AWS Big Data

MAY 28, 2024

Part 1 also contains architectural examples for building real-time applications for time series data and event-sourcing microservices. An event tracker provides an endpoint that allows you to stream interactions that occur in your application back to Amazon Personalize in near-real time. You do this by using the PutEvents API.

IoT 91

IoT Analytics Dashboards Data-driven 91

AWS Big Data

MARCH 20, 2024

In a streaming architecture, you may have event producers, stream storage, and event consumers in a single account or spread across different accounts depending on your business and IT requirements. Amazon Kinesis Data Streams enables real-time processing of streaming data at scale.

Internet of Things 108

Internet of Things IoT Manufacturing Data Processing 108

AWS Big Data

DECEMBER 13, 2023

Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. This solution uses Amazon Aurora MySQL hosting the example database salesdb.

Data Warehouse 98

Data Warehouse Snapshot Data Processing Management 98

AWS Big Data

MARCH 13, 2024

The solution consists of the following interfaces: IoT or mobile application – A mobile application or an Internet of Things (IoT) device allows the tracking of a company vehicle while it is in use and transmits its current location securely to the data ingestion layer in AWS. The ingestion approach is not in scope of this post.

Analytics 94

Analytics IoT Metadata Internet of Things 94

AWS Big Data

MAY 30, 2023

However, there is a challenge to ingest datasets, such as Internet of Things (IoT) and clickstreams, at a fast rate with near-real-time delivery SLAs. You will also want to apply incremental updates with change data capture (CDC) from the source system to the destination.

Data Lake 80

Data Lake Data Analytics Analytics Data Processing 80

Sisense

JULY 23, 2021

Not only does it support the successful planning and delivery of each edition of the Games, but it also helps each successive OCOG to develop its own vision, to understand how a host city and its citizens can benefit from the long-lasting impact and legacy of the Games, and to manage the opportunities and risks created.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

Cloudera

AUGUST 28, 2018

These thought leaders in data management and analytics represent all areas of the industry from executives and industry analysts to professors and media experts. Brian Carpenter , Co-Host, The Hot Aisle Podcast, @intheDC. These finalists are an asset to their companies and to society for their impactful thinking.”

Digital Transformation 65

Digital Transformation Machine Learning Consulting IoT 65