Tag: Container

Feed: IBM Big Data & Analytics Hub - All Content; Author: kevin-oliver; Two of the greatest challenges faced by organizations today are the rising volume of data and the lack of  confidence to act on the insights this data reveals. Fortunately, there are AI-fueled data management solutions that directly address these two challenges to make data simple and accessible.Databases should be both powered by AI and built for AI, meaning they use embedded AI capabilities to improve their day-to-day functionality (powered by AI), while also being able to support AI initiatives throughout the entire business (built for AI). For example, ... Read More

Feed: R-bloggers. Author: Sebastian Heinz. [This article was first published on r-bloggers | STATWORX, 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. Recently, some colleagues and I attended the 2-day COVID-19 hackathon #wirvsvirus, organized by the German government. Thereby, we’ve developed a great application for simulating COVID-19 curves based on estimations of governmental measure effectiveness (FlatCurver). As there are many COVID-related dashboards and visualizations out there, I thought that gathering the underlying data ... Read More

Feed: AWS Partner Network (APN) Blog. Author: APN Partner Guest Post. By Ravi Yadav, Director, Ecosystem, Corporate Development & Strategy at D2iQThough containers vastly simplify the distribution of applications, Kubernetes ecosystems are so powerful that they, in turn, can become complex. This is particularly true in hybrid cloud environments. D2iQ Kommander simplifies Kubernetes container management, including governance, workload configuration, and life cycles. This post explains how to take advantage of D2iQ Kommander’s capabilities on Amazon Web Services (AWS). To continuously innovate, many organizations are anchoring their infrastructure on container management solutions. The open source project Kubernetes is now the de facto ... Read More

Feed: SAS Blogs. Author: Jim Harris. Read about the 5 D's of data preparation. Over the years, I've written many posts about data, analytics and humans and how all three combine to deliver significant business insights. In this post, I’ll recap some key points I've made about each of these (along with key points from others, too). Along the way, I'll show how the three work together to form what I call the insight equation. Data We love data. And we love putting words like master, big and meta before it – and adding words like management, quality and governance ... Read More

Author: . For decades organizations have relied on monolithic databases to run core business operations, but these traditional relational database management systems weren’t designed to support the requirements of modern application architectures.Modern tools and technologies allow developers to design and build web-scale microservices and container-based applications, and non-scalable centralised databases just don’t work in this type of architecture. In fact, they become a real limitation, particularly for mission-critical applications moving to distributed or cloud environments. Recently I presented a webinar on how enterprises can move beyond these limitations with a distributed SQL database, and I got some great questions, so ... Read More

Feed: R-bloggers. Author: the Geocomputation with R website. This post explains how to quickly get key R packages for geographic research installed on Ubuntu, a popular Linux distribution. A recent thread on the r-spatial GitHub organization alludes to many considerations when choosing a Linux set-up for work with geographic data, ranging from the choice of Linux distribution (distro) to the use of binary vs or compiled versions (binaries are faster to install). This post touches on some of these things but, its main purpose is to provide advice on getting R’s key spatial packages up-and-running on a future-proof Linux operating ... Read More

Feed: Planet MySQL; Author: MySQL Performance Blog; In my Webinar on Using Percona Monitoring and Management (PMM) for MySQL Troubleshooting, I showed how to use direct queries to ClickHouse for advanced query analysis tasks. In the followup Webinar Q&A, I promised to describe it in more detail and share some queries, so here it goes.PMM uses ClickHouse to store query performance data which gives us great performance and a very high compression ratio. ClickHouse stores data in column-store format so it handles denormalized data very well. As a result, all query performance data is stored in one simple “metrics” table:Column ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: kip-yego; IDC’s report, “Choosing the Right Database Technology in the Age of Digital Transformation” highlights the expanse of data management options as well as how that can cause confusion. Having clarity when looking to build new data applications or modernize workloads already in existence is essential. Three of the tips they provide to help illuminate the right solution for your needs are to select solutions that have:Roadmaps which fit your future plans Partners that help round out the overall solution Technologies with a large talent pool internally and externally ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: kip-yego; We are pleased to announce that IBM’s Operational Database Management Systems (OPDBMS) was recognized as a 2020 Gartner Peer Insights Customers’ Choice. One of our greatest joys is delivering the advanced data management capabilities clients need to fit the unique needs of their business to drive success.Customer reviews that contributed to this distinction focused on the implementation strategy, evaluation and contracting, integration and deployment, service and support, and overall capabilities throughout IBM’s OPDBMS suite of offerings and extended data management offerings. IBM is continuing to double down on ... Read More

Feed: R-bloggers. Author: Abderrahim Lyoubi-Idrissi. Category Tags A priori there is no guarantee that tuning hyperparameter(HP) will improve the performance of a machine learning model at hand.In this blog Grid Search and Bayesian optimization methods implemented in the {tune} package will be used to undertake hyperparameter tuning and to check if the hyperparameter optimization leads to better performance. We will also conduct hyperparamater optimization using the {caret} package, this will allow us to compare the performance of both packages {tune} and {caret}. High Level Workflow The following picture is showing the high level workflow to perform hyperparameter tuning: Hyperparameter Optimization ... Read More