Tag: Azure

Feed: Featured Blog Posts - Data Science Central. Author: ajit jaokar. In the previous post, ten strategies to implement ai on the cloud and edge, I discussed strategies for end to end deployment for machine learning modules. How this relates to Agile? Deployment of AI comes within the scope the normal SDLC (software development lifecycle) So, normal Agile techniques like scrum, sprints, backlog planning, release planning, test driven development and acceptance criteria also apply to deployment of machine learning models in production. However, combining DevOps with development adds an extra level of complexity to machine learning. We need end to ... Read More

Feed: MemSQL Blog. Author: Rick Negrin. There is a trend in industry which says that modern applications need to be built on top of one or more special-purpose databases. That every application benefits from using the best-of-breed technology for each requirement. And that the plethora of special-purpose options available from certain cloud providers is reasonable to manage. That’s all BUNK. The reality is that navigating the choices, figuring out how to use them effectively, and dealing with the ETL and inevitable data sprawl, is so difficult that the pain far outweighs any technical advantage you might get. In the vast ... Read More

Feed: Microsoft Dynamics 365 Blog. Author: Meenoo Rami. In October 2018, we announced the Microsoft Higher Education Accelerator, enabling ISVs and other solution providers to quickly build industry vertical solutions tailored for higher education. Since then, we have updated the accelerator with new scenarios to help institutions transform how they engage with students and their constituents and improve student outcomes.Our latest version, now generally available, extends the Common Data Model scenarios to include new entities, sample apps, and analytics for business partner management and student accomplishments. The accelerator also includes entities around internships, scholarships, grants, and more.About the industry acceleratorOne ... Read More

Feed: Microsoft Azure Blog. Author: John 'JG' Chirapurath. Enterprises today are transforming their businesses using Machine Learning (ML) to develop a lasting competitive advantage. From healthcare to transportation, supply chain to risk management, machine learning is becoming pervasive across industries, disrupting markets and reshaping business models. Organizations need the technology and tools required to build and deploy successful Machine Learning models and operate in an agile way. MLOps is the key to making machine learning projects successful at scale. What is MLOps ? It is the practice of collaboration between data science and IT teams designed to accelerate the entire ... Read More

Feed: R-bloggers. Author: R Views. [This article was first published on R Views, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. One hundred fifty-two packages made it to CRAN in December. Here are my “Top 40” picks in ten categories: Data, Genomics, Machine Learning, Mathematics, Medicine, Science, Statistics, Time Series, Utilities, and Visualization. Data climate v0.3.0: Provides access to meteorological and hydrological data from OGIMET, University of Wyoming – atmospheric vertical profiling data, ... Read More

Feed: Teradata Blog. The hybrid cloud is not just a consideration, but for our customers, especially our larger customers, already a reality. To understand what we mean when we say hybrid cloud, we first need to define two terms: Hybrid Cloud: Uses mix of on-premises and one or more clouds. Multi-cloud: Uses two or more clouds. Typically, companies are using both hybrid and multi-cloud architectures. When we talk to our customers about hybrid cloud and or multi-clouds, we often hear the following: We want to use the best-of-breed cloud for a workload. We want to be cloud agnostic. One cloud provider does ... Read More

Feed: Puppet.com Blog RSS Feed. Author: ; With Puppetconf 2017 coming to San Francisco in less than a month we thought it might be interesting to take a look at some of the talks we have lined up. In this post we’re focusing on the Moving to the Cloud and Containers track.Moving to the cloudWe have several talks focused on using Puppet with public and private cloud environments.R Tyler Croy from CloudBees will be explaining all about Shipping the Jenkins Project to Azure with Puppet and Kubernetes. This session will tell a fascinating story about embracing modern tooling and migrating ... Read More

Feed: Puppet.com Blog RSS Feed. Author: ; We are excited to announce the first release of our new open source Puppet Development Kit (PDK). Download it, get help installing it and then run through the Getting Started Guide to learn more.With the Puppet Development Kit you can:Quickly get started developing Puppet modules while using best practices and new integrated tools that enable you to develop, test and publish high-quality Puppet modules. Shift quality to the left by catching issues earlier and faster, before Puppet code is applied to live infrastructure.Unit-test modules from your workstation to ensure that Puppet code is ... Read More

Feed: Databasejournal.com - Feature Database Articles. Author: . Practically every SQL Server Database Administrator operating in an on-premises environment is familiar with Transact-SQL DBCC statements that serve the role of Database Console Commands. However, there are some additional considerations that should be considered when using them in the context of Azure SQL Database deployments. In this article, I provide an overview of their primary characteristics and explore their role in Database-as-a-Service scenarios. While the acronym DBCC was originally derived from the term Database Consistency Checker, this designation has been changed to Database Console Commands, in order to reflect much more ... Read More

Feed: Puppet.com Blog RSS Feed. Author: ; The move to the cloud is the most important sea change we have experienced in the technology world since the web revolutionized how businesses interact with their customers. The benefits most often associated with cloud computing are around agility (the ability to create virtual resources in minutes) and capital efficiency (the ability to stand up infrastructure with no up-front capital costs). While agility and capital efficiency are critical drivers, the most important shift we are seeing is that customers expect vendors will take over an increasing amount of the operational burden of running ... Read More