Are you planning a migrating of your data platform to Azure Synapse Analytics? Is it currently based on Azure Databricks, Azure Data Factory, and Azure Data Lake Storage? Make sure to grab these 10 tips! We'll talk about Spark compatibilities, orchestration pitfalls and solution deployment differences.
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Introduction into Terraform, Databricks provider and steps required to build an automated solution to provision Databricks workspace and resources into Azure cloud platform using Terraform.
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Overview to some of the more popular Azure Data Engineering services used to analyze data
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A intro session showing the whys, how's and what's for building a Data Lakehouse in Azure Synapse Analytics
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Reality Check on Microsofts Enterprise Scale Analytics Framework
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Building a Data Quality implementation in Purview using the Glossary and Databricks
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A session following the evolution of lakehouse architectures alongside the new techniques for code automation & metadata management they unlock
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This session will discuss a custom solution we have built to solve the problem of row level encryption in a highly complex data lake.
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A variety of 5 minute sessions to include:
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Understanding how the parquet format works helps with understanding why it can help you retreive your data fast, or perhaps why you struggle to get the desired performance out of your design.
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Curious what Azure Synapse Analytics brings to the table? Bring your scuba gear, as we take a dive and explore everything it has to offer!
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Do your source systems contain duplicate data? Are the business begging you to merge together multiple, disparate sources to provide a single view of entities such as products and customers? Are you struggling to meet these requirements using PaaS services in Azure? If so, then this session is for you.
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Everything you need to know for impelenting a Lakehouse in the enterprise
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An introduction to becoming a Data Engineer, Anna, Mikey and Ust will introduce the technology stack, tools and development skills needed for data engineering and show you how and where to go to learn them. We'll also show you how the skills you already have can kickstart your journey to becoming a Data Engineer.
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How has advancements in highly scalable cloud technology influenced the design principals we apply when building data platform solutions?
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This session is designed to explore some of the powerful features that made Databricks the leader in the Gartner 2021 Quadrant for Data Science and Machine Learning.
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