GE Aviation , an operating unit of GE, is a world-leading provider of jet and turboprop engines, as well as integrated systems for commercial, military, business, and general aviation aircraft. In this post, we share how GE Aviation built cloud-native data pipelines at enterprise scale using the AWS platform.
Amazon Athena is an interactive serverless query service to query data from Amazon Simple Storage Service (Amazon S3) in standard SQL. Amazon OpenSearch Service (successor to Amazon Elasticsearch Service ) is a fully managed, open-source, distributed search and analytics suite derived from Elasticsearch, allowing you to run OpenSearch Service or Elasticsearch clusters at scale without having to manage hardware provisioning, software installation, patching, backups, and so on.
Amazon Redshift is a fast, fully managed cloud data warehouse. Tens of thousands of customers use Amazon Redshift as their analytics platform. Users such as data analysts, database developers, and data scientists use SQL to analyze their data in Amazon Redshift data warehouses.
Traditional data warehouses work well when we’re dealing with batch jobs to load data. But in today’s world, we see many use cases where the customers can’t wait for a batch job to complete for our data scientists, analysts, or dashboards to access the data.
In this post, Roche’s global Platform and machine learning (ML) engineering team discuss how they used Amazon Redshift data API to democratize access to the data in their Amazon Redshift data warehouse with Google Sheets (gSheets).
Microsoft SharePoint is a document management system for storing files, organizing documents, and sharing and editing documents in collaboration with others. Your organization may want to ingest SharePoint data into your data lake, combine the SharePoint data with other data that’s available in the data lake, and use it for reporting and analytics purposes.
Businesses are expanding their footprint on Amazon Web Services (AWS) and are adopting a multi-account strategy to help isolate and manage business applications and data. In the multi-account strategy, it is common to have business applications deployed in one account accessing an Amazon Simple Storage Service (Amazon S3) encrypted bucket from another AWS account.
Two years ago, we introduced Amazon SageMaker Studio, the industry’s first fully integrated development environment (IDE) for machine learning (ML). Amazon SageMaker Studio provides a single, web-based visual interface where you can perform all ML development steps, improving data science team productivity by up to 10 times
Marketing teams often rely on data engineers to provide a consumer dataset that they can use to launch marketing campaigns. This can sometimes cause delays in launching campaigns and consume data engineers’ bandwidth. The campaigns are often launched using complex solutions that are either code heavy or using licensed tools.
This is a guest post by TrueBlue. In their own words, “Founded in 1989, TrueBlue provides specialized workforce solutions, including staffing, talent management, and recruitment process outsourcing (RPO). In 2020, the company connected approximately 490,000 people with work.”
Many of our customers are telling us they want to move away from commercial database vendors to avoid expensive costs and burdensome licensing terms . But migrating away from commercial and legacy databases can be time-consuming and resource-intensive.
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.
Amazon Redshift is a fast, fully managed, widely popular cloud data warehouse that powers the modern data architecture enabling fast and deep insights or machine learning (ML) predictions using SQL across your data warehouse, data lake, and operational databases.
Parametric Portfolio Associates (Parametric), a wholly owned subsidiary of Morgan Stanley, is a registered investment adviser. Parametric provides investment advisory services to individual and institutional investors around the world. Parametric manages over 100,000 client portfolios with assets under management exceeding $400B (as of 9/30/21).
