Dominik Bieber @dbeaver

**Bytes Europe** @byteseu@pubeurope.com · 1 Std.

**Bytes Europe** @byteseu@pubeurope.com · 7 Std.

**Bytes Europe** @byteseu@pubeurope.com · 9 Std.

**Bytes Europe** @byteseu@pubeurope.com · 9 Std.

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**Hervé @ Puma - IT Services** @Puma_IT@fosstodon.org · 11 Std.

11 Std.

Hervé @ Puma - IT Services @Puma_IT@fosstodon.org

I deactivated #ToXic Twitter, sadly, after being my main network.

I read about @Publer from @FediTips with some good advices as usual https://social.growyourown.services/@FediTips/114342523821825580

- I need post #scheduling, #analytics, and if possible #hashtag manager, and #canva integration.
- For a single user, or small team, and 1 brand/company, what would you recommend?
(no plan to manage multiple brands/company for the moment, so solutions like HootSuite are oversized ;-)

#FediTips #FediHelp

2/2

social.growyourown.servicesFedi.Tips (@FediTips@social.growyourown.services)If your organisation needs to be on many social networks at once, there are paid social management services which include support for Mastodon such as Buffer at https://buffer.com/mastodon and Publer at https://publer.com However, if you just want to schedule your Mastodon posts you don't need to use commercial services. Mastodon has its own built-in free open scheduling system available through third party apps (more info at https://fedi.tips/scheduling-posts-on-mastodon). #FediTips

**Bytes Europe** @byteseu@pubeurope.com · 11 Std.

**Bytes Europe** @byteseu@pubeurope.com · 12 Std.

**Bytes Europe** @byteseu@pubeurope.com · 14 Std.

**Bytes Europe** @byteseu@pubeurope.com · 16 Std.

**Bytes Europe** @byteseu@pubeurope.com · 19 Std.

**Europe Says** @europesays@pubeurope.com · 20 Std.

**Bytes Europe** @byteseu@pubeurope.com · 21 Std.

**Bytes Europe** @byteseu@pubeurope.com · 22 Std.

**Brian Benz** @bbenz@mastodon.social · 1 T.

1 T.

Brian Benz @bbenz@mastodon.social

Had fun at #CosmosDBConf showcasing “Accelerating Real-Time Analytics with Cosmos DB and #NVIDIA GPU-Enhanced Serverless Apache Spark!” We used separate CPU/GPU builds in our Maven POM via profiles, Dockerfiles for container apps, and GPU-accelerated Spark to handle streaming data at warp speed.

Missed it? Catch the recording: https://youtu.be/x-0-S0MS5ko?si=wr6pKXubf7MA3lmh
Sample code here: https://aka.ms/sparkrapidsgpudemo

youtu.be- YouTubeAuf YouTube findest du die angesagtesten Videos und Tracks. Außerdem kannst du eigene Inhalte hochladen und mit Freunden oder gleich der ganzen Welt teilen.

#Azure #GPU #Analytics