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Unstructured Data: Examples, Tools, Techniques, and Best Practices

AltexSoft

In today’s data-driven world, organizations amass vast amounts of information that can unlock significant insights and inform decision-making. A staggering 80 percent of this digital treasure trove is unstructured data, which lacks a pre-defined format or organization. What is unstructured data?

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How to Design a Modern, Robust Data Ingestion Architecture

Monte Carlo

A data ingestion architecture is the technical blueprint that ensures that every pulse of your organization’s data ecosystem brings critical information to where it’s needed most. Data Transformation : Clean, format, and convert extracted data to ensure consistency and usability for both batch and real-time processing.

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How Cloudera Data Flow Enables Successful Data Mesh Architectures

Cloudera

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. Introduction to the Data Mesh Architecture and its Required Capabilities.

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5 Reasons Manufacturers Should Move ERP Data to Snowflake to Supercharge Analytics

Snowflake

A fragmented resource planning system causes data silos, making enterprise-wide visibility virtually impossible. And in many ERP consolidations, historical data from the legacy system is lost, making it challenging to do predictive analytics. Here are five reasons to bring your ERP data to Snowflake: 1.

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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

AltexSoft

Data lakes emerged as expansive reservoirs where raw data in its most natural state could commingle freely, offering unprecedented flexibility and scalability. This article explains what a data lake is, its architecture, and diverse use cases. Who needs a data lake? Data warehouse vs. data lake in a nutshell.

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Data Lakehouse: Concept, Key Features, and Architecture Layers

AltexSoft

The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. What is a data lakehouse? Traditional data warehouse platform architecture. Data lake architecture example.

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Data Engineering: A Formula 1-inspired Guide for Beginners

Towards Data Science

Anyways, I wasn’t paying enough attention during university classes, and today I’ll walk you through data layers using —  guess what  —  an example. Business Scenario & Data Architecture Imagine this: next year, a new team on the grid, Red Thunder Racing, will call us (yes, me and you) to set up their new data infrastructure.