Description Carry out data analysis With Py Spark SQL, graphframes, and graph data processing using a problem-solution approach.
Sundar Rajan Raman is an artificial intelligence practitioner currently.
His venture Walsoul Private Ltd provides training in data science, programming, and big data.
He works on programming tools such as R, Python, scikit-learn, Statsmodels, Hadoop, Hive, Pig, Spark, and many others.
Raju is also a data science consultant solving complex industrial problems.
Working as a corporate trainer he has developed unique insights that help him in teaching and explaining complex ideas With ease.
Raju primarily works in the areas of data science and its different applications.
Tech in computational sciences from Indian Institute of Science in Bangalore, India.
He was inspired to pursue an M.
About the Author Raju Kumar Mishra has strong interests in data science and systems that have the capability of handling large amounts of data and operating complex mathematical models through computational programming.
What You Will Learn Understand Py Spark SQL and its advanced features Use SQL and Hive QL With Py Spark SQLWork With structured streaming Optimize Py Spark SQL Master Graphframes and graph processing Who This Book Is For Data scientists, Python programmers, and SQL programmers.
On completing this book, you\'ll have ready-made code for all your Py Spark SQL tasks, including creating dataframes using data from different file formats as well as from SQL or No SQL databases.
You\'ll also discover how to solve problems in graph analysis using graphframes.
Py Spark SQL Recipes starts With recipes on creating dataframes from different types of data source, data aggregation and summarization, and exploratory data analysis using Py Spark SQL.
You will improve your skills in graph data analysis using Graphframes and see how to optimize your Py Spark SQL code.
This book provides solutions to problems related to dataframes, data manipulation summarization, and exploratory analysis.
Description Carry out data analysis With Py Spark SQL, graphframes, and graph data processing using a problem-solution approach
