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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications.

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5 Ways Layered Navigation Improves Business Intelligence Strategies

Smart Data Collective

It is one of the biggest reasons that the market for big data is projected to be worth $273 billion by 2026. Companies are finding more creative ways to employ data analytics to improve their business intelligence strategies. One of them is by using layered navigation.

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A summary of Gartner’s recent DataOps-driven data engineering best practices article

DataKitchen

On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” How do you scale an organization without hiring an army of hard-to-find data engineering talent? Data Engineering teams often deliver to one or more self-service teams in a hub and spoke or data enablement organization model.

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Centralize Your Data Processes With a DataOps Process Hub

DataKitchen

It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows. The DataKitchen Platform is a “ process hub” that masters and optimizes those processes. It often takes months to progress from a data lake to the final delivery of insights.

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The Future of the Data Lakehouse – Open

Cloudera

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. The post The Future of the Data Lakehouse – Open appeared first on Cloudera Blog.

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How Can Manufacturing Data Help Your Organization?

Sisense

In Moving Parts , we explore the unique data and analytics challenges manufacturing companies face every day. The world of data in modern manufacturing. At the same time, data can inform a company about potential markets so it can judge how much risk an innovation carries.

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Smart manufacturing technology is transforming mass production

IBM Big Data Hub

artificial intelligence (AI) applications, the Internet of Things (IoT), robotics and augmented reality, among others) to optimize enterprise resource planning (ERP), making companies more agile and adaptable. Ensure that sensitive data remains within their own network, improving security and compliance.