SQL for Data Analysis: Advanced Techniques for Transforming Data Into Insights
內容描述
With the explosion of computing power, thanks to analytic databases and cloud data warehouses, SQL has become an even more robust and flexible tool for the savvy analyst or data scientist. This practical book reveals hidden ways to get the most out of your SQL workflow.You'll learn how to use both common and exotic SQL functions such as joins, window functions, subqueries, and regular expressions in new, innovative ways-as well as how to combine SQL techniques to accomplish your goals faster, with more understandable code. If you work with SQL databases, this is a must-have reference.SQL for Data Analysis covers useful applications such as: Cohort analysisText analysisAnomaly detectionTime series analysisExperiment analysisCreating complex datasets for further exploration in statistical and visualization toolsAnd more
作者介紹
Cathy Tanimura has a passion for connecting people and organizations to the data they need to make an impact. She has been analyzing data for over 20 years across a wide range of industries, from finance to B2B software to consumer services. She has experience analyzing data with SQL across most of the major proprietary and open source databases. She has built and managed data teams and data infrastructure at a number of leading tech companies. Cathy is also a frequent speaker at top conferences, on topics including building data cultures, data-driven product development, and inclusive data analysis.
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