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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. Did you know?

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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

No, its ultimate goal is to increase return on investment (ROI) for those business segments that depend upon data. With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. The 5 Pillars of Data Quality Management.

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Modernize your ETL platform with AWS Glue Studio: A case study from BMS

AWS Big Data

In addition to using native managed AWS services that BMS didn’t need to worry about upgrading, BMS was looking to offer an ETL service to non-technical business users that could visually compose data transformation workflows and seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine.

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Top 6 Benefits of Automating End-to-End Data Lineage

erwin

Replace manual and recurring tasks for fast, reliable data lineage and overall data governance. It’s paramount that organizations understand the benefits of automating end-to-end data lineage. The importance of end-to-end data lineage is widely understood and ignoring it is risky business. defense budget.

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Introducing the AWS ProServe Hadoop Migration Delivery Kit TCO tool

AWS Big Data

To solve this, we’re introducing the Hadoop migration assessment Total Cost of Ownership (TCO) tool. The self-serve HMDK TCO tool accelerates the design of new cost-effective Amazon EMR clusters by analyzing the existing Hadoop workload and calculating the total cost of the ownership (TCO) running on the future Amazon EMR system.

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How the BMW Group analyses semiconductor demand with AWS Glue

AWS Big Data

Applied services Our solution uses the serverless services AWS Glue and Amazon Simple Storage Service (Amazon S3) to run ETL (extract, transform, and load) workflows without managing an infrastructure. It also reduces the costs by paying only for the time jobs are running.

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Introducing Cloudera DataFlow Designer: Self-service, No-Code Dataflow Design

Cloudera

Existing NiFi users can now bring their NiFi flows and run them in our cloud service by creating DataFlow Deployments that benefit from auto-scaling, one-button NiFi version upgrades, centralized monitoring through KPIs, multi-cloud support, and automation through a powerful command-line interface (CLI). Enabling self-service for developers.

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