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Conference
Join Rob and Ben for a fun filled hour from the community for the community as they invite a concatenation of community experts on stage and let them show us what their favorite data platform feature is and why!
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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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A guide to available services and solutions for timeseries data
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In this demo-filled session we get an overview of Azure Data Explorer, which is a fast, fully managed data analytics service for real-time analysis on large volumes of data streaming from applications, websites, IoT devices, and more. We look at how to ingest data, as well as query in real-time against billions of rows with sub-second latency.
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Using open source apache nifi to integrate and ingest data at scale
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In this session we will introduce Azure Container Apps and understand how it can be used as a simple and cost-effective way to host applications in Azure
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Data Engineer is an exciting and rewarding role. This session will describe a data engineer's responsibilities and give an overview of the skills needed to be an Azure Data Engineer.
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Overview to some of the more popular Azure Data Engineering services used to analyze data
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I will show a few challenges while deploying Azure Data Factory and solution for them.
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This session will introduce you to "What and why you should care about", and discuss "how" to apply the Security and Privacy lens for Big Data on AWS.
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Find out everything you need to know to get started with Azure Cosmos DB in 20 minutes or less.
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I'll explain the current popular data architectures: Data Lakehouse, Data Mesh, and Data Fabric
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In this session, we will cut through the marketing buzzwords to share experiences, tips, and tricks on how to be successful with Data Science and Analytics in the real world. Tune in to hear the team share real-world experience and get takeaways from industry insiders on real projects with impact. We will also discuss the ethics and fairness of Data Science and Analytics projects and how we can be more inclusive from a technology, people, and process standpoint.
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Session covering table distributions, partitioning , RSC and materialised views.
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Being data-driven is all about making decisions based on insights generated using data.​
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Being data-driven is all about making decisions based on insights generated using data.​
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Building a Data Quality implementation in Purview using the Glossary and Databricks
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Hybrid Transactional Analytical Processing solve the age old problem of integrating operational processes with analytical capabilities within a single system. Find out what they're and how they deliver value
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In this demo filled session we see how we use ksqlDB to gain real-time insights into streaming data. We look at push/pull queries, User Defined Functions, tables and streams.
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