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

datapine

Financial efficiency: One of the key benefits of big data in supply chain and logistics management is the reduction of unnecessary costs. Using the right dashboard and data visualizations, it’s possible to hone in on any trends or patterns that uncover inefficiencies within your processes.

Big Data 275
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What is a DataOps Engineer?

DataKitchen

DataOps establishes a process hub that automates data production and analytics development workflows so that the data team is more efficient, innovative and less prone to error. In this blog, we’ll explore the role of the DataOps Engineer in driving the data organization to higher levels of productivity. Create tests.

Testing 157
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Introducing Cloudera DataFlow Designer: Self-service, No-Code Dataflow Design

Cloudera

Developers need to onboard new data sources, chain multiple data transformation steps together, and explore data as it travels through the flow. A reimagined visual editor to boost developer productivity and enable self service. Figure 7: Test sessions provide an interactive experience that NiFi developers love.

Testing 98
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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

He/she assists the organization by providing clarity and insight into advanced data technology solutions. As quality issues are often highlighted with the use of dashboard software , the change manager plays an important role in the visualization of data quality. Here, it all comes down to the data transformation error rate.

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Cloudera DataFlow Designer: The Key to Agile Data Pipeline Development

Cloudera

We just announced the general availability of Cloudera DataFlow Designer , bringing self-service data flow development to all CDP Public Cloud customers. In our previous DataFlow Designer blog post , we introduced you to the new user interface and highlighted its key capabilities.

Testing 82
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Happy Birthday, CDP Public Cloud

Cloudera

CDP Data Engineering (1) – a service purpose-built for data engineers focused on deploying and orchestrating data transformation using Spark at scale. We invite you to learn more about CDP Public Cloud for yourself by watching a product demo or by taking the platform for a test drive (it’s free to get started). .

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Using COD and CML to build applications that predict stock data

Cloudera

Continuing from my previous blog post about how awesome and easy it is to develop web-based applications backed by Cloudera Operational Database (COD), I started a small project to integrate COD with another CDP cloud experience, Cloudera Machine Learning (CML). . Now, let’s start testing our model! b) Basic data transformation.