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The Race For Data Quality in a Medallion Architecture

DataKitchen

When data reaches the Gold layer, it is highly curated and structured, offering a single version of the truth for decision-makers across the organization. We have also seen a fourth layer, the Platinum layer , in companies’ proposals that extend the Data pipeline to OneLake and Microsoft Fabric.

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Apache Ozone and Dense Data Nodes

Cloudera

Look at details of volumes/buckets/keys/containers/pipelines/datanodes. Given a file, find out what nodes/pipeline is it part of. Find out whether the data distribution across Datanodes, and within disks in a Datanode is good. Cloudera will publish separate blog posts with results of performance benchmarks.

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The Rise of the Data Engineer

Maxime Beauchemin

The fact that ETL tools evolved to expose graphical interfaces seems like a detour in the history of data processing, and would certainly make for an interesting blog post of its own. Sure, there’s a need to abstract the complexity of data processing, computation and storage.

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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.

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A Comprehensive Overview of Microsoft Fabric & Its Use Cases

RandomTrees

Data Factory, Data Activator, Power BI, Synapse Real-Time Analytics, Synapse Data Engineering, Synapse Data Science, and Synapse Data Warehouse are some of them. With One Lake serving as a primary multi-cloud repository, Fabric is designed with an open, lake-centric architecture.

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5 Steps for Migrating from Elasticsearch to Rockset for Real-Time Analytics

Rockset

This blog outlines best practices from customers I have helped migrate from Elasticsearch to Rockset , reducing risk and avoiding common pitfalls. Elasticsearch has become ubiquitous as an index centric datastore for search and rose in tandem with the popularity of the internet and Web2.0.

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The Ultimate Modern Data Stack Migration Guide

phData: Data Engineering

Slow Response to New Information: Legacy data systems often lack the computation power necessary to run efficiently and can be cost-inefficient to scale. This typically results in long-running ETL pipelines that cause decisions to be made on stale or old data.