class is designed to provide the essential knowledge for deploying and managing Splunk SmartStore.
It covers SmartStore deployment options, cache manager configurations, monitoring, and troubleshooting of SmartStore implementation.
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This 9-hour virtual course highlights key differences between Splunk Enterprise deployed on-premises and Splunk Enterprise Cloud to allow Splunk Administrators to transition to Splunk Cloud.
This course provides the skills and knowledge for experienced on-prem administrators to migrate the collection and data ingest as well as manage their Splunk Cloud environment and maintain a productive Splunk SaaS deployment.
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This Google Cloud course empowers you to develop scalable, performant LookML (Looker Modeling Language) models that provide your business users with the standardized, ready-to-use data that they need to answer their questions. Upon completing this course, you will be able to start building and maintaining LookML models to curate and manage data in your organization’s Looker instance.
Now RM2,040 – get 15% off this practical LookML data modeling course.
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In this Google Cloud course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts.
Upon completion of this course, you will be able to leverage Looker’s modern analytics platform to find and explore relevant content in your organization’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.
Master Looker BI tools at RM2,040 – 15% discount available now.
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Unlock the power of data with Cloud Data Fusion.
This 2-day Google Cloud course introduces learners to Google Cloud’s data integration capability using Cloud Data Fusion.
In this course, we discuss challenges with data integration and the need for a data integration platform (middleware). We then discuss how Cloud Data Fusion can help to effectively integrate data from a variety of sources and formats and generate insights. We take a look at Cloud Data Fusion’s main components and how they work, how to process batch data and real time streaming data with visual pipeline design, rich tracking of metadata and data lineage, and how to deploy data pipelines on various execution engines.
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Empower your business with Dialogflow CX’s Advanced AI capabilities.
In this Google Cloud course, learn how to design customer conversations using Contact Center Artificial Intelligence (CCAI). You’ll use Dialogflow CX to create virtual agents and test them using the simulator. Learn to add functionality to access data from external systems, making virtual agents conversationally dynamic. You’ll be introduced to testing methods, connectivity protocols, APIs, environment management, and compliance measures.
Learn best practices for integrating conversational solutions with your existing contact center software and implementing solutions securely and at scale.
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Take your customer conversations to the next level.
In this GCP-CXCCES: Customer Experiences with Contact Center AIDialogflow ES course, learn how to design customer conversations using Contact Center Artificial Intelligence (CCAI). You’ll use Dialogflow ES to create virtual agents and test them using the simulator.
Learn to add functionality to access data from external systems, making virtual agents conversationally dynamic. You’ll be introduced to testing methods, connectivity protocols, APIs, environment management, and compliance measures. Learn best practices for integrating conversational solutions with your existing contact center software and implementing solutions securely and at scale.
