SESSION Details

Lessons in Lakehouse Automation

The term Data Lakehouse is still new to many, but the technology has now reached a level of maturity and sophistication that makes it more accessible than ever before. But where do you start with building a Data Lakehouse? How can you achieve the same level of maturity that we have with relational data warehouses? How do you avoid reinventing the wheel?

In this session, we're going to take you on the journey that Advancing Analytics has taken over the past few years. Looking at the evolution of lakehouse architectures alongside the new techniques for code automation & metadata management that they unlock. We'll talk about some real-world problem scenarios and how you can model them within a reference architecture. We'll also touch upon our framework accelerator Hydr8 and how that design helps accelerate our client's lakehouse adoption.

Feedback link: https://sqlb.it/?7338

Starts: 12:00 10th Mar 2022
Ends: 12:50 10th Mar 2022

Q&As

Short Description
- A session following the evolution of lakehouse architectures alongside the new techniques for code automation & metadata management they unlock

Slidedeck Link

Lakehouse Lessons.pdf

Speakers

Simon Whiteley

Tags

AzureIntelligence and AnalyticsManaging Big DataDevelopingSuccessful DeliveryBig Data AnalyticsData LakeData Transformation and IntegrationData BricksModern AnalyticsIntermediateHow

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