Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 49,60
Anzahl: 2 verfügbar
In den WarenkorbZustand: New. In.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 57,84
Anzahl: 3 verfügbar
In den WarenkorbZustand: New.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 65,31
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 350 pages. 9.19x7.00x0.75 inches. In Stock.
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. 2021. Paperback. . . . . . Books ship from the US and Ireland.
Anbieter: moluna, Greven, Deutschland
Zustand: New. 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. If you work with SQL.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. SQL for Data Analysis | Advanced Techniques for Transforming Data into Insights | Cathy Tanimura | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2021 | O'Reilly Media | EAN 9781492088783 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - With the explosion of data, computing power, and cloud data warehouses, SQL has become an even more indispensable tool for the savvy analyst or data scientist. This practical book reveals new and hidden ways to improve your SQL skills, solve problems, and make the most of SQL as part of your 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 understandable code. If you work with SQL databases, this is a must-have reference. Learn the key steps for preparing your data for analysis; Perform time series analysis using SQL's date and time manipulations; Use cohort analysis to investigate how groups change over time; Use SQL's powerful functions and operators for text analysis; Detect outliers in your data and replace them with alternate values; Establish causality using experiment analysis, also known as A/B testing.