Remove Data Processing Remove Data-driven Remove Events
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Looking Back on Our First Women Leaders in Technology Event

Cloudera

Over the last few months, Cloudera has been traversing the globe hosting our EVOLVE24 event series. Building Inclusive Data-Driven Organizations: Leadership Strategies for the Modern Workplace As it stands, women currently account for approximately 25% of the technology workforce.

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

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Cloud Hosting Creates Better Sales Opportunities through Improved Webinar Platforms

Smart Data Collective

This growth is largely driven by advances in cloud technology. Webinar videos take up large amounts of data, which means that it can be very difficult to self-host them on traditional sites. Cloud technology has made it easier to store large numbers of data-intensive webinar videos. Promote Your Events.

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Can Data Analytics Help with Choosing Reliable Event Organizers?

Smart Data Collective

Data analytics has become a very important element of success for modern businesses. Many business owners have discovered the wonders of using big data for a variety of common purposes, such as identifying ways to cut costs, improve their SEO strategies with data-driven methodologies and even optimize their human resources models.

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Build event-driven data pipelines using AWS Controllers for Kubernetes and Amazon EMR on EKS

AWS Big Data

An event-driven architecture is a software design pattern in which decoupled applications can asynchronously publish and subscribe to events via an event broker. For big data processing, which requires distributed computing, you can use Spark on Amazon EKS.

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Implement a custom subscription workflow for unmanaged Amazon S3 assets published with Amazon DataZone

AWS Big Data

Organizational data is often fragmented across multiple lines of business, leading to inconsistent and sometimes duplicate datasets. This fragmentation can delay decision-making and erode trust in available data. This solution enhances governance and simplifies access to unstructured data assets across the organization.

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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. Together, these capabilities enable terminal operators to enhance efficiency and competitiveness in an industry that is increasingly data driven.

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