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NHL turns to venue metrics data to drive sustainability

CIO Business Intelligence

In October, the league, with partner SAP, launched NHL Venue Metrics, a sustainability platform that teams and their venue partners can use for data collection, validation, and reporting and insights. Sustainability is all about innovation and business optimization. SAP is the technical lead on NHL Venue Metrics.

Metrics 143
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Petabyte-scale log analytics with Amazon S3, Amazon OpenSearch Service, and Amazon OpenSearch Ingestion

AWS Big Data

At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. Cold storage is optimized to store infrequently accessed or historical data. For a list of supported metrics, refer to Monitoring pipeline metrics.

Data Lake 114
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Achieve near real time operational analytics using Amazon Aurora PostgreSQL zero-ETL integration with Amazon Redshift

AWS Big Data

Customers across industries are becoming more data driven and looking to increase revenue, reduce cost, and optimize their business operations by implementing near real time analytics on transactional data, thereby enhancing agility. In the Instance configuration section , select Memory optimized classes.

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Getting started guide for near-real time operational analytics using Amazon Aurora zero-ETL integration with Amazon Redshift

AWS Big Data

read replicas, federated query, analytics accelerators) Move the data to a data store optimized for running analytical queries such as a data warehouse The zero-ETL integration is focused on simplifying the latter approach. They would like to get these metrics in near-real time using a zero-ETL integration. or higher version) database.

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Best practices to implement near-real-time analytics using Amazon Redshift Streaming Ingestion with Amazon MSK

AWS Big Data

Establish connectivity between an Amazon QuickSight dashboard and Amazon Redshift to deliver visualization and insights. Make sure that data is flowing into your MSK topic using Amazon CloudWatch metrics (for example, BytesOutPerSec ). For instructions, refer to the Setting up IAM and performing streaming ingestion from Kafka.

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Unlock insights on Amazon RDS for MySQL data with zero-ETL integration to Amazon Redshift

AWS Big Data

The data becomes available in Amazon Redshift within seconds, allowing you to use the analytics features of Amazon Redshift and capabilities like data sharing, workload optimization autonomics, concurrency scaling, machine learning, and many more. They would like to get these metrics in near real time using a zero-ETL integration.

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New Applied ML Prototypes Now Available in Cloudera Machine Learning

Cloudera

There’s recognition that it’s nearly impossible to find the unicorn data scientist that was the apple of every CEO’s eye in 2012. TPOT is a library for performing sophisticated search over whole ML pipelines, selecting preprocessing steps and algorithm hyperparameters to optimize for your use case.