Remove Dashboards Remove Data Lake Remove Internet of Things
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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

Their terminal operations rely heavily on seamless data flows and the management of vast volumes of data. Recently, EUROGATE has developed a digital twin for its container terminal Hamburg (CTH), generating millions of data points every second from Internet of Things (IoT)devices attached to its container handling equipment (CHE).

IoT 100
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Otis takes the smart elevator to new heights

CIO Business Intelligence

Designed with controllers, sensors, gateways, real-time dashboards, and custom maintenance roles dubbed ‘Personas,’ Otis One serves roughly one third of Otis’ 2.1 Otis One’s cloud-native platform is built on Microsoft Azure and taps into a Snowflake data lake. Analytics, CIO 100, Internet of Things, Manufacturing Industry

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Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1

AWS Big Data

In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices. All these architecture patterns are integrated with Amazon Kinesis Data Streams. The raw data can be streamed to Amazon S3 for archiving.

Analytics 123
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Havmor’s VP IT Dhaval Mankad on ‘melting’ hurdles with a scoop of digital innovation

CIO Business Intelligence

It’s about possessing meaningful data that helps make decisions around product launches or product discontinuations, because we have information at the product and region level, as well as margins, profitability, transport costs, and so on. How is Havmor leveraging emerging technologies such as cloud, internet of things (IoT), and AI?

IT 98
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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

A data hub contains data at multiple levels of granularity and is often not integrated. It differs from a data lake by offering data that is pre-validated and standardized, allowing for simpler consumption by users. Data hubs and data lakes can coexist in an organization, complementing each other.

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Unlock scalability, cost-efficiency, and faster insights with large-scale data migration to Amazon Redshift

AWS Big Data

The data warehouse is highly business critical with minimal allowable downtime. As part of the success criteria for operational service levels, you need to document the expected service levels for the new Amazon Redshift data warehouse environment. Runtime Service level for data loading and transformation.

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Amazon Redshift data ingestion options

AWS Big Data

Amazon Redshift , a warehousing service, offers a variety of options for ingesting data from diverse sources into its high-performance, scalable environment. Streaming ingestion powers real-time dashboards and operational analytics by directly ingesting data into Amazon Redshift materialized views. Sudipta Bagchi is a Sr.

IoT 106