Daniel A. Seara is an experienced software developer. He has more than 20 years’ experience as a technical instructor, developer, and development consultant. Daniel has worked as a software consultant in a wide range of companies in Argentina, Spain, and Peru. He has been asked by Peruvian Microsoft Consulting Services to help several companies in their migration path to .NET Framework development.Daniel was Argentina’s Microsoft Regional Director for 4 years and was the first nominated Global Regional Director, a position he held for two years. He was also the manager of the De­sarrollador Cinco Estrellas I (Five-Star Developer) program, one of the most successful training projects in Latin America. Daniel held a Visual Basic MVP status for more than 10 years, as well as a SharePoint Server MVP status from 2008 until 2014. Additionally, Daniel is the founder and “Dean” of Universidad .NET, the most visited Spanish language site on which to learn .NET. In 2005, he joined Lucient, the leading global company on the Microsoft Data Platform, where he has been working as a trainer, consultant, and mentor.Francesco Milano has been working with Microsoft technologies since 2000. Francesco specializes in the .NET Framework and SQL Server platform, and he focuses pri­marily on back-end development, integration solutions, relational model design, and imple­mentation. Since 2013 Francesco has also been exploring emerging trends and technologies pertaining to the big data and advanced analytics world, consolidating his knowledge of products like Azure HDInsight, Databricks, Azure Data Factory, and Azure Synapse Analytics.Francesco is a speaker at prominent Italian data platform conferences and workshops. In 2015, he joined Lucient, the leading global company on the Microsoft Data Platform, where he has been working as a trainer, consultant, and mentor.

• IntroductionCHAPTER 1 Describe core data conceptsCHAPTER 2 Describe how to work with relational data on AzureCHAPTER 3 Describe how to work with non-relational data on AzureCHAPTER 4 Describe an analytics workload on Azure

Daniel A. Seara is an experienced software developer. He has more than 20 years’ experience as a technical instructor, developer, and development consultant. Daniel has worked as a software consultant in a wide range of companies in Argentina, Spain, and Peru. He has been asked by Peruvian Microsoft Consulting Services to help several companies in their migration path to .NET Framework development.Daniel was Argentina’s Microsoft Regional Director for 4 years and was the first nominated Global Regional Director, a position he held for two years. He was also the manager of the De­sarrollador Cinco Estrellas I (Five-Star Developer) program, one of the most successful training projects in Latin America. Daniel held a Visual Basic MVP status for more than 10 years, as well as a SharePoint Server MVP status from 2008 until 2014. Additionally, Daniel is the founder and “Dean” of Universidad .NET, the most visited Spanish language site on which to learn .NET. In 2005, he joined Lucient, the leading global company on the Microsoft Data Platform, where he has been working as a trainer, consultant, and mentor.Francesco Milano has been working with Microsoft technologies since 2000. Francesco specializes in the .NET Framework and SQL Server platform, and he focuses pri­marily on back-end development, integration solutions, relational model design, and imple­mentation. Since 2013 Francesco has also been exploring emerging trends and technologies pertaining to the big data and advanced analytics world, consolidating his knowledge of products like Azure HDInsight, Databricks, Azure Data Factory, and Azure Synapse Analytics.Francesco is a speaker at prominent Italian data platform conferences and workshops. In 2015, he joined Lucient, the leading global company on the Microsoft Data Platform, where he has been working as a trainer, consultant, and mentor.

• IntroductionCHAPTER 1 Describe core data conceptsCHAPTER 2 Describe how to work with relational data on AzureCHAPTER 3 Describe how to work with non-relational data on AzureCHAPTER 4 Describe an analytics workload on Azure