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Data Operations

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May 14, 2024 2 minute read

Data operations involve the various processes involved in managing data, ensuring data quality, and maintaining data infrastructure. It encompasses a wide range of activities, including data ingestion, transformation, storage, retrieval, and analysis. Data operations play a crucial role in enabling organizations to harness the value of their data and make informed decisions.

Why Learn Data Operations?

There are numerous reasons why individuals may choose to learn data operations. Some of the key reasons include:

Path to Data Operations

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We've curated two courses to help you on your path to Data Operations. Use these to develop your skills, build background knowledge, and put what you learn to practice.
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Reading list

We've selected four books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data Operations.
Provides a comprehensive guide to data warehousing, covering topics such as data modeling, data integration, and data analysis. It is written by a team of experts from the Kimball Group, and is suitable for both beginners and experienced practitioners.
Provides a practical guide to big data analytics, covering topics such as data mining, machine learning, and data visualization. It is written by a team of experts from IBM, and is suitable for both beginners and experienced practitioners.
Provides a comprehensive guide to Hadoop, covering topics such as data storage, data processing, and data analysis. It is written by a team of experts from Hortonworks, and is suitable for both beginners and experienced practitioners.
Provides a comprehensive guide to Spark, covering topics such as data storage, data processing, and data analysis. It is written by a team of experts from Databricks, and is suitable for both beginners and experienced practitioners.
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