Lakeflow Designer is a new tool to bridge the gap between data engineers and business analysts. Production-quality ETL with no code required! This short demo shows Lakeflow Designer in action: import spreadsheets + transform data with drag-and-drop, translate and classify data

Databricksのジョブ機能は歴史が長い分、名前も結構変わったりしてますがGUIやPythonで柔軟に複雑なオーケストレーションできるのは良い機能だと手前味噌だとしても思うわけです。 Lakeflowジョブ入門：15分で始めるDatabricksのワークフロー自動化 - Qiita https://t.co/ShZKKa7DvI

More connectors are available on Lakeflow connect. #Databricks #DataAiSummit

DatabricksのLakeFlowはよく出来てて、後続のジョブ配列のパラメータを前段のジョブで指定できるので、マルチマスタによる分散計算もできる。Serverlessクラスタと組み合わせると高速に分散計算してる感覚になれる。

Apache Airflow™ is yesterday's orchestrator. Discover 5 reasons Lakeflow Jobs powers modern, data-first pipelines with serverless scale, built-in governance, and lower TCO #Databricks

Databricks Free EditionでLakeflow Spark宣言型パイプライン(SDP)を動かしてみました！次回のもくもく会はSDPを取り上げる予定です。 Lakeflow Spark宣言型パイプライン(SDP)チュートリアルのウォークスルー #Databricks - Qiita https://t.co/eJKGxa9e2d

Many data teams still rely on cron-style schedules to guess when data is available, which can lead to wasted compute and delayed insights. Table update triggers in Lakeflow Jobs changes that. Jobs now run automatically as soon as a table is updated, helping teams cut costs,

Lakeflow SDP(Spark宣言型パイプライン)、触ってますか？ 「どう書くか」より「何を作るか」を宣言するDatabricksの宣言型パイプラインをもくもく会で実際に触ります。 DLT / Streaming経験者も歓迎 👋 🔗 https://t.co/WU4pyWVKYL #databricks #jedai

Announcing Public Preview of Zerobus Ingest, part of Lakeflow Connect: Push event data directly into your lakehouse—no message bus required! Simplified ingestion. Reduced latency. Built for scale. - Up to 100 MB/sec per connection - Latency as low as 5 seconds - Native Delta +

📝 Lakeflow SDP入門シリーズ(全5回)を公開しました SQLでデータパイプラインを宣言的に書くSDPを基礎→実践で学べます。書きながら自分もかなり勉強になりました。 Databricks Free Editionで無料で試せます👇 https://t.co/QzlASh5R6y

Biggest cheer of the day here at #DataAISummit for the Lakeflow Designer, an impressive and powerful genAI-based no-code insight enabler. That eliminates a ton of work!

Databricksのワークフローはdbtも使えます！ DatabricksのLakeflow Jobsでdbtを実行してみた https://t.co/PrmpPfuW7e #DevelopersIO

Oh no. I wanted to make a comment that no-one will notice it, but I can't project our way of working on other customers... 🤣 And maybe in the future with LakeFlow we are going to use it :)

Sharepoint 用の Lakeflow Connect 、めちゃくちゃ簡単でびっくりした。 日本語環境ではちょっと気を付けないといけないことあるからqiita 書くぞう #Databricks

Will Bilal Aslam kill your job ? Of course not he is going to make you more productive with Databricks Lakeflow. Simplicity is the keyword here. @qAmbard Watch the full session here: https://t.co/H7ssrgWAJr #Databricks

Data teams and business analysts want the same thing: to turn raw data into insights fast. But they use different tools and environments, leading to siloed workflows, production challenges, and limited AI productivity for analysts. Lakeflow Designer is a new no-code ETL

Get under the hood of Lakeflow: unified data engineering across ingestion, transformation, and orchestration. Michael Armbrust, Distinguished Engineer at Databricks, walks through the main components of Lakeflow and how they work - Lakeflow Connect: efficient data ingestion

We heard from customers that data engineering teams spend too much time stitching tools together, instead of delivering insights that drive real business value That’s why we introduced Databricks Lakeflow—a unified solution for ingestion, transformation, and orchestration

Lakeflow Declarative Pipelines is now GA! Simplify batch and streaming ETL with automated reliability and built-in data quality. This release comes with new optimizations that cut TCO by up to 70% for serverless pipelines. New updates also make pipelines more modular,