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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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How to Become an Azure Data Engineer? 2023 Roadmap

Knowledge Hut

To provide end users with a variety of ready-made models, Azure Data engineers collaborate with Azure AI services built on top of Azure Cognitive Services APIs. Understanding SQL You must be able to write and optimize SQL queries because you will be dealing with enormous datasets as an Azure Data Engineer.

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15+ Must Have Data Engineer Skills in 2023

Knowledge Hut

Technical Data Engineer Skills 1.Python Python Python is one of the most looked upon and popular programming languages, using which data engineers can create integrations, data pipelines, integrations, automation, and data cleansing and analysis. ETL is central to getting your data where you need it.

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Data Pipeline- Definition, Architecture, Examples, and Use Cases

ProjectPro

Generally, data pipelines are created to store data in a data warehouse or data lake or provide information directly to the machine learning model development. Keeping data in data warehouses or data lakes helps companies centralize the data for several data-driven initiatives.

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Forge Your Career Path with Best Data Engineering Certifications

ProjectPro

Azure Data Engineer Associate DP-203 Certification Candidates for this exam must possess a thorough understanding of SQL, Python, and Scala, among other data processing languages. Must be familiar with data architecture, data warehousing, parallel processing concepts, etc. big data and ETL tools, etc.

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How to Become an Azure Data Engineer in 2023?

ProjectPro

Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. Relational and non-relational databases are among the most common data storage methods. Learning SQL is essential to comprehend the database and its structures. The final step is to publish your work.

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100+ Data Engineer Interview Questions and Answers for 2023

ProjectPro

Differentiate between relational and non-relational database management systems. Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language).