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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. These applications are designed to benefit logistics and shipping companies alike. Did you know?

Big Data 275
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Use Apache Iceberg in your data lake with Amazon S3, AWS Glue, and Snowflake

AWS Big Data

Customers are using AWS and Snowflake to develop purpose-built data architectures that provide the performance required for modern analytics and artificial intelligence (AI) use cases. Snowflake integrates with AWS Glue Data Catalog to access the Iceberg table catalog and the files on Amazon S3 for analytical queries.

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Your Introduction To CFO Dashboards & Reports In The Digital Age

datapine

CFO dashboards exist to enhance the strategic as well as the analytical efforts related to every financial aspect of your business. Benefit from great CFO dashboards & reports! In essence, a CFO dashboard is the analytical nerve center for all of your most invaluable financial data. We offer a 14-day free trial.

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Implement data warehousing solution using dbt on Amazon Redshift

AWS Big Data

Amazon Redshift is a cloud data warehousing service that provides high-performance analytical processing based on a massively parallel processing (MPP) architecture. In this post, we look into an optimal and cost-effective way of incorporating dbt within Amazon Redshift. For more information, refer SQL models.

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Perks of Predictive Analytics for Businesses Big and Small

Smart Data Collective

As a business owner, you’ve heard about predictive analytics, and you know some people are excited about it, but you’re still not sure how it’s supposed to help. The following are some major benefits of predictive analytics for businesses big and small. Quicker Snapshots of the Future.

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Power enterprise-grade Data Vaults with Amazon Redshift – Part 2

AWS Big Data

In the following sections, we discuss the most common areas of consideration that are critical for Data Vault implementations at scale: data protection, performance and elasticity, analytical functionality, cost and resource management, availability, and scalability.

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Apache Iceberg optimization: Solving the small files problem in Amazon EMR

AWS Big Data

Compaction is the process of combining these small data and metadata files to improve performance and reduce cost. For more information on streaming applications on AWS, refer to Real-time Data Streaming and Analytics. We use an EMR notebook to demonstrate the benefits of the compaction utility.