PySpark SQL Recipes: With HiveQL, Dataframe and Graphframes

2h 42m
Raju Kumar Mishra, Sundar Rajan Raman
Apress
2019

Using a problem-solution approach, this authoritative resource will teach you how to carry out data analysis with PySpark SQL, graphframes, and graph data processing.

BOOK Image Processing Masterclass with Python: 50+ Solutions and Techniques Solving Complex Digital Image Processing Challenges Using Numpy, Scipy, Pytorch and Keras (English Edition)

BOOK Data Science Solutions with Python

BOOK Hands-on Data Analysis and Visualization with Pandas: Engineer, Analyse and Visualize Data, Using Powerful Python Libraries

PEOPLE WHO VIEWED THIS ALSO VIEWED THESE

BOOK Practical Apache Spark: Using the Scala API

COURSE Streaming Data Architectures: Processing Streaming Data with Spark

COURSE Introduction to Apache Spark

Get Started

Sharpen your skills. Upgrade your career. Find the right learning path for you, based on your role and skills. Take part in hands-on practice, study for a certification, and much more - all personalized for you.

*Content items for Compliance and Leadership are not included in this subscription.

Your content + our content + our platform = a path to learning success

Using our learning experience platform, Percipio, your learners can engage in custom learning paths that can feature curated content from all sources.

Learn More

Aspire to something bigger

Aspire Journeys are guided learning paths that set you in motion for career success.

Browse Aspire Journeys

Explore a world of live learning with Global Knowledge

Choose from convenient delivery formats to get the training you and your team need - where, when and how you want it.

Browse Live Learning

PySpark SQL Recipes: With HiveQL, Dataframe and Graphframes

YOU MIGHT ALSO LIKE

PEOPLE WHO VIEWED THIS ALSO VIEWED THESE