Databricks

“Good roundup, thanks for pulling it together. The one I am most interested in from day 2 is the Genie Code side getting proper support for longer-running workflows. For me Genie Code already crossed the line from toy to daily driver over the last quarter, I use it for most of my ”

“All I can say is - this is gthe toughest exam.”

“Powerful ETL and Data Pipeline Platform | Based on my experience, Databricks Platform is well suited for huge-scale data processing and building end-to-end data pipelines. It works very well for developing complete data products using bronze, silver, and gold architecture.Well su”

“Best in the industry | Currently the best Data Science tool for a large-scale company that needs strong tech support once and a while. The performance and the connectivity/integration with a large bread of tools and platform is also important when you don't want to change all you”

“Day 2 was littt: the Free Edition news hit differently for me. Lakebase, Genie Code, and GPUs all in Free Edition means someone just starting can experiment with the same stack we use in enterprise, which wasn't true a year ago.”

“Became their "customer" by acquisition of another company, as I didn't agree with new T&C, I requested to delete my account. It took quite some time until a notification they have fulfilled my request. I attempt to log in and... they send me by email a valid verification code (a ”

“I wish all aaSholes to be permanently locked out of their subscriptions”

“In terms of where to start, all of the other suggestions here are great. I'd add to the discussion that you can use Free Edition (https://www.databricks.com/learn/free-edition) to learn the ropes. This will let you use the features of the platform without needing to pay through t”

“In a telco environment handling massive data volumes from fixed and mobile networks (GPON, 4g/5g Core, and RAN) ingesting unstructured or semi-structured frequency telemetry incrementally from our virtualized functions like vEPC, vCPE or VHGW) with minimal setup. My team works cl”

“Databricks is Great Platform for Data Virtualization based on Delta Lake | Delta Share, Data virtualization , Open Data Integration with Other data sources, parquet ingestion | Pros: Data Virtualization | Pros: Spark Real time and Batch streaming | Pros: Notebook to run Jobs | Pr”

“Harnessing Data Powerhouse with Azure Databricks — Azure Databricks provides a robust platform for big data analytics and machine learning. Its performance and scalability make it ideal for enterprise-level data processing, and the integration with Azure services streamlines work”

“データレイクのデータ一覧と、コードを実行するＰｙｔｈｏｎノートブックが同一の画面に出てくるので、画面の行ったり来たりが無く使いやすい。また、ｓｐａｒｋテーブルのまま保存することができるので、クエリの実行結果が返ってくるのが非常に早い。さらに、他のＭＳ製品ともシームレスに繋ぐことができ、作業負荷が小さい。 — 強いて言うならば、データレイクなので、テーブルの命名規則を事前に設定・整備しておかないと、テーブルの一覧が煩雑になってしまうことでしょうか。”

“I start my day by opening up Databricks notebooks to clean and process raw data logs. The collaborative workspace is easily one of my favorite parts. When my team and I are working on the same notebook, the real-time co-authoring makes debugging incredibly easy. The Managed Apach”

“Abismal user experience Terribly slow UI, no clue why, structure is far from intuitive and AI, that is supposed to help, doesn't answer Question but tries to interpret it and solve it straight away”

“What I personally liked most was how easy it became to handle large-scale data workflows in one place. Earlier we were using separate tools for processing, notebooks, and collaboration which became messy very fast. With Databricks, the team could collaborate on notebooks, run pip”

“The ecosystem. What I like most about Databricks is how it removes a lot of the usual mess you run into with data work. Instead of juggling separate tools for engineering, analytics, and ML—and then spending extra time getting them to talk to each other—it brings everything into ”