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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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Data Engineer Learning Path, Career Track & Roadmap for 2023

ProjectPro

Good knowledge of various machine learning and deep learning algorithms will be a bonus. Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc. Good communication skills as a data engineer directly works with the different teams. Ability to demonstrate expertise in database management systems.

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Hadoop vs Spark: Main Big Data Tools Explained

AltexSoft

Master Nodes control and coordinate two key functions of Hadoop: data storage and parallel processing of data. Worker or Slave Nodes are the majority of nodes used to store data and run computations according to instructions from a master node. A powerful Big Data tool, Apache Hadoop alone is far from being almighty.

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How to Become a Big Data Engineer in 2023

ProjectPro

You must be aware of Amazon Web Services (AWS) and the data warehousing concept to effectively store the data sets. Machine Learning: Big Data, Machine Learning, and Artificial Intelligence often go hand-in-hand. Data Scientists use ML algorithms to make predictions on the data sets.

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A Beginner’s Guide to Learning PySpark for Big Data Processing

ProjectPro

PySpark SQL supports a variety of data sources, allowing SQL queries to be combined with code modifications, resulting in a powerful big data tool. PySpark SQL provides all existing and new users with consistent shared access to various data sources such as Parquet, JSON, and many others.

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Kafka vs RabbitMQ - A Head-to-Head Comparison for 2023

ProjectPro

However, if you're here to choose between Kafka vs. RabbitMQ, we would like to tell you this might not be the right question to ask because each of these big data tools excels with its architectural features, and one can make a decision as to which is the best based on the business use case. What is Kafka? What is Kafka?

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Data Lake vs Data Warehouse - Working Together in the Cloud

ProjectPro

The distillation layer enables taking the data from the storage layer and converting it into structured data for easier analysis. Analysis and Insights Layer: This layer supports running analytical algorithms and computations on the data in the data lake.