Data Engineering: Level 01
Data engineering is the aspect of data science that focuses on practical applications of data collection and analysis. For all the work that data scientists do to answer questions using large sets of information, there must be mechanisms for collecting and validating that information. In order for that work to ultimately have any value, there also have to be mechanisms for applying it to real-world operations in some way. Those are both engineering tasks: the application of science to practical, functioning systems. Data engineers focus on the applications and harvesting of big data. Their role doesn’t include a great deal of analysis or experimental design. Instead, they are out where the rubber meets the road (literally, in the case of self-driving vehicles), creating interfaces and mechanisms for the flow and access of information.
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utkarsh.raj completed the topic Extract, Transform & Load (ETL) 4 days, 21 hours ago
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utkarsh.raj completed the topic References 5 days, 19 hours ago
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utkarsh.raj completed the topic Cross Industry Standardization 5 days, 19 hours ago
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utkarsh.raj completed the topic Data Source & Database 5 days, 19 hours ago
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utkarsh.raj completed the topic Significance of Data 5 days, 19 hours ago
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utkarsh.raj started taking the course Data Engineering: Level 01 5 days, 19 hours ago
Course
Data Engineering: Level 01
Data engineering is the aspect of data science that focuses on practical applications of data collection and analysis. For all the work that data scientists do to answer questions using large sets of information, there must be mechanisms for collecting and validating that information. In order for that work to ultimately have any value, there also have to be mechanisms for applying it to real-world operations in some way. Those are both engineering tasks: the application of science to practical, functioning systems. Data engineers focus on the applications and harvesting of big data. Their role doesn’t include a great deal of analysis or experimental design. Instead, they are out where the rubber meets the road (literally, in the case of self-driving vehicles), creating interfaces and mechanisms for the flow and access of information.
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utkarsh.raj joined the group Data Engineering: Level 01 5 days, 19 hours ago
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Nithya.SN started taking the course Data Engineering: Level 01 1 week, 3 days ago
Course
Data Engineering: Level 01
Data engineering is the aspect of data science that focuses on practical applications of data collection and analysis. For all the work that data scientists do to answer questions using large sets of information, there must be mechanisms for collecting and validating that information. In order for that work to ultimately have any value, there also have to be mechanisms for applying it to real-world operations in some way. Those are both engineering tasks: the application of science to practical, functioning systems. Data engineers focus on the applications and harvesting of big data. Their role doesn’t include a great deal of analysis or experimental design. Instead, they are out where the rubber meets the road (literally, in the case of self-driving vehicles), creating interfaces and mechanisms for the flow and access of information.
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Nithya.SN joined the group Data Engineering: Level 01 1 week, 3 days ago
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Fazleen.Aneesa completed the lesson Rate you Experience 1 week, 6 days ago
Lesson
Rate you Experience
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Fazleen.Aneesa completed the topic References 1 week, 6 days ago
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Fazleen.Aneesa completed the topic Apache Spark 1 week, 6 days ago
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Fazleen.Aneesa completed the topic Apache Hive, Pig & Sqoop 1 week, 6 days ago
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Fazleen.Aneesa completed the topic Apache Hadoop 1 week, 6 days ago
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Fazleen.Aneesa completed the topic Google’s Approach 1 week, 6 days ago
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Fazleen.Aneesa completed the topic References 1 week, 6 days ago
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Fazleen.Aneesa completed the topic Quality Management 1 week, 6 days ago
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Fazleen.Aneesa completed the topic Security & Integrity Compliance 1 week, 6 days ago
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Fazleen.Aneesa completed the topic Management Systems 1 week, 6 days ago
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Fazleen.Aneesa completed the topic References 1 week, 6 days ago
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