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Davide Mauri

A place for my thoughts and experiences the Microsoft Data Platform

(Initial) Conference Plan for 2016

2016 has not started yet and already looks exciting to me! I already have plans for several conferences and I’d like to share it with you all in case you’re interested in some topics.

I’ll be presenting at Technical Cloud Day, on January 26th a local Italian event and I’ll be speaking about

  • Azure Machine Learning
  • Azure Stream Analytics

If you’re interested (and speak Italian) here’s the website:

I’ll also be present at some international events, like

SQL Konferenz

here I’ll delivery my “classic” Agile Data Warehousing workshop, during the Pre-Con days.

  • Why a Data Warehouse?
  • The Agile Approach
  • Modeling the Data Warehouse
    • Kimball, Inmon & Data Vault
    • Dimensional Modeling
    • Dimension, Fact, Measures
    • Star & Snowflake Schema
    • Transactional, Snapshot and Temporal Fact Tables
    • Slowly Changing Dimensions
  • Engineering the Solution
    • Building the Data Warehouse
      • Solution Architecture
      • Naming conventions, mandatory columns and other rules
      • Views and Stored Procedure usage
    • Loading the Data Warehouse
      • ETL Patterns
      • Best Practices
    • Automating Extraction and Loading
      • Making the solution automatable
      • BIML
  • Unit Testing Data
  • The Complete Picture
    • Where Big Data comes into play?
  • After the Data Warehouse
    • Optimized Hardware & Software
  • Conclusion

You can find more here:

I’ll also have a regular session dedicated to SSISDB and its internals: SSIS Monitoring Deep Dive. I’ll show what’s inside and how you can use such knowledge to build (and improve) something like my SSIS Dashboard:

SQL Nexus

This is a new Nordic Conference where I’ll deliver along with Allan Mitchell where I’ll be presenting a new, super-cool IMHO, workshop. We’ll discuss about the Lambda Architecture, a new generic reference architecture to build Real-Time Analytics solution, and how it can be built using the features that Azure offers. We’ll show how to use Azure Event Hubs, Stream Analytics, Data Lake Power BI and may other cool technologies from Azure.

You can find more details here:

Reference Big Data Lambda Architecture in Azure
The Lambda Architecture is a new generic, scalable and fault-tolerant data processing architecture, that is becoming more and more popular now that big data and real-time analytics are frequently requested by end users, enabling them to make informed decisions more precisely and quickly. During this full-day workshop we'll see how the Azure Data Platform can perfectly support such an architecture and how to use each technology to build it. From Azure IoT Hub and Azure Stream Analytics to Azure Data Lake and Power BI, we'll build a small Lambda-Architecture solution so that you'll be able to become confident with it and its implementation using Azure technologies.

Well if you’re interested in one or more of these topics, you know where to go now. Bye!

Published Tuesday, December 22, 2015 12:44 PM by Davide Mauri

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abx said:


May 31, 2018 10:57 PM

chenjinyan said:


August 22, 2018 11:17 PM

chenlixiang said:


August 27, 2018 7:51 PM

chenlixiang said:


August 27, 2018 7:54 PM

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About Davide Mauri

Director of Software Development & Cloud Infrastructure @ Sensoria, an innovative smart garments and wearable company. After more than 15 year playing with the Microsoft Data Platform, with a specific focus on High Performance databases, Business Intelligence, Data Science and Data Architectures, he's now applying all his skills to IoT, defining architectures to crunch numbers, create nice user experiences and provide meaningful insights, all leveraging Microsoft Azure cloud. MVP on Data Platform since 2006 he has a very strong background development and love both the ER model and OO principles. He is also a fan of Agile Methodology and Automation, which he tries to apply everywhere he can, to make sure that "people think, machines do".

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