DataVeld
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A blog on Power BI by Microsoft MVP David Eldersveld. Where David Eldersveld intended to showcase Data Analysis but now primarily writes about Microsoft Power BI.
Transition from Power BI Premium P SKU to Fabric F SKU: Impact of Enterprise Agreement (EA) Timeline
DataVeld
3d ago
Reading Time: 2 minutes
Last year, Microsoft introduced Microsoft Fabric, a unified SaaS platform that combines under one umbrella the best of Microsoft Power BI, various Azure PaaS offerings, and a host of new experiences related to data science, real-time analytics, and more. Fabric is underpinned by CAPACITY–the paradoxically simple yet complex measurement of compute resources powering various Power BI Fabric workloads.
FABRIC: SaaS rebrand
The same SaaS ecosystem Microsoft debuted as Power BI in 2015
ALSO FABRIC: new capabilities
A series of new workloads enabled independently of Fabric’s ..read more
DataVeld
11M ago
Reading Time: < 1 minute
Earlier you learned about setting up data pipelines in the Data Factory experience in Microsoft Fabric.
Today, learn a bit about how to monitor their execution.
https://learn.microsoft.com/fabric/data-factory/monitor-pipeline-runs
The post 40 Days of Fabric: Day 8 – Monitoring Pipelines appeared first on DataVeld ..read more
DataVeld
11M ago
Reading Time: < 1 minute
The Microsoft Fabric Data Factory experience contains both Pipelines and Dataflows. Pipelines is more of the classic PaaS Data Factory data engineering pipeline, while Dataflows traces its lineage to Power BI.
With Microsoft Fabric, however, the new Dataflows Gen2 feature to load and transform data is available. Among other features, you can even save the data to alternative destinations in Gen2!
Day 7 explores building a basic dataflow. Compare and contrast it with pipelines from yesterday to see what may fit your workflow.
https://learn.microsoft.com/fabric/data-f ..read more
DataVeld
11M ago
Reading Time: < 1 minute
Last day of Orientation Week!
Today, get a summary of Microsoft Fabric terminology including core terms for each Fabric experience.
https://learn.microsoft.com/en-us/fabric/get-started/fabric-terminology
Check back Monday for Day 6 and the start of “Experience of the Week”!
The post 40 Days of Fabric: Day 5 – Terminology appeared first on DataVeld ..read more
DataVeld
11M ago
Reading Time: < 1 minute
For Day 4 in the 40 Days of Fabric, learn about Direct Lake and the advantages over traditional DirectQuery or Import storage modes in Microsoft Power BI.
https://learn.microsoft.com/power-bi/enterprise/directlake-overview
The post 40 Days of Fabric: Day 4 – Direct Lake appeared first on DataVeld ..read more
DataVeld
11M ago
Reading Time: < 1 minute
After OneLake yesterday, now learn more about the basic concepts of Lakehouse in Microsoft Fabric: https://learn.microsoft.com/en-us/fabric/data-engineering/lakehouse-overview
The post 40 Days of Fabric: Day 3 – Lakehouse appeared first on DataVeld ..read more
DataVeld
11M ago
Reading Time: < 1 minute
Yesterday included an introduction to the SaaS foundation of Microsoft Fabric, personas, and OneLake.
Next for Day 2, learn more about how OneLake acts like a “OneDrive for Data”: One data lake per organization, the open Delta Lake format, with data virtualization available with Shortcuts to help eliminate silos, a file explorer for Windows, and more.
https://learn.microsoft.com/fabric/onelake/onelake-overview
The post 40 Days of Fabric: Day 2 – OneLake appeared first on DataVeld ..read more
DataVeld
11M ago
Reading Time: < 1 minute
Forty Days of Fabric! Learn a bit about Microsoft Fabric every day.
Maybe you caught the announcements around Microsoft Build nearly three weeks ago, but there is so much new material to digest with the evolution of Microsoft analytics with Fabric.
How is it different from Power BI? How does it extend Power BI? What are new terms like OneLake, Lakehouse, and more? Better people than I have all the answers to these types of questions, but I also hope to explore Fabric in “bite size chunks”.
Let’s kick it off easy on Day 1 with “What is Fabric?”
https://learn.microsof ..read more
DataVeld
11M ago
Reading Time: 3 minutes
Tableau has Python packages for working with its Hyper API, both for native operations (tableauhyperapi) or through pandas (pantab). With the recently announced public preview of Microsoft Fabric, you can also easily work with data sourced from Tableau Hyper files in a Fabric Lakehouse.
This post explores using the Notebook feature in Microsoft Fabric to convert a Hyper file that’s been loaded into a lakehouse as a file and convert it to parquet using pantab. From there, you can load as a Delta Lake table for use with other Fabric experiences such as Power BI.
To get st ..read more
DataVeld
1y ago
Reading Time: 3 minutes
Data visualization and design have been essential skills for anyone who wants to communicate insights from data effectively.
Creating engaging and informative visuals and reports often requires a lot of time and effort, however; and involves multiple iterations of data analysis, design choices, and feedback loops.
Is this lengthy process still relevant in the era of generative AI, where we can now automatically generate visuals and reports from data?
Even in its infancy, generative AI has upended the way we work. AI is now used for diverse purposes such as generating re ..read more