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Data Lineage Tools: Key Capabilities and 5 Notable Solutions

Databand.ai

Data lineage tools provide a visual representation of your data’s journey across multiple systems and transformations. This feature is particularly useful in complex data architectures, where data may pass through multiple systems and transformations. It provides context for data, making it easier to understand and manage.

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Data Engineering Weekly #137

Data Engineering Weekly

Editors Note: 🔥 DEW is thrilled to announce a developer-centric Data Eng & AI conference in the tech hub of Bengaluru, India, on October 12th! LinkedIn write about Hoptimator for auto generated Flink pipeline with multiple stages of systems. See how it works today. Write SQL queries without learning SQL?

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The Rise of the Data Engineer

Maxime Beauchemin

This discipline also integrates specialization around the operation of so called “big data” distributed systems, along with concepts around the extended Hadoop ecosystem, stream processing, and in computation at scale. Those systems have been taught to normalize the data for storage on their own.

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Rebuilding Netflix Video Processing Pipeline with Microservices

Netflix Tech

This introductory blog focuses on an overview of our journey. Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process.

Process 91
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Kubernetes Pods: How to Create with Examples

Knowledge Hut

Kubernetes (sometimes shortened to K8s with the 8 standing for the number of letters between the “K” and the “s”) is an open-source system to deploy, scale, and manage containerized applications anywhere. Kubernetes is a container-centric management software that allows the creation and deployment of containerized applications with ease.

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Data Entropy?—?More Data, More Problems?

Towards Data Science

Webster’s dictionary defines Entropy in thermodynamics as a measure of the unavailable energy in a closed thermodynamic system that is also usually considered to be a measure of the system’s disorder. Data engineers spend countless hours troubleshooting broken pipelines. More can be found in this blog.

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Creating Value With a Data-Centric Culture: Essential Capabilities to Treat Data as a Product

Ascend.io

Treating data as a product is more than a concept; it’s a paradigm shift that can significantly elevate the value that business intelligence and data-centric decision-making have on the business. Data pipelines Data integrity Data lineage Data stewardship Data catalog Data product costing Let’s review each one in detail.