Remove 2023 Remove Dashboards Remove Data Lake Remove Predictive Analytics
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Backcountry modernizes for the cloud era

CIO Business Intelligence

Backcountry also lacked many core services critical for an online retailer — no CMS, no analytics, no data platform, and no data lake. In recent years, e-commerce platforms have evolved into a combination of cloud, analytics, CX UIs, and data lakes dubbed customer data platforms (CDPs).

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Improve healthcare services through patient 360: A zero-ETL approach to enable near real-time data analytics

AWS Big Data

Achieving this will also improve general public health through better and more timely interventions, identify health risks through predictive analytics, and accelerate the research and development process. To get started with this feature, see Querying the AWS Glue Data Catalog. Satesh Sonti is a Sr.

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AWS re:Invent 2023 Amazon Redshift Sessions Recap

AWS Big Data

Amazon Redshift powers data-driven decisions for tens of thousands of customers every day with a fully managed, AI-powered cloud data warehouse, delivering the best price-performance for your analytics workloads. What’s new with Amazon Redshift Want to learn more about the most recent features launched in Amazon Redshift?

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Connect your data for faster decisions with AWS

AWS Big Data

In this post, we discuss how we’re delivering on these investments with a number of data integration innovations that span AWS databases, analytics, business intelligence (BI), and ML services. Business analysts use SageMaker Canvas to build ML models and generate predictions without needing to write code.

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Use the Amazon Redshift Data API to interact with Amazon Redshift Serverless

AWS Big Data

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing ETL (extract, transform, and load), business intelligence (BI), and reporting tools. Building a serverless data processing workflow.