Zeitpunkt Nutzer Delta Tröts TNR Titel Version maxTL Di 27.08.2024 00:00:25 62.027 +4 3.661.813 59,0 Fosstodon 4.2.12 500 Mo 26.08.2024 00:00:29 62.023 +2 3.659.088 59,0 Fosstodon 4.2.12 500 So 25.08.2024 00:00:41 62.021 +2 3.656.606 59,0 Fosstodon 4.2.12 500 Sa 24.08.2024 00:00:01 62.019 +1 3.654.106 58,9 Fosstodon 4.2.12 500 Fr 23.08.2024 00:00:08 62.018 +4 3.652.682 58,9 Fosstodon 4.2.12 500 Do 22.08.2024 00:00:04 62.014 +5 3.650.761 58,9 Fosstodon 4.2.12 500 Mi 21.08.2024 00:00:15 62.009 +1 3.647.786 58,8 Fosstodon 4.2.12 500 Di 20.08.2024 00:00:05 62.008 +5 3.644.665 58,8 Fosstodon 4.2.12 500 Mo 19.08.2024 00:00:17 62.003 +2 3.641.624 58,7 Fosstodon 4.2.11 500 So 18.08.2024 00:00:34 62.001 0 3.639.179 58,7 Fosstodon 4.2.11 500
Posit (@Posit) · 11/2022 · Tröts: 421 · Folger: 2.413
Di 27.08.2024 16:07
If you’re an Apache Spark user, you benefit from its speed and scalability for big data processing.
However, you might still want to leverage R’s extensive ecosystem of packages and intuitive syntax. One effective way to do this is by writing user-defined functions (UDFs) with sparklyr.
UDFs enable you to execute R functions within Spark, harnessing Spark’s processing power and combining the strengths of both tools.
🔍 Learn more in a recent blog post → https://posit.co/blog/databricks-udfs/
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