Скачать или смотреть Top Important Data Engineering Concepts 2024 | Azure Data Engineer | DP203 Tutorial | K21Academy

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➡ In this video, we will be talking about an important data concepts of data engineering on Azure.

🔹 Operational data is real-time data used for daily business operations, while analytical data is historical data used for analyzing trends and making strategic decisions.

🔹 Streaming data refers to continuous, real-time data that is generated and processed in a continuous flow, typically from sources such as sensors, social media, or website clickstreams. It is often used for real-time analytics, monitoring, and alerting.

🔹 A data pipeline is a series of processes and tools that work together to ingest, process, and transform data from various sources and move it to a destination for storage, analysis, or further processing.

🔹 A data lake is a centralized repository that allows for the storage of large amounts of structured, semi-structured, and unstructured data in its native format for future processing and analysis.

🔹 A data warehouse is a large, centralized repository of integrated data from various sources that is optimized for reporting and analysis to support business intelligence and decision-making processes.

🔹 Apache Spark is an open-source, distributed computing system used for processing large-scale data sets across clusters of computers, providing high-speed processing and efficient data analysis.

➡ Some important data concepts include data modeling, data warehousing, data mining, and data visualization, which are all critical for managing and deriving insights from data in a way that is accurate, efficient, and useful for decision-making.

🧑🏻‍💻Check the detailed video here:    • Top Important Data Engineering Concepts 20...  

💯 Register for the 𝐅𝐑𝐄𝐄 𝐂𝐋𝐀𝐒𝐒 On Microsoft Azure Data Engineering 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧👉 : https://bit.ly/3paoTPm

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