Apache Hadoop, EDA and SQL - Data Science Current

Data Science Career FAQs Answered: Educational Background

Mlearning.ai

MAY 23, 2023

This includes skills in data cleaning, preprocessing, transformation, and exploratory data analysis (EDA). Familiarity with libraries like pandas, NumPy, and SQL for data handling is important. Check out this course to upskill on Apache Spark — [link] Cloud Computing technologies such as AWS, GCP, Azure will also be a plus.

Data Science

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The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

Pickl AI

JULY 25, 2023

With expertise in programming languages like Python , Java , SQL, and knowledge of big data technologies like Hadoop and Spark, data engineers optimize pipelines for data scientists and analysts to access valuable insights efficiently. ETL Tools: Apache NiFi, Talend, etc. Big Data Processing: Apache Hadoop, Apache Spark, etc.

Data Engineering

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Data Science Current

Data Science Career FAQs Answered: Educational Background

The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

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