Скачать или смотреть Paul Andrew : An Introduction to Azure Synapse - What is it? Why use it? And how?

Data.Toboggan : 12 Hours of Synapse is an Online Conference .

Paul Andrew presented An Introduction to Azure Synapse - What is it? Why use it? And how?

The Microsoft abstraction machine is at it again with this latest veneer over what we had come to understand as the 'modern data warehouse'. Or is it?! When creating an Azure PaaS data platform/analytics solution we would typically use a set of core Azure services; Data Factory, Data Lake, Databricks and SQL Data Warehouse. Now with the latest round of enhancements from the MPP team it seems in the third generation of the Azure SQLDW offering we can access all our core services as a bundle. Ok, so what? Well, this is a reasonable starting point to in our understanding of Azure Synapse, but is also far from the whole story. In this session we'll go deeper into the evolution of our SQLDW to complete our knowledge on why Synapse Analytics is a game changer for various data warehouse architectures. We'll discover what Synapse has to offer with its Data Virtualisation layer, flexible storage and multi model compute engines. A simple veneer of things, this new resource is not. In this introduction to Synapse we'll cover the what, that why and importantly the how for this emerging bundle of exciting services.

Azure Synapse Analytics is a practically limitless analytics service that brings together data integration, enterprise data warehousing and big data analytics. Let's spend a day exploring and showcasing these capabilities.


It is this analytical power that will help enable any organisation to transform from being reactive into being truly proactive, generating actionable insights that enable both business flow and timely decision-support.


This is a virtual event on Saturday 30 January 2021 and is free to attend.

http://www.datatoboggan.co.uk

Paul Andrew
Principal Consultant & Solution Architect, Data Platform MVP

Microsoft MVP (verified)
Principal consultant and architect specialising in big data solutions on the Microsoft Azure cloud platform.
Data engineering competencies include Azure Data Factory, Data Lake, Databricks, Stream Analytics, Event Hub, IoT Hub, Functions, Automation, Logic Apps and of course the complete SQL Server business intelligence stack.
Many years’ experience working within healthcare, retail and gaming verticals delivering analytics using industry leading methods and technical design patterns.
STEM ambassador and very active member of the data platform community delivering training and technical sessions at conferences both nationally and internationally.
Father, husband, swimmer, cyclist, runner, blood donor, geek, Lego and Star Wars fan!

@mrpaulandrew
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