In this talk, we will describe a cloud-centric data science process to go from raw data on premise or in the cloud to operationalized machine learning models using only a browser and elastic resources in Azure using various tools like SQL Server on Azure, Azure VMs, Azure Machine Learning, and Azure HDInsight (Hadoop).
Sameer Doshi from kCura tells us how their company has achieved some business great results across development and operations while utilizing Microsoft Azure and Chef to implement the DevOps practice of Infrastructure as code amongst other things. Sameer is interviewed by David Tesar, Senior Technical Evangelist at Microsoft and Steve Murawski, Software Development Engineer at Chef Software. In this interview more specifically we cover the following:
[00:28] - What does kCura do and is his role there?
[00:47] - What are some of the challenges they have had to overcome at kCura?
[01:30] - What are some of the problems they have had with the server environments?
[02:29] - An example story of a pain point specifically related to this as well as "it works on my environment"
[03:49] - What solutions did they try to resolve this problem?
[05:12] - Why did they decide to utilize Chef for that framework?
[06:26] - Is there anything in the Chef ecosystem which helped kCura move from on-premises infrastructure to Azure?
[07:49] - What are the business impact kCura has seen from implementing these changes?
[09:22] - What are some of the specific higher value activities the Ops staff can spend time on now?
[10:54] - How did the Ops people respond to having to now write Infrastructure as Code (IaC) (IaC is Chef Recipes in this case)?
[12:53] - How has IaC has transformed the culture?
[13:50] - Did it take awhile to see the business value while everyone was learning how to write Chef Recipes?
[15:08] - How do you see where you've started with this solution playing out practically in the future?
[17:22] - How has having IaC and Azure helped out with other scenarios? --> Self Service environments and conference.
[19:06] - Why did they choose Azure as their cloud provider and why do they continue to choose Azure?
16 ноября состоялась прямая онлайн-трансляция мероприятия Connect(); 2016 из Нью-Йорка, где Скотт Гатри и Скотт Хансельман представили последние инновации в разработке приложений.
Эксперты Microsoft поделились, как создавать более продвинутые решения, увеличить продуктивность команд разработки с помощью новейших сервисов и инструментов, а так же возможностей облачной платформы Microsoft.
Лидеры индустрии, основываясь на собственном опыте, представили последние разработки с помощью мобильной и облачной платформы, которые привнесли вклад в их бизнес и позволили ответить на критически важные запросы клиентов.
Learn how to use Azure SQL Data Warehouse, an enterprise-class distributed database capable of processing up to petabyte volumes of relational and non-relational data, to quickly gain insights from your data. Using the scale-out nature of SQL Data Warehouse, the industry's first cloud data warehouse with grow, shrink, and pause in seconds, you'll be able to grow your BI and analytics systems quickly to meet your current and future data demands. SQL Data Warehouse blends the best of SQL Server's enterprise-class relational database quality and reliability with cloud computing.