Tag: datasets

Feed: Recent Announcements. Read below for the 19 new or updated datasets from Meta, the Brazilian Space Agency, Radboud University Medical Center, and others available on the Registry of Open Data in the following categories. Looking to make your data available? The AWS Open Data Sponsorship Program covers the cost of storage for publicly available, high-value, cloud-optimized datasets. We work with data providers who seek to: Democratize access to data by making it available for analysis on AWS Develop new cloud-native techniques, formats, and tools that lower the cost of working with data Encourage the development of communities that benefit ... Read More

Feed: R-bloggers. Author: Gary Hutson. I am proud to announce my seventh package for you lovely R folks. This time it is a collection of datasets aimed at giving people in healthcare, and beyond, some solid examples for using with R. There remains a few excellent packages for this, such as mlbench, but they are limited in the number of datasets you can derive. Using the package To use the package I have compiled a YouTube video to show you how the datasets could be used, with a thorough example in TidyModels of how to implement the thyroid disease dataset ... Read More

Feed: AWS Big Data Blog. Data analytics remains a constantly hot topic. More and more businesses are beginning to understand the potential their data has to allow them to serve customers more effectively and give them a competitive advantage. However, for many small to medium businesses, gaining insight from their data can be challenging because they often lack in-house data engineering skills and knowledge. Data enrichment is another challenge. Businesses that focus on analytics using only their internal datasets miss the opportunity to gain better insights by using reliable and credible public datasets. Small to medium businesses are no exception ... Read More

Feed: Recent Announcements. Today, we are excited to announce the general availability of Amazon SageMaker Ground Truth Plus, a new turnkey data labeling servicethat enables you to create high-quality training datasets quickly and reduces costs by up to 40%. To train a machine learning (ML) model, data scientists need large, high-quality, labeled datasets. As ML adoption grows, labeling needs increase. This forces data scientists to spend weeks on building data labeling workflows and managing a data labeling workforce. Unfortunately, this slows down innovation and increases cost. To ensure data scientists can spend their time building, training, and deploying ML models, ... Read More

Feed: Recent Announcements. Amazon QuickSight now supports dataset versioning, which allows dataset owners to understand historical changes within a dataset, preview a specific version, or revert back to a previous version if needed. Dataset versions can be viewed and tracked via the UI, allowing dataset owners to view versions and switch to a specific version via UI. Dataset Versions gives dataset authors the confidence to experiment with their content, knowing that their older versions are available and that they easily can revert back to it when required. Dataset Versions is available in Amazon QuickSight Standard and Enterprise Editions in all QuickSight ... Read More

Feed: AWS Big Data Blog. Amazon QuickSight allows data owners and authors to create and model their data in QuickSight using datasets, which contain logical and semantic information about the data. Datasets can be created from a single or multiple data sources, and can be shared across the organization with strong controls around data access (object/row/column level security) and metadata included, and can be programmatically created or modified. QuickSight now supports dataset versioning, which allows dataset owners to see how a dataset has progressed, preview a version, or revert back to a stable working version in case something goes wrong ... Read More

Feed: Microsoft Power BI Blog | Microsoft Power BI. Author: . The ability to change your capacity settings for datasets is now generally available in Power BI Premium Gen2! These are the same dataset settings that were available in Power BI Premium Gen1. Until now, they were not available in Gen2. Today, as a capacity administrator you can review and change default values for your capacity. It’s a critical tool in optimizing your capacity for resource and query performance. Check out a detailed description and scenario of each setting in Power BI Premium Workload Settings. How to access Capacity Settings ... Read More

Feed: AWS Big Data Blog. Amazon QuickSight is a scalable business intelligence (BI) service built for the cloud, which allows insights to be shared with all users in the organization. QuickSight offers SPICE, an in-memory, cloud-native data store that allows end-users to interactively explore data. SPICE provides consistently fast query performance and automatically scales for high concurrency. With SPICE, you save time and cost because you don’t need to retrieve data from the data source (whether a database or data warehouse) every time you change an analysis or update a visual, and you remove the load of concurrent access or ... Read More

Feed: AWS Public Sector Blog. Author: Ethan Fahy. The volume of Earth observation (EO) data captured each day is growing rapidly. Terabytes of data are collected each day, quickly leading to petabyte-scale datasets. Scalable and cost-effective cloud data services like Amazon Simple Storage Service (Amazon S3) can host these types of datasets, and many are hosted through the Registry of Open Data on AWS. By bringing these datasets to the cloud, users can use the compute and analytics resources of the cloud to reliably scale with growing needs. The Pangeo open source community provides guidance, code, and example use cases ... Read More

Feed: AWS Big Data Blog. Many organizations have data sitting in various data sources in a variety of formats. Even though data is a critical component of decision-making, for many organizations this data is spread across multiple public clouds. Organizations are looking for tools that make it easy and cost-effective to copy large datasets across cloud vendors. With Amazon EMR and the Hadoop file copy tools Apache DistCp and S3DistCp, we can migrate large datasets from Google Cloud Storage (GCS) to Amazon Simple Storage Service (Amazon S3). Apache DistCp is an open-source tool for Hadoop clusters that you can use ... Read More