Top Tweets for #DatabricksWorkflows
Now GA: Looping for Tasks in #DatabricksWorkflows with For Each
It’s now easier than ever to automate repetitive tasks by looping over a dynamic set of parameters defined at runtime. https://t.co/u4TNNB6Dev
Now GA: Looping for Tasks in #DatabricksWorkflows with “For Each”!
It’s now easier than ever to automate repetitive tasks by looping over a dynamic set of parameters defined at runtime. https://t.co/u4TNNB6Dev
We love getting direct insights from our users!
This #DatabricksCommunity blog post walks through how to create a data pipeline in #DatabricksWorkflows for a unified + streamlined approach to managing data and AI workloads: https://t.co/4mUGZUmg7f
Control flow management is the 🔑 element in orchestrating multi-stage #AI processes and pipelines.
Learn how our enhanced control flow in #DatabricksWorkflows allows you to gain better control over complex workflows: https://t.co/OsAKVTmQPA
We just introduced two new control flow capabilities to #DatabricksWorkflows!
✅ Conditional execution of tasks
✅ Job-level parameters
See how you can get started to gain better control over complex workflows.
https://t.co/OsAKVTmQPA
Catch the serverless real-time #Lakehouse in action!
This demo shows you how to
✔️ Create a streaming data pipeline with #DeltaLiveTables
✔️ Utilize advanced #DatabricksWorkflows triggers
✔️ Use #DeltaSharing to view the results
Watch the demo now👇
https://t.co/K8nHwDXqRa
Orchestrating Data Analytics with Databricks Workflows
https://t.co/Zcc7nNXoLV
#DatabricksWorkflows #Databricks #DataAnalytics
What questions do you have about #DatabricksWorkflows? 🤔
Tune into our latest episode of #AskDatabricks for answers on September 20th! @MrSiWhiteley and Roland Fäustlin will share best practices, how Workflows compare to other tools, and more!
Join us: https://t.co/soKedF2BJa
We’re ✨obsessed✨ with the new monitoring and observability features in #DatabricksWorkflows. Why? Because you can easily:
✔️ Monitor all your jobs in real-time
✔️ Diagnose task health across runs
✔️ Alert on overdue jobs
Learn more👇
https://t.co/2yHfHMPCtb
Got questions about our products? 🤔
Join our bi-weekly livestream with @AdvAnalyticsUK to ask our experts about the tools you use daily. In the first few episodes, we’ll be discussing #DeltaLiveTables, #DatabricksWorkflows, and more.
Get the details👇
https://t.co/uR3UilyMT7
Got questions about Databricks products? 🤔
Join @databricks & @AdvAnalyticsUK's bi-weekly livestream series to ask our experts about the tools you use daily. In the first few episodes, we'll be discussing #DeltaLiveTables, #DatabricksWorkflows, & more https://t.co/HhzQqSRjLW
Got questions about Databricks products? 🤔
Join @databricks & @AdvAnalyticsUK's bi-weekly livestream series to ask our experts about the tools you use daily. In the first few episodes, we'll be discussing #DeltaLiveTables, #DatabricksWorkflows https://t.co/yfvRyghb93
Enhanced monitoring and observability in #DatabricksWorkflows is here 🎉
These new features will simplify your daily operations by allowing you to see across your production workflows while optimizing productivity for #data practitioners.
Learn more👇
https://t.co/8IESrn4yQ2
#DatabricksWorkflows is the name — unified #Lakehouse orchestration is the game ♟️
This on-demand #DataAISummit session shows how Workflows streamlines workloads with workflow authoring and observability — and a glimpse of upcoming innovations 🔮
https://t.co/xaAQFFrsKu
We're introducing some great new features in #DatabricksWorkflows! Enjoy enhanced monitoring and observability with additions like a new Jobs Run dashboard, a matrix view, time limit alerts, and more! Get the full rundown: https://t.co/Gmoh4pR42x
Orchestration done right can improve productivity, pipeline reliability, and resource utilization.
Learn what to look for when evaluating orchestration tools...and why thousands of customers choose to run millions of jobs a day with #DatabricksWorkflows! https://t.co/Z4b2cUAnKC
Orchestration done right can improve productivity, insights + observability, and pipeline reliability + resource utilization.
Learn what to look for when evaluating orchestration tools...and why #DatabricksWorkflows tackles the biggest pain points! https://t.co/Z4b2cUAnKC
Support for orchestrating dbt projects in #DatabricksWorkflows is now GA 🥳
This feature makes it simple for dbt users to transform data using SQL and monitor and maintain data and ML pipelines across the lakehouse. Learn more ⬇️
https://t.co/pGlALcyZ2w
This #SQL task type is giving #DatabricksWorkflows a glow-up 🌟
Learn how it helps you easily author, schedule, inspect, and operate workflows that refresh #DatabricksSQL queries, dashboards and alerts 👇
https://t.co/OLuM8ZBLGO
With the new SQL task type on #DatabricksWorkflows, you can easily:
✍️ Author
🗓️ Schedule
🕵️ Inspect
🕹️ Operate
workflows that refresh Databricks SQL queries, dashboards and alerts! See how ⬇️
https://t.co/OLuM8ZBLGO
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