Send us a text

Support the show

Thank you for tuning in to "Analyze Happy: Crafting Your Data Estate"!
We hope you enjoyed today’s deep dive. If you found this episode helpful, don’t forget to subscribe for more insights on building modern data estates with Microsoft technologies like Fabric, Azure Databricks, and Power Platform.

Connect with Us:

• Have a question or topic you’d like us to cover? Reach out on linkedin.com/company/dataqubi or [email protected]
• Visit our website at www.dataqubi.com or episode resources, show notes, and additional tips on data governance, AI transformation, and best practices.

Stay Ahead:
Check out the Microsoft Learn portal for free training on Azure IoT, Fabric, and more, or explore the Azure Databricks community for the latest updates. Let’s keep crafting data solutions that fit your organization’s culture and tech landscape—happy analyzing until next time!

Send us a text

Support the show

Thank you for tuning in to "Analyze Happy: Crafting Your Data Estate"!
We hope you enjoyed today’s deep dive. If you found this episode helpful, don’t forget to subscribe for more insights on building modern data estates with Microsoft technologies like Fabric, Azure Databricks, and Power Platform.

Connect with Us:

• Have a question or topic you’d like us to cover? Reach out on linkedin.com/company/dataqubi or [email protected]
• Visit our website at www.dataqubi.com or episode resources, show notes, and additional tips on data governance, AI transformation, and best practices.

Stay Ahead:
Check out the Microsoft Learn portal for free training on Azure IoT, Fabric, and more, or explore the Azure Databricks community for the latest updates. Let’s keep crafting data solutions that fit your organization’s culture and tech landscape—happy analyzing until next time!

Send us a text

In this episode, we break down the concept of data contracts—what they are, why they matter, and how they’re revolutionizing modern data architecture. From preventing schema drift to improving data quality and enforcing accountability, data contracts are quickly becoming the secret weapon of data-driven teams. Whether you're a data engineer, analytics leader, or product owner, you’ll learn how formalizing expectations between data producers and consumers can reduce breakages, increase trust, and align your organization around reliable insights. Plus, hear real-world examples and emerging standards that are shaping the future of data governance. 

Support the show

Thank you for tuning in to "Analyze Happy: Crafting Your Data Estate"!
We hope you enjoyed today’s deep dive. If you found this episode helpful, don’t forget to subscribe for more insights on building modern data estates with Microsoft technologies like Fabric, Azure Databricks, and Power Platform.

Connect with Us:

• Have a question or topic you’d like us to cover? Reach out on linkedin.com/company/dataqubi or [email protected]
• Visit our website at www.dataqubi.com or episode resources, show notes, and additional tips on data governance, AI transformation, and best practices.

Stay Ahead:
Check out the Microsoft Learn portal for free training on Azure IoT, Fabric, and more, or explore the Azure Databricks community for the latest updates. Let’s keep crafting data solutions that fit your organization’s culture and tech landscape—happy analyzing until next time!

Send us a text

In this episode, we unpack the evolving compliance landscape for private equity firms in 2025, where regulatory pressure is intensifying across jurisdictions. From GDPR and CCPA to SOX and the EU’s CSRD, today’s PE leaders must navigate an intricate web of rules—all while managing sensitive data, stakeholder trust, and portfolio-wide transparency.

You’ll learn:

• The key compliance frameworks every PE firm must understand—from GDPR to ESG reporting
• Practical use cases for centralized data governance using platforms like Allvue and Snowflake
• How leading firms are using data infrastructure to drive portfolio value and audit readiness
• What’s changed recently: CSRD enforcement, SEC crackdowns, anti-money laundering updates
• Common pitfalls in PE compliance—and how to avoid them
• Recommended tools to automate, scale, and safeguard your compliance programs
• Insights from legal and regulatory thought leaders on X (formerly Twitter)

Whether you’re a privacy officer, fund general counsel, data leader, or PE executive, this is your tactical guide to staying compliant, reducing risk, and creating value in a world of rising scrutiny.

Support the show

Thank you for tuning in to "Analyze Happy: Crafting Your Data Estate"!
We hope you enjoyed today’s deep dive. If you found this episode helpful, don’t forget to subscribe for more insights on building modern data estates with Microsoft technologies like Fabric, Azure Databricks, and Power Platform.

Connect with Us:

• Have a question or topic you’d like us to cover? Reach out on linkedin.com/company/dataqubi or [email protected]
• Visit our website at www.dataqubi.com or episode resources, show notes, and additional tips on data governance, AI transformation, and best practices.

Stay Ahead:
Check out the Microsoft Learn portal for free training on Azure IoT, Fabric, and more, or explore the Azure Databricks community for the latest updates. Let’s keep crafting data solutions that fit your organization’s culture and tech landscape—happy analyzing until next time!

Send us a text

In this episode, we dive deep into how Microsoft Fabric is revolutionizing enterprise data architecture with its powerful Domains feature—an essential building block for implementing a modern data mesh.

