The old school lesson "do not store large objects into database" is now really deprecated. In this session we see how a (used-to-be-a) relation database like Azure SQL Database can handle tons of JSON objects with effectiveness. We'll see how this enables a shortcut between the raw data orignally stored into a data lake, and the relational view consumed by the analysis applications.
I've been an independent IT consultant since I started to work. After my MSc in computer science engineering with a thesis about consumer cloud computing I got specialization in Cloud and Azure. Today I work as a freelance consultant for major companies in Italy, helping clients to design and kick-off their distributed software solutions. I wrote some books on Microsoft Azure, for K12 education and I train/speak for the developer community in many national and international conferences. I hold 45+ technical certifications on various vendors (MS, Sun, EXIN, Apple, Cisco, IBM) and I am a Microsoft MVP since 2010. In the last years I've been also CTO for ReStore, an eCommerce company leading the Click & Collect Italian eCommerce market for grocery, and now for Witailer, a leading company in the Amazon and eMarketplace services for brands.
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