Big data-related sessions worth seeing on Build2016

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Preface: Build2016 After a long time, and now only to review, say those and big data related to the session, also because I recently in-depth research on this aspect of things.

The content of the Microsoft Developer Conference Build2016 from March 30 to April 1 exploded throughout. NET development community, everyone's enthusiasm was lit by Xamarin free open source, Bash on Windows, and so on. But behind these hot spots, I'm still more concerned with the session in the Big data field that I've been researching recently. I'll sort out some of the things I personally think are worth watching:

1,building Big Data applications using Spark and Hadoop

Spark is now using big data to preempt the thunder of Hadoop, and domestic internet companies have a lot of cases and shares in this area. Maybe you're struggling with a quick build of a spark cluster, but we know that Microsoft has long provided Hadoop's service--hdinsight in Azure, not to make it easy for everyone to use the Spark,hdinsight service and start supporting spark. This session tells you how to use the Spark service from Azure to quickly build your big data applications.

Playback address in: https://channel9.msdn.com/Events/Build/2016/P420

2,building Analytics for the modern business

With the development of big data technology, business intelligence analysis has also entered a new stage: The data is created in real time, the data is composed of many types, the data volume is huge, the user expects higher, the hardware and storage cost is lower, and the mobile access is possible. So how to build such a data solution becomes a challenge. Azure helps you develop fast and low-cost development solutions by providing data warehousing services (Warehouse as a service).

Session replay address in: https://channel9.msdn.com/Events/Build/2016/T682

3,u-sql:0-60 for Big Data with. NET

U-SQL is a new SQL-based language introduced by Microsoft in Azure Data Lake, which can use the syntax of the C # language to extend familiar SQL syntax, making big data processing easier and more interesting. This session will describe the concepts behind U-SQL and demonstrate how to use it to query unstructured, semi-structured, and structured data.

Playback address in: https://channel9.msdn.com/Events/Build/2016/T696-R2

4,azure data Lake and Azure data warehouse:applying modern practices to Your APP

This session is an overview of Azure data lake and Azure database warehouse. Two of services can be used to store, process, and analyze huge amounts of data. This session will dive into each service and guide you through the common patterns of integrating large scale data Analysis Services into your applications.

Playback address in: https://channel9.msdn.com/Events/Build/2016/B813

5,a Developers Guide to Azure SQL Data Warehouse

This session is actually an introductory introduction to Data Warehouse. Introduces the basics of data distribution, table design, and query optimization to provide the best performance for business intelligence solutions.

Playback address in: https://channel9.msdn.com/Events/Build/2016/P402

6,a Lap Around R Tools for Visual Studio

As the strongest IDE in the universe, after Microsoft acquired the developer of R language, the development tools of r language are provided naturally. By using R Tools for Visual Studio, you can also analyze data in your favorite VS, create predictive models, fast, interactive, and cool visualization data, and take advantage of some library of functions in the fields of statistics and machine learning. This session provides a complete explanation of the tool.

Playback address in: https://channel9.msdn.com/Events/Build/2016/B884

7,advanced Analytics with R and SQL

After Microsoft acquired R developers, the R language was incorporated into SQL Server, so it was natural to use R with SQL. This session describes how to give full play to the advantages of both languages in order to achieve advanced data analysis scenarios.

Playback address in: https://channel9.msdn.com/Events/Build/2016/B805

8,data integration in the Cloud and Building Data Analytics pipelines

So much about the data service (Azure data Factory, Azure data Lake Store and Azure Data Lake Analytics, SQL data Warehouse), so how do you put these things even locally Is the deployed Hadoop cluster integrated to form a conduit for data analysis? This session will solve the answer for you.

Playback Address: https://channel9.msdn.com/Events/Build/2016/P430

9,intelligent systems:advanced Analytics in Action for Retail, Healthcare and manufacturing

With advanced data analysis techniques that ultimately go back to real-world scenarios, this session will show you the case-sharing of real business intelligence systems in the retail, healthcare, and manufacturing sectors.

Playback Address: https://channel9.msdn.com/Events/Build/2016/T684

Big data-related sessions worth seeing on Build2016