Application and Database migrations can be a cause for concern. How many times have you heard, "If it isn't broke don't fix it". Come see how you can give confidence to key stake holders on testing the process.
This session will talk about how you can combine the serverless power of Azure Functions with the flexibility of Azure Cosmos DB to process large amounts of data and gain real-time insights.
In this session we'll focus on the benefits of using Azure Data Lake. We will cover how we use ADLS in real projects to produce a security architecture which is adaptable, scalable and provides monitoring capabilities.
We will see how to construct a cloud-first architecture based on serverless data analytics. We will look at specific challenges and cost saving strategies, to produce a reliable, scalable and cost effective solution!
How do we handle the edge cases, the unique or temporary solutions to get data from emails, file shares, FTP, a user's desktop etc? We need DIY ETL when the easy data sources don't exist, and the usual methods won't work
Date fields play an important role in virtually all cases of advanced analytics. The "problem & solution" style session can be very useful given the large number and variety of scenarios that may arise
Are you a .NET developer who's being FOMO'ing over all the machine learning goodness? Thanks to ML.NET, this is no longer the case! Learn how you can use your C# skills to build some awesome ML applications!
An opportunity to explore Scala, and why it is truly a “Data Engineers language”. Using Azure Functions, Data Factory, Azure Data Lake Gen2 and Databricks the basics will be explored, followed by real world examples
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