Join us as we explore:

• What a data mesh really is—and why it's the future of scalable, decentralized data operations
• How Fabric Domains enable domain-oriented ownership, self-serve data infrastructure, and federated governance
• Step-by-step guidance on structuring domains, assigning roles, and automating workspace assignments
• Real-world tips for simplifying data discovery with subdomains and domain images
• Best practices to empower business units without compromising control

Whether you're a Fabric admin, data strategist, or just getting started with Microsoft’s analytics stack, this episode equips you with actionable insights to build a truly federated, governed, and agile data ecosystem.

Support the show

Thank you for tuning in to "Analyze Happy: Crafting Your Data Estate"!
We hope you enjoyed today’s deep dive. If you found this episode helpful, don’t forget to subscribe for more insights on building modern data estates with Microsoft technologies like Fabric, Azure Databricks, and Power Platform.

Connect with Us:

• Have a question or topic you’d like us to cover? Reach out on linkedin.com/company/dataqubi or [email protected]
• Visit our website at www.dataqubi.com or episode resources, show notes, and additional tips on data governance, AI transformation, and best practices.

Stay Ahead:
Check out the Microsoft Learn portal for free training on Azure IoT, Fabric, and more, or explore the Azure Databricks community for the latest updates. Let’s keep crafting data solutions that fit your organization’s culture and tech landscape—happy analyzing until next time!

Send us a text

In this deep-dive episode, we explore the complexities—and solutions—of managing data governance across a hybrid architecture combining Azure Databricks with Unity Catalog and Microsoft Fabric with OneLake. If your organization handles PII across cloud platforms, this conversation is for you.

We unpack:

• Why the lack of private endpoint integration between Unity Catalog and Fabric’s OneLake creates governance gaps
• How Microsoft Purview can become your unified metadata and policy enforcement layer, avoiding duplication and inconsistencies
• What role Unity Catalog plays in fine-grained, VNet-confined PII governance
• Why you should minimize reliance on OneLake Catalog for sensitive data governance
• How GitHub Copilot and Azure SRE Agent can automate metadata management, enforce compliance, and even fix RBAC violations automatically
• Four governance architecture options—and why centralizing in Purview is the top recommendation
• A cost-benefit analysis for enterprises evaluating whether the complexity is worth it

We end with practical steps for getting started, including setting up scanning rules, securing data flows, and creating automated anonymization pipelines.

Whether you're a data architect, CISO, or governance lead, this episode will arm you with a clear strategy to govern hybrid data platforms securely and efficiently.

Support the show

Thank you for tuning in to "Analyze Happy: Crafting Your Data Estate"!
We hope you enjoyed today’s deep dive. If you found this episode helpful, don’t forget to subscribe for more insights on building modern data estates with Microsoft technologies like Fabric, Azure Databricks, and Power Platform.

Connect with Us:

• Have a question or topic you’d like us to cover? Reach out on linkedin.com/company/dataqubi or [email protected]
• Visit our website at www.dataqubi.com or episode resources, show notes, and additional tips on data governance, AI transformation, and best practices.

Stay Ahead:
Check out the Microsoft Learn portal for free training on Azure IoT, Fabric, and more, or explore the Azure Databricks community for the latest updates. Let’s keep crafting data solutions that fit your organization’s culture and tech landscape—happy analyzing until next time!

Send us a text

In this episode, we dive deep into how Microsoft Fabric stacks up against Azure Databricks' Unity Catalog when managing confidential and highly regulated data like Personally Identifiable Information (PII). You'll learn:

• The current state of Fabric's governance features, including Purview integration, access control via Azure AD, and OneLake's secure storage capabilities.
• How Unity Catalog excels with granular RBAC, real-time lineage tracking, and VNet-native security.
• Practical guidance for setting up hybrid architectures that leverage both platforms for secure, compliant data modernization.
• Real-world tips on anonymizing PII, monitoring with Azure SRE Agent, and automating policy enforcement with GitHub Copilot.

Whether you're planning a secure BI layer, orchestrating PII data flows, or modernizing legacy systems—this episode equips you with the clarity and strategy to make confident decisions on Fabric and Databricks in the Azure ecosystem.

Support the show

Thank you for tuning in to "Analyze Happy: Crafting Your Data Estate"!
We hope you enjoyed today’s deep dive. If you found this episode helpful, don’t forget to subscribe for more insights on building modern data estates with Microsoft technologies like Fabric, Azure Databricks, and Power Platform.

Connect with Us:

• Have a question or topic you’d like us to cover? Reach out on linkedin.com/company/dataqubi or [email protected]
• Visit our website at www.dataqubi.com or episode resources, show notes, and additional tips on data governance, AI transformation, and best practices.

Stay Ahead:
Check out the Microsoft Learn portal for free training on Azure IoT, Fabric, and more, or explore the Azure Databricks community for the latest updates. Let’s keep crafting data solutions that fit your organization’s culture and tech landscape—happy analyzing until next time!

Send us a text

In this deep-dive episode, we unpack the technical and strategic implications of integrating Databricks with Microsoft Fabric. As enterprises increasingly operate across hybrid data ecosystems, ensuring seamless interoperability between platforms is critical. This episode covers the full landscape—OneLake mounting techniques, Delta Sharing, Unity Catalog mirroring, and Direct Lake integration with Power BI.

