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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.

Big Data 275
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Streamline AI-driven analytics with governance: Integrating Tableau with Amazon DataZone

AWS Big Data

With this integration, you can now seamlessly query your governed data lake assets in Amazon DataZone using popular business intelligence (BI) and analytics tools, including partner solutions like Tableau. Use case Amazon DataZone addresses your data sharing challenges and optimizes data availability.

Analytics 118
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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. With a unified catalog, enhanced analytics capabilities, and efficient data transformation processes, were laying the groundwork for future growth.

IoT 111
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Agentic AI: Why this emerging technology will revolutionise multiple sectors

CIO Business Intelligence

New advancements in GenAI technology are set to create more transformative opportunities for tech-savvy enterprises and organisations. These developments come as data shows that while the GenAI boom is real and optimism is high, not every organisation is generating tangible value so far. 3] Preparation. Operations.

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CIOs are rethinking how they use public cloud services. Here’s why.

CIO Business Intelligence

Expense optimization and clearly defined workload selection criteria will determine which go to the public cloud and which to private cloud, he says. Secure storage, together with data transformation, monitoring, auditing, and a compliance layer, increase the complexity of the system.

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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more. What is the difference between business analytics and business intelligence?

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Automating Data Pipelines in CDP with CDE Managed Airflow Service

Cloudera

When we announced the GA of Cloudera Data Engineering back in September of last year, a key vision we had was to simplify the automation of data transformation pipelines at scale. Let’s take a common use-case for Business Intelligence reporting. Figure 2: Example BI reporting data pipeline.