Tag: metrics

Feed: Microsoft Azure Blog. Author: Ning Kuang. Cloud Foundry on Azure keeps getting better. We now support the use of Azure Blob Storage and Managed Disks with Cloud Foundry. These enhancements come on the heels of the launch of Pivotal Cloud Foundry on Azure and a series of Azure Service Broker releases. We continue to invest in deeper integration of Azure’s enterprise grade services with the open source Cloud Foundry platform. Here’s how to get started with these new capabilities! 1.Use Azure Blob Storage for the Cloud Foundry Cloud Controller Blobstore The Cloud Controller blobstore is a critical data store ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Emmanuelle Rieuf. Data science today is a lot like the Wild West: there’s endless opportunity and excitement, but also a lot of chaos and confusion. If you’re new to data science and applied machine learning, evaluating a machine-learning model can seem pretty overwhelming. Now you have help. With this O’Reilly report, machine-learning expert Alice Zheng takes you through the model evaluation basics. In this overview, Zheng first introduces the machine-learning workflow, and then dives into evaluation metrics and model selection. The latter half of the report focuses on hyperparameter tuning and ... Read More

Feed: Planet big data. Author: Meg Blanchette. March 7th, 2017 In an earlier post, we discussed how developing a deep, data-driven understanding of the customer life cycle can help you leverage data based on how your customers are actually using a product—rather than how they or the business think they want to use it—to ensure that you are making the best decisions in sales and development. In this post, we will look at driving product engagement with behavioral data, as well as building an integrated analytical environment. Identifying areas of struggle and opportunities for enhanced user experience through behavioral data ... Read More

Feed: Planet PostgreSQL. Citus is a distributed database that extends (not forks) PostgreSQL for large workloads. One challenge associated with building a distributed relational database (RDBMS) is that they require notable effort to deploy and operate. To remove these operational barriers, we’ve been thinking about offering Citus as a managed database for a while now. Naturally, we were also worried that providing a native database offering on AWS could split our startup’s focus and take up significant engineering resources. (Honestly, if the founding engineers of the Heroku Postgres team didn’t join Citus, we might have decided to wait on this.) ... Read More

Feed: Planet MySQL. Author: Miguel Angel Nieto. Miguel Angel Nieto  | March 9, 2017 |  Posted In: Database Monitoring, JSON, MongoDB, MySQL PREVIOUS POST In this blog post, we’ll discuss services monitoring using probabilistic fault detection. Let’s admit it, the task of monitoring services is one of the most difficult. It is time-consuming, error-prone and difficult to automate. The usual monitoring approach has been pretty straightforward in the last few years: setup a service like Nagios, or pay money to get a cloud-based monitoring tool. Then choose the metrics you are interested in and set the thresholds. This is a manual process that ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Ronald van Loon. Imagine a world where your car not only drives itself, but also says intelligent things like these: A hotel is just around the corner and you have been driving for eight hours. Would you like to reserve a room and take rest for a couple of hours? You last serviced the brakes twelve months ago and you have driven your car about 20.000 miles in this duration. Would you like me to find a dealer and book an appointment? This would look like an impossibility about five years ... Read More

Feed: Microsoft Azure Blog. Author: Jie Su. Have you had chance to try out the public preview version of the Azure Stream Analytics Tools for Visual Studio yet? If not, read through this blog post and get a sense of the Stream Analytics development experience with Visual Studio. These tools are designed to provide an integrated experience of Azure Stream Analytics development workflow in Visual Studio. This will help you to quickly author query logic and easily test, debug, and diagnose your Stream Analytics jobs. Using these tools, you get not only the best in class query authoring experience, but ... Read More

Feed: Latest imported feed items on Analytics Matters. Today, businesses can collect data along every point of the customer journey. This information might include mobile app usage, digital clicks, interactions on social media and more, all contributing to a data fingerprint that is completely unique to its owner. However, at some point not too long ago, the thought of customers sharing information such as what time they woke up, what they ate for breakfast, or where they went on holiday, would have been a bizarre consideration to say the least. Customer social norms have certainly changed and as a result, ... Read More

Feed: Planet MySQL. Author: MariaDB. MariaDB 10.2.4 has fantastic new features that perfectly match Replication Manager's ultimate goals: transparent automated failover on MariaDB master slave architecture (with as little as possible lost in transaction:)).  We are going to explore those new features and how Replication Manager uses them for your benefit!  The first feature is constant binlog fetching from remote master via mysqlbinlog. Replication Manager will use this feature when your old master comes back to live.  It will take a snapshot of the transactions events differences from the position where the new elected master was introduced and the current ... Read More

Feed: Big Data Feed. Author: itsing. Editor’s Note: At Strata+Hadoop World 2016 in New York, MapR Director of Enterprise Strategy & Architecture Jim Scott gave a presentation on “Handling the Extremes: Scaling and Streaming in Finance.”As Jim explains, agility is king in the world of finance, and a message-driven architecture is a mechanism for building and managing discrete business functionality to enable agility. In order to accommodate rapid innovation, data pipelines must evolve. However, implementing microservices can create management problems, like the number of instances running in an environment. Microservices can be leveraged on a message-driven architecture, but the concept must be ... Read More