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ÜBER DIESEN PODCAST 🔗
Splunk [Data Fabric Search and Data Stream Processor] 2019 .conf Videos w/ Slides
Durchschnittliche Audiolänge:
56 minutes
Video-Podcast
Englisch
Vereinigte Staaten
16 Folgen
seit 21. Dezember 2019
episodic
AUDIENCE OF THIS PODCAST 🔗
~99.44% of listeners are from United States.
🇺🇸
US
99.44%
🇮🇳
IN
0.27%
🇬🇧
GB
0.27%
Others
0.02%
* Data source: directly measured on Listen Notes. in Echtzeit
NEUESTE FOLGEN 🔗
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FRÜHERE EPISODEN 🔗
Learn how the T-Mobile Splunk Team uses Splunk Data Stream Processor (DSP) to provide advanced stream manipulation options to its user base. See how DSP is positioned in a large-scale Splunk as a service ecosystem.
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Initial compromises happen on your endpoints, so why are you not Splunking them? In this edition of Splunking The Endpoint, we will tell you exactly what to configure in Splunk, and where, why, and how to do so in order to get unparalleled visibility into threats targeting your network. Not only wi…
Collect Service is a new scalable method with high availability to collect data for Splunk Cloud Platform or Splunk Enterprise with Data Stream Processor(DSP). This session will cover the basic principles to show you how the Collect Service operates and why you need to use it, how the service is di…
How would you go about exploring your data assets using Splunk’s newly available Data Fabric Search? What should you expect when you adopt Data Fabric Search for your Splunk deployments? We will show you how to go about enriching your Splunk searches and navigating through the different search phas…
Have you ever been asked to create a resilient petabyte scale data collection and distribution architecture? Do you need to transform data before it is indexed to remove unnecessary or sensitive data or even enrich the data with a lookup before writing the data to your index? Do you need to detect …
Popular stream processing frameworks (such as Apache Spark Streaming, Apache Flink, and Apache Kafka Streams) make stream processing accessible to developers with language bindings typically in Java, Scala, and Python. These frameworks also include some variant of streaming SQL support to further e…
Do you use Kafka but find yourself limited by what Kafka allows you to do with your data? Would you like to enrich, aggregate, and alert on your data as it moves through Kafka, but can’t figure out how? You can overcome these obstacles by integrating Kafka with the Splunk Data Stream Processor. The…
Learn how the T-Mobile Splunk Team uses Splunk Data Stream Processor (DSP) to provide advanced stream manipulation options to its user base. See how DSP is positioned in a large-scale Splunk as a service ecosystem.
Speaker(s) Michael Guenther, Senior Advisory Engineer, Splunk Dave Cornette, Enterp…
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