Remove 2022 Remove Blog Remove Datasets Remove Structured Data
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Using Transformers to Cut Waste and Put Smiles on Our Customers’ Faces!

Picnic Engineering

In this blog post, we’ll discuss how we teach transformers to distinguish between products like a potato and a banana, thereby enhancing future demand prediction. We enhance dataset diversity by applying random horizontal flips and rotations. Notably, approximately 20% of the dataset is allocated for evaluation.

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The Rise of Unstructured Data

Cloudera

The word “data” is ubiquitous in narratives of the modern world. And data, the thing itself, is vital to the functioning of that world. This blog discusses quantifications, types, and implications of data. Quantifications of data. Most of that data will be unstructured, and only about 10% will be stored.

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How Windward Built Real-Time Logistics Tracking and AI Insights for the Maritime Industry

Rockset

With 90% of trade being transported via sea , this data is crucial to keeping the global supply chain on track but can be difficult to disentangle and take action on. In 2022, Windward embarked on several changes to its application prompting a reconsideration of its underlying data stack.

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Re-Imagining Data Observability

Databand.ai

Re-Imagining Data Observability Ryan Yackel 2022-11-04 10:36:35 Data observability has become one of the hottest topics of the year – and for good reason. Data observability provides an end-to-end view into exactly what’s happening with data pipelines across an organization’s data fabric.

Data 52
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3 Use Cases for Real-Time Blockchain Analytics

Rockset

This blog discusses some emerging use cases for real-time blockchain analytics and some key considerations for developers building dApps. On-chain data has to be tied back to relevant off-chain datasets, which can require complex JOIN operations which lead to increased data latency.

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SQL for Data Engineering: Success Blueprint for Data Engineers

ProjectPro

of data engineer job postings on Indeed? If you are still wondering whether or why you need to master SQL for data engineering, read this blog to take a deep dive into the world of SQL for data engineering and how it can take your data engineering skills to the next level. use SQL, compared to 61.7%

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A Beginner’s Guide to Learning PySpark for Big Data Processing

ProjectPro

Features of PySpark The PySpark Architecture Popular PySpark Libraries PySpark Projects to Practice in 2022 Wrapping Up FAQs Is PySpark easy to learn? Here’s What You Need to Know About PySpark This blog will take you through the basics of PySpark, the PySpark architecture, and a few popular PySpark libraries , among other things.