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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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Amazon OpenSearch Service Under the Hood : OpenSearch Optimized Instances(OR1)

AWS Big Data

Amazon OpenSearch Service recently introduced the OpenSearch Optimized Instance family (OR1), which delivers up to 30% price-performance improvement over existing memory optimized instances in internal benchmarks, and uses Amazon Simple Storage Service (Amazon S3) to provide 11 9s of durability.

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Implement data warehousing solution using dbt on Amazon Redshift

AWS Big Data

In this post, we look into an optimal and cost-effective way of incorporating dbt within Amazon Redshift. In an optimal environment, we store the credentials in AWS Secrets Manager and retrieve them. Snapshots – These implements type-2 slowly changing dimensions (SCDs) over mutable source tables.

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Orca Security’s journey to a petabyte-scale data lake with Apache Iceberg and AWS Analytics

AWS Big Data

The Orca Platform is powered by a state-of-the-art anomaly detection system that uses cutting-edge ML algorithms and big data capabilities to detect potential security threats and alert customers in real time, ensuring maximum security for their cloud environment. Why did Orca choose Apache Iceberg?

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

AWS Big Data

Amazon Redshift delivers on that needed performance through a number of mechanisms such as caching, automated data model optimization, and automated query rewrites. The large majority of queries in a typical production data warehouse are repeat queries, and data warehouses with data vault implementations observe the same pattern.

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Find the best Amazon Redshift configuration for your workload using Redshift Test Drive

AWS Big Data

With the launch of Amazon Redshift Serverless and the various deployment options Amazon Redshift provides (such as instance types and cluster sizes), customers are looking for tools that help them determine the most optimal data warehouse configuration to support their Redshift workload. The following diagram illustrates the workflow.

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Resolve private DNS hostnames for Amazon MSK Connect

AWS Big Data

The connectors were only able to reference hostnames in the connector configuration or plugin that are publicly resolvable and couldn’t resolve private hostnames defined in either a private hosted zone or use DNS servers in another customer network. Many customers ensure that their internal DNS applications are not publicly resolvable.