Tag: part

Feed: What's New. Author: Erin Gengo, Robert Bloom. As we reimagined data management across all of Tableau, we identified five pillars for the  migration process framework that dovetailed well with our Snowflake selection criteria, and would thereby increase trust and confidence in the data that everyone uses. These pillars are: staffing, governance, authentication, communication, and documentation.  We’ll first discuss staffing, governance, and authentication in this post, highlighting some key lessons learned, unexpected issues with responses, and recommendations to consider when migrating and tackling data sets—large or small, simple or complex. Staffing We don’t want to sugar-coat the complex undertaking of ... Read More

Feed: SAS Blogs. Author: Alison Bolen. Most New Yorkers like to fantasize about owning and living in a classic New York City brownstone, complete with high ceilings, large windows and a front stoop. You can picture yourself sitting there alongside the iron railing with a cup of coffee while you watch the city wake up and come to life around you. "I saw for myself I was not going to be a homeowner in NY. It was not attainable."– Sheri Grice, Project Manager, SAS Eventually, you realize the enormous obstacles to owning and maintaining the iconic home of your fantasies ... Read More

Feed: Big Data Made Simple. Author: Daniel Munson. Today’s technology is advancing rapidly, and there is one clear trend these developments follow. The design philosophy that is leading the tech revolution is that of connectivity. The world around you is more connected and global than ever before. This has been a major boon to private citizens and corporate entities alike, but it brings with it new security concerns. The more people and businesses depend on technology, the more risk there is of their personal or business data falling into the wrong hands. Here’s what you need to know about keeping ... Read More

Feed: Microsoft Azure Blog. Author: Noelle Walsh. Earlier this year, we made a commitment to shift to 100 percent renewable energy supply in our buildings and datacenters by 2025. On this journey, we recognize that how we track our progress is just as important as how we get there. Today, we are announcing that Microsoft will be the first hyperscale cloud provider to track hourly energy consumption and renewable energy matching in a commercial product using the Vattenfall 24/7 Matching solution for our new datacenter regions in Sweden, which will be available in 2021. Vattenfall and Microsoft are also announcing ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. The model-free, data-driven technique discussed here is so basic that it can easily be implemented in Excel, and we actually provide an Excel implementation. It is surprising that this technique does not pre-date standard linear regression, and is rarely if ever used by statisticians and data scientists. It is related to kriging and nearest neighbor interpolation, and apparently first mentioned in 1965 by Harvard scientists working on GIS (geographic information systems). It was referred back then as Shepard's method or inverse distance weighting, and used for multivariate interpolation on ... Read More

Feed: Blog – ArangoDB. Author: Christopher Woodward. This post is the fifth in a series of posts introducing the ArangoML features and tools. This post introduces the ArangoDB NetworkX adapter, which makes it easy to analyze your graphs stored in ArangoDB with NetworkX. In this post we: Briefly introduce NetworkXExplore the IMDB user rating datasetShowcase the ArangoDB integration of NetworkXExplore the centrality measures of the data using NetworkXStore the experiment with arangopipe Going forward, the ArangoML Series will no longer be numbered. Parts 1-4 deal with the same housing dataset and focus on introducing some core machine learning concepts. We ... Read More

Feed: AWS Big Data Blog. The machine learning (ML) lifecycle consists of several key phases: data collection, data preparation, feature engineering, model training, model evaluation, and model deployment. The data preparation and feature engineering phases ensure an ML model is given high-quality data that is relevant to the model’s purpose. Because most raw datasets require multiple cleaning steps (such as addressing missing values and imbalanced data) and numerous data transformations to produce useful features ready for model training, these phases are often considered the most time-consuming in the ML lifecycle. Additionally, producing well-prepared training datasets has typically required extensive knowledge ... Read More

Feed: Planet PostgreSQL. At most of the places I've worked, the primary language used was not what I gravitated to naturally. If you're going to ask for a language of choice personally, it's python. I appreciate the explicit nature, that it's often pseudocode that can execute and it has a rich ecosystem of libraries (though that’s most languages these days). But as much as anything I latched onto Django in its early days. If you're not familiar with Django it's a popular framework for web apps written in Python. What I loved about it in particular was one of its ... Read More

Feed: Events. Author: . Improving education in the midst of a pandemic is the challenge of our time. To help with this, many institutions are turning to cloud tools to rapidly innovate on behalf of students. Some of the education leaders who have taken on this work over the past year will join us to share their insights and lessons learned as part of the Google Cloud Public Sector Summit, a virtual event on December 8-9.There are four main areas where education organizations have been driving improvements, and we expect to see even more momentum in these in 2021:Enabling virtual ... Read More

Feed: AWS Big Data Blog. Amazon EMR is a big data service offered by AWS to run Apache Spark and other open-source applications on AWS in a cost-effective manner. Amazon EMR Notebooks is a managed environment based on Jupyter Notebook that allows data scientists, analysts, and developers to prepare and visualize data, collaborate with peers, build applications, and perform interactive analysis using EMR clusters. EMR notebook APIs are available on Amazon EMR release version 5.18.0 or later and can be used to run EMR notebooks via a script or command line. The ability to start, stop, list, and describe EMR ... Read More