You’ll learn:

• How to securely mount and access OneLake and ADLS Gen2 from Databricks
• When to use service principals vs. credential passthrough
• What Delta Sharing enables between Databricks and Fabric, and its governance model
• How Lakehouse Federation supports federated querying across systems
• Why Unity Catalog mirroring to Fabric Lakehouse is a game-changer—and its limitations
• How Direct Lake mode in Power BI reshapes performance and semantic model design
• Practical guidance on security, schema consistency, and performance trade-offs

Whether you're a data architect, platform engineer, or analytics leader, this episode equips you with the insights to design and optimize cross-platform data architectures that scale.

Support the show

Thank you for tuning in to "Analyze Happy: Crafting Your Data Estate"!
We hope you enjoyed today’s deep dive. If you found this episode helpful, don’t forget to subscribe for more insights on building modern data estates with Microsoft technologies like Fabric, Azure Databricks, and Power Platform.

Connect with Us:

• Have a question or topic you’d like us to cover? Reach out on linkedin.com/company/dataqubi or [email protected]
• Visit our website at www.dataqubi.com or episode resources, show notes, and additional tips on data governance, AI transformation, and best practices.

Stay Ahead:
Check out the Microsoft Learn portal for free training on Azure IoT, Fabric, and more, or explore the Azure Databricks community for the latest updates. Let’s keep crafting data solutions that fit your organization’s culture and tech landscape—happy analyzing until next time!

Send us a text

n this episode, we dive deep into SAP’s strategic integration with Databricks—powered by SAP Business Data Cloud (BDC)—to explore how enterprises are unlocking AI, machine learning, and real-time analytics on top of their most critical business data without costly data replication.

We’ll break down:

• What SAP Business Data Cloud is and why it matters
• How Delta Sharing enables zero-copy, bidirectional access between SAP and Databricks
• The pros, cons, and cost structures of different integration models—from BDC-native to JDBC and Kafka
• The latest updates from SAP Sapphire 2024, including cloud discounts and partner ecosystem growth
• Key cost drivers like egress fees, and how to optimize cloud region placement to save big
• Strategic recommendations, including hybrid architectures and real-world use cases across ERP, AI, and real-time streaming
• Why governance and compliance (e.g., GDPR, Unity Catalog) must be part of your data architecture from day one

If you’re a data architect, SAP lead, or AI/analytics executive evaluating SAP-Databricks integration, this episode will give you the practical insights and strategic playbook to deploy a scalable, secure, and cost-efficient solution that actually delivers business value.

Support the show

Thank you for tuning in to "Analyze Happy: Crafting Your Data Estate"!
We hope you enjoyed today’s deep dive. If you found this episode helpful, don’t forget to subscribe for more insights on building modern data estates with Microsoft technologies like Fabric, Azure Databricks, and Power Platform.

Connect with Us:

• Have a question or topic you’d like us to cover? Reach out on linkedin.com/company/dataqubi or [email protected]
• Visit our website at www.dataqubi.com or episode resources, show notes, and additional tips on data governance, AI transformation, and best practices.

Stay Ahead:
Check out the Microsoft Learn portal for free training on Azure IoT, Fabric, and more, or explore the Azure Databricks community for the latest updates. Let’s keep crafting data solutions that fit your organization’s culture and tech landscape—happy analyzing until next time!

Send us a text

In this episode, we unpack what it truly means to be AI-ready in today’s enterprise landscape. While many companies rush into “shiny AI use cases,” we go deeper—breaking down the three pillars of readiness: data quality, infrastructure maturity, and human capital. But that’s just the starting point.

Drawing from the latest Cisco AI Readiness Index and industry reports, we explore:

• Why “strategy without execution is just hallucination” in AI
• How to overcome hidden pitfalls like disconnected data and underprepared infrastructure
• What a holistic AI-readiness framework looks like—spanning ethics, financial planning, and cultural adaptability
• How only 13% of companies globally are fully AI-ready—and what separates the pacesetters from the laggards
• Real-world insights on aligning use cases to actual infrastructure and talent maturity

Whether you’re a CDO, CIO, CTO, or enterprise strategist, this episode delivers an actionable roadmap for building sustainable, scalable, and secure AI initiatives in your organization.

Support the show

Thank you for tuning in to "Analyze Happy: Crafting Your Data Estate"!
We hope you enjoyed today’s deep dive. If you found this episode helpful, don’t forget to subscribe for more insights on building modern data estates with Microsoft technologies like Fabric, Azure Databricks, and Power Platform.

Connect with Us:

• Have a question or topic you’d like us to cover? Reach out on linkedin.com/company/dataqubi or [email protected]
• Visit our website at www.dataqubi.com or episode resources, show notes, and additional tips on data governance, AI transformation, and best practices.

Stay Ahead:
Check out the Microsoft Learn portal for free training on Azure IoT, Fabric, and more, or explore the Azure Databricks community for the latest updates. Let’s keep crafting data solutions that fit your organization’s culture and tech landscape—happy analyzing until next time!