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By Datalogz in Data Dive — Jun 28, 2024

Data Dive #26: 🛠️ Navigating the Transition from Power BI Premium to Microsoft Fabric

Datalogz can help you facilitate a seamless transition from Power BI Premium to Microsoft Fabric.

Data Dive #26: 🛠️ Navigating the Transition from Power BI Premium to Microsoft Fabric

In an evolving landscape of business intelligence tools, Microsoft's recent announcement marks a significant shift for Power BI Premium users. Beginning January 1, 2025, the transition from Power BI Premium's per capacity SKUs (P-SKUs) to Microsoft Fabric will commence, integrating the functionalities of Power BI with Azure Synapse Analytics and Azure Data Factory.

What’s Changing?

Microsoft is set to retire Power BI Premium per capacity SKUs, urging customers to adopt Microsoft Fabric. This new platform not only preserves the strengths of Power BI but also enhances capabilities by merging with Azure's powerful analytics services. The change underscores Microsoft's push towards a more integrated and scalable business intelligence environment.

Transitioning to Microsoft Fabric presents multiple advantages:

  • Flexibility: Users can select from a diverse range of SKU sizes with the convenience of pay-as-you-go billing.
  • Advanced Features: Gain exclusive access to Azure-specific features such as Trusted Workspace Access for OneLake and Managed Private Endpoints for Spark.
  • Cost Efficiency: With Microsoft Azure Consumption Commitment (MACC), expenditures on Fabric can be allocated towards your MACC commitment, optimizing overall costs.
  • Scalability: Adjust your scale dynamically according to business demands and economize by pausing capacities during less active periods.

Datalogz can help you facilitate a seamless transition!

Read the Full Blog Here

đź’Ž Data Leadership Secrets Unplugged: A Fireside Chat with Industry Titans

Our recent event at the Snowflake Summit in San Francisco was a huge hit! đźš€

The discussion, moderated by Ray Lane and featuring industry titans Sid Raisoni, Mengying Li, and John Sviokla, delved into crucial topics such as data-driven decision-making, fostering data-centric cultures within organizations, and risk management with a focus on predictive risk assessment and mitigation strategies. The discussion also emphasized the importance of adhering to data privacy laws and regulations, including GDPR and CCPA, and explored future trends and emerging technologies.

We extend our heartfelt thanks to our sponsors GreatPoint Ventures, Silicon Valley Bank, Ridge Ventures, and Jones Day.


Seize the Data #5 - Steve Miller, a seasoned data professional with over 17 years of experience!

Steve is a seasoned data professional with over 17 years of experience in data strategy, marketing analytics, and technology enablement. He has led cross-functional teams at prominent companies like Signet Jewelers, Optimizely, Mixbook, and Apple, driving innovation and delivering impactful data solutions across various industries.

Watch the Complete Episode Here

Future Frontiers: Navigating Enterprise Analytics in the AI Era with the former US Chief Data Scientist and CDAO of Pfizer

Calling all CDOs, CIOs, CISOs, and data leaders driving innovation in Fortune 1000 enterprises based in NYC!

​Join us for a thoughtful discussion on the future of analytics and business intelligence, exploring their impact on the enterprise landscape. The panel features distinguished speakers, including DJ Patil, the former Chief Data Scientist of the United States, and Xingchu Liu, the Chief Commercial and Analytics Officer of Pfizer, with moderation by Logan Havern, CEO and Founder of Datalogz.

RSVP Here


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