It takes the average reader 5 hours and 47 minutes to read PySpark SQL Recipes by Raju Kumar Mishra
Assuming a reading speed of 250 words per minute. Learn more
Carry out data analysis with PySpark SQL, graphframes, and graph data processing using a problem-solution approach. This book provides solutions to problems related to dataframes, data manipulation summarization, and exploratory analysis. You will improve your skills in graph data analysis using graphframes and see how to optimize your PySpark SQL code. PySpark SQL Recipes starts with recipes on creating dataframes from different types of data source, data aggregation and summarization, and exploratory data analysis using PySpark SQL. You’ll also discover how to solve problems in graph analysis using graphframes. On completing this book, you’ll have ready-made code for all your PySpark SQL tasks, including creating dataframes using data from different file formats as well as from SQL or NoSQL databases. What You Will Learn Understand PySpark SQL and its advanced features Use SQL and HiveQL with PySpark SQL Work with structured streaming Optimize PySpark SQL Master graphframes and graph processing Who This Book Is ForData scientists, Python programmers, and SQL programmers.
PySpark SQL Recipes by Raju Kumar Mishra is 343 pages long, and a total of 86,779 words.
This makes it 116% the length of the average book. It also has 106% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 7 hours and 54 minutes to read PySpark SQL Recipes aloud.
PySpark SQL Recipes is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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