Splunk might be a bit more popular than Google Cloud Dataflow. We know about 18 links to it since March 2021 and only 14 links to Google Cloud Dataflow. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I'm using the free 60day Enterprise license and tried to install different apps from the "Browse more apps" menu in Splunk Enterprise, but it doesn't accept my credentials when I try to log in. I tried my username and password from splunk.com(which I'm sure it works, because I tried it straight away on the official website). Also I tried using my username and password with which I'm accessing Splunk Enterprise,... Source: 5 months ago
I'm noticing a questionable trend in Splunk question/answer structure for these free courses on splunk.com So I go to an exam dump to try and compare to something I have studied thus far. (Prepping for entry level 1002). Source: 6 months ago
With your splunk.com username, you can login to Splunk trainings portals as well https://www.splunk.com/en_us/training.html .. There are lots of free trainings available. Enroll yourself, complete them, you will gain more confidence. Source: 10 months ago
VAST is an open-source SecDataOps project for working with data from open-source security tools. Version 3.0 adds a pipeline syntax similar to splunk, Kusto, PRQL, and Zed. Source: about 1 year ago
I'm entering my correct credentials for splunk.com nothing happends, even tried downloading the tgz file from splunkbase and then going the install app from file route. Nothing happens. No failure message, no app downloading. Please help! Source: about 1 year ago
Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: over 1 year ago
This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 1 year ago
I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: over 1 year ago
You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: over 1 year ago
It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / almost 2 years ago
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Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases
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Prometheus - An open-source systems monitoring and alerting toolkit.
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