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Top ETL Use Cases for BI and Analytics:Real-World Examples

ProjectPro

However, the vast volume of data will overwhelm you if you start looking at historical trends. The time-consuming method of data collection and transformation can be eliminated using ETL. You can analyze and optimize your investment strategy using high-quality structured data.

BI 52
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How to Become an Azure Data Engineer in 2023?

ProjectPro

Data engineering is a new and ever-evolving field that can withstand the test of time and computing developments. Companies frequently hire certified Azure Data Engineers to convert unstructured data into useful, structured data that data analysts and data scientists can use.

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Top Hadoop Projects and Spark Projects for Beginners 2021

ProjectPro

Such unstructured data has been easily handled by Apache Hadoop and with such mining of reviews now the airline industry targets the right area and improves on the feedback given. Tools/Tech stack used: The tools and technologies used for such sentiment analysis using Apache Hadoop are Twitter, Twitter API, MapReduce, and Hive.

Hadoop 52
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Data Collection for Machine Learning: Steps, Methods, and Best Practices

AltexSoft

From the perspective of data science, all miscellaneous forms of data fall into three large groups: structured, semi-structured, and unstructured. Key differences between structured, semi-structured, and unstructured data.