Advanced Spark Optimization

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Explores recursive functions, including factorials and Fibonacci sequences, and their scope and namespaces.

Covers data wrangling techniques using Hadoop, focusing on row versus column-oriented databases, popular storage formats, and HBase-Hive integration.

Explores data wrangling with Hadoop, emphasizing storage formats and Hive for big data processing.

Introduces collaborative data science tools like Git and Docker, emphasizing teamwork and practical exercises for effective learning.

Explores data manipulation, exploration, and visualization in data science projects using Python.

Covers decision tree classification using KNIME Analytics Platform for data preprocessing and model creation.

Explores file handling and exceptions in Python programming, covering reading, writing, and error handling strategies.

Explores dictionaries, tuples, mutable objects, and variable-length arguments in Python.

Introduces Renku, a platform for collaborative data science, emphasizing reproducibility, shareability, reusability, and security.

Covers Python list manipulation and comprehension, emphasizing memory representation and mutability.