AWS Big Data

MAY 30, 2023

Customers have been using data warehousing solutions to perform their traditional analytics tasks. Traditional batch ingestion and processing pipelines that involve operations such as data cleaning and joining with reference data are straightforward to create and cost-efficient to maintain.

Data Lake 81

Data Lake Data Analytics Analytics Data Processing 81

Cloudera

AUGUST 28, 2018

From AI models that power retail customer decision engines to utility meter analysis that disables underperforming gas turbines, these finalists demonstrate how machine learning and analytics have become mission-critical to organizations around the world. Brian Carpenter , Co-Host, The Hot Aisle Podcast, @intheDC.

Digital Transformation 65

Digital Transformation Machine Learning Consulting IoT 65

Smart Data Collective

AUGUST 14, 2019

The healthcare sector is heavily dependent on advances in big data. Healthcare organizations are using predictive analytics , machine learning, and AI to improve patient outcomes, yield more accurate diagnoses and find more cost-effective operating models. Big data analytics: solutions to the industry challenges.

Big Data 78

Big Data Data Analytics Analytics Internet of Things 78

AWS Big Data

MARCH 20, 2024

For example, your company may want to centralize its clickstream data or log data from multiple different producers across different accounts. To build a multi-account streaming architecture, you can use Amazon Kinesis Data Streams as the stream storage and AWS Lambda as the event consumer. About the authors Pratik Patel is Sr.

Internet of Things 108

Internet of Things IoT Manufacturing Data Processing 108

IBM Big Data Hub

FEBRUARY 6, 2024

Cloud-based applications and services Cloud-based applications and services support myriad business use cases—from backup and disaster recovery to big data analytics to software development. Google Workspace, Salesforce). A private cloud environment is a cloud computing model dedicated to a single organization.

Cost-Benefit 99

Cost-Benefit Digital Transformation Software Modeling 99

IBM Big Data Hub

JANUARY 29, 2024

Companies are becoming more reliant on data analytics and automation to enable profitability and customer satisfaction. It takes an organization’s on-premises data into a private cloud infrastructure and then connects it to a public cloud environment, hosted by a public cloud provider.

Digital Transformation 66

Digital Transformation Consulting Internet of Things Recreation/Entertainment 66

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

IBM Big Data Hub

MARCH 20, 2024

Multi-tenant hosting allows cloud service providers to maximize utilization of their data centers and infrastructure resources to offer services at much lower costs than a company-owned, on-premises data center. Software-as-a-Service (SaaS) is on-demand access to ready-to-use, cloud-hosted application software.

Internet of Things 88

Internet of Things Cost-Benefit Data Processing IoT 88