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

AltexSoft

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. What is a data lake?

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Top Data Lake Vendors (Quick Reference Guide)

Monte Carlo

Data lakes are useful, flexible data storage repositories that enable many types of data to be stored in its rawest state. Traditionally, after being stored in a data lake, raw data was then often moved to various destinations like a data warehouse for further processing, analysis, and consumption.

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Top 10 Azure Data Engineer Job Opportunities in 2024 [Career Options]

Knowledge Hut

They use many data storage, computation, and analytics technologies to develop scalable and robust data pipelines. Role Level Intermediate Responsibilities Design and develop data pipelines to ingest, process, and transform data. Develop data models, data governance policies, and data integration strategies.

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Top 20 Azure Data Engineering Projects in 2023 [Source Code]

Knowledge Hut

An Azure Data Engineer is a professional who is in charge of designing, implementing, and maintaining data processing systems and solutions on the Microsoft Azure cloud platform. A Data Engineer is responsible for designing the entire architecture of the data flow while taking the needs of the business into account.

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15+ Best Data Engineering Tools to Explore in 2023

Knowledge Hut

It provides a unified API that allows businesses to collect customer data from various sources, such as websites, mobile apps, and servers. Key features: Centralized customer data Real-time data streaming Support for data governance 6. It can add more processing power and storage as the data grows.

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What is Real-time Data Ingestion? Use cases, Tools, Infrastructure

Knowledge Hut

The infrastructure for real-time data ingestion typically consists of several key features: Data Sources: These are the Systems, devices, and applications which create vast amounts of data in real-time. Like IoT devices, sensors, social media platforms, financial data, etc.

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Azure Data Engineer Resume

Edureka

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. As a certified Azure Data Engineer, you have the skills and expertise to design, implement and manage complex data storage and processing solutions on the Azure cloud platform.