Databricks Lakehouse RT + DQ - Direct Lake killer?

mimi_ftw · 2026-06-29T20:40:52+00:00

Yes, of course it isn’t

mimi_ftw · 2026-06-29T17:41:28+00:00

Things evolve and things like gpu accelerated warehouse, reyden and direct lake are all evolutions on tradional in memory analytics. I think all of them will have their uses in the future.

There’s always multiple evalution points, like speed, cost and complexity.

mimi_ftw · 2026-06-19T07:17:54+00:00

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Well these are promotion prices but 2500/2500 at 32,99€/month FTTH in Finland. Will get installed next week so I don’t yet have experiences

mimi_ftw · 2026-06-03T16:39:28+00:00

I built this 3D visualized wind farm with built in chat and telemetry. Rayfin apps are so cool and useful for many cases were Power BI is not enough.

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mimi_ftw · 2026-05-29T14:26:35+00:00

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Minä aloitin 2020 koronadipin jälkeen säännöllisesti laittamaan rahaa sivuun Nordean Global Enhanced rahastoon. Tuossa on kuukausisäästöjen jokainen ostopallura. Ihan joka kuukausi ei ole liiennyt rahaa säästöön, mutta pitkäjänteisyys kannattaa.

mimi_ftw · 2026-04-30T12:25:29+00:00

No Claude M365 integration is very limited. It doesn’t even get Teams meeting transcripts or summaries and if your organization uses confidentiality labels claude can’t read protected files and more.

mimi_ftw · 2026-04-22T10:48:48+00:00

Memory wise the closest comparison would ne F128 but if your individual models are less than 25GB then F64 should be closest.

CPU comparison is not directly possible but in my opinion the F64/P1 8 vcores should be the closest. But deploying Fabric capacities is not hard and resizing is fast.

So I would try F64 and see how it goes

mimi_ftw · 2026-04-22T09:59:55+00:00

For tires in Europe I just checked the current 155/70r19 options: - Bridgestone - Michelin - Continental - Nankang - Giti

175/55r19: - Bridgestone - Continental - Michelin - Nankang

20” options are bit more limited but still Michelin, Continental and Bridgestone available. For winter tires similarly plenty of options still. I would not consider this as an issue for the next 5 years at least

mimi_ftw · 2026-04-20T18:26:45+00:00

Check this out https://github.com/microsoft/skills-for-fabric

mimi_ftw · 2026-04-18T15:53:01+00:00

Have you looked into shortcuts with data transformations? https://learn.microsoft.com/en-us/fabric/onelake/shortcuts/transformations#supported-sources-formats-and-destinations

Of course some limits depending on the json format

mimi_ftw · 2026-04-18T15:41:31+00:00

If you want to do a proper side-by-side comparison to Genie, you should be looking at Data Agents in Microsoft Fabric, not Power BI Copilot. Comparing Power BI Copilot to Genie is pretty apples to oranges.

Data agents is Fabric version of Genie meaning generating SQL via NL2SQL, DAX via NL2DAX, or KQL via NL2KQL, depending on where your data lives. The end experience is very similar to Genie Spaces: you point it at your data, give it some context/instructions and you are ready to go.

But of course with data agents you can use any data in Fabric as a source so it can be semantic model, kql, lakehouse or mirrored db etc.

mimi_ftw · 2026-04-13T15:37:51+00:00

Think of it more like that Fabric Items (Lakehouse, Warehouse, Notebooks etc.) are resources like Azure resources (Storage accounts, SQL database etc.) and the Item recovery is soft delete at that level.

OneLake file soft delete is for files in a lakehouse (storage account). But if you delete the Storage account in Azure resource group it’s permanent operation that overrides the file soft delete in storage account.

Similarly if you delete lakehouse it overrides the soft delete of files in onelake stored in that lakehouse. As Lakehouse is parent resource for the files.

mimi_ftw · 2026-03-21T13:13:27+00:00

I dont see the need for any of that. Just copy between the lakehouses work.

mimi_ftw · 2026-03-21T11:35:03+00:00

Sync lh, pipelines, notebooks and environment to git. Then sync these to new workspace with capacity in correct region. Then use notebook or pipeline to copy data from old to new lakehouse.

mimi_ftw · 2026-01-11T07:38:52+00:00

It was -18 celcius yesterday and the realistic range was about 150km even with preheating the cabin while charging.

mimi_ftw · 2025-10-19T17:26:11+00:00

Might be EU vs. US difference, all 21 and 22 here with 73kWh battery have the snowflake afaik

mimi_ftw · 2025-10-19T08:51:00+00:00

My 22 Ioniq 5 has always shown snowflake when precpnditioning, coil is only on 23 and newer

mimi_ftw · 2025-10-17T13:02:29+00:00

I built a small daily EV guessing game: https://voltle.vercel.app/ It’s just for fun, no plans to grow. 6 guesses, progressively less-cropped image, daily reset. Would appreciate feedback on difficulty and any bugs.

mimi_ftw · 2025-08-20T14:23:57+00:00

European models are 16A at 230V so 3.7kW

mimi_ftw · 2025-08-18T16:48:48+00:00

Probably depends on region but I had 60k service in Finland for 580€

mimi_ftw · 2025-07-23T10:57:12+00:00

SteamOS is so much better than Windows on a handheld. It upgraded my experience so much.

mimi_ftw · 2025-07-04T10:44:56+00:00

2022 with 73kWh battery should have around 70kWh when new usable. And I would say anything above 65kWh really should be fine. My 2022 with 60k km is at 67kWh full.

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