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.
You certainly have a flair for poetry. The world around us reveals itself to every creative person in a unique and interesting way. Keep looking and discover new facets of beauty! R. Seshasayee Executive Vice Chairman, Hinduja Group Chairman - Infosys Systems I find earthy reality in your lines. They reflect the daily lives that millions of us lead. You have God blessed gift which you can put to good use by getting online with your lines and reaching out distances that you may not care to traverse. R.Shankar Raman Director & Chief Financial Officer Larsen & Toubro Ltd. Your poems are paeans to cricket idols, with your passionate devotion to the game as well as your sound knowledge of it making them both enjoyable and credible . Ram Narayan Former Hyderabad State cricketer
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