Apache Spark with Python: big data with PySpark and Spark
"This course covers all the fundamentals of Apache Spark with Python and teaches you everything you need to know about developing Spark applications using PySpark, the Python API for Spark. At the end of this course, you will gain in-depth knowledge about Apache Spark and general big data analy...
Gespeichert in:
| Beteiligte Personen: | , |
|---|---|
| Weitere beteiligte Personen: | |
| Format: | Elektronisch Video |
| Sprache: | Englisch |
| Veröffentlicht: |
[Place of publication not identified]
Packt Publishing
2018
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| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781789133394/?ar |
| Zusammenfassung: | "This course covers all the fundamentals of Apache Spark with Python and teaches you everything you need to know about developing Spark applications using PySpark, the Python API for Spark. At the end of this course, you will gain in-depth knowledge about Apache Spark and general big data analysis and manipulations skills to help your company to adopt Apache Spark for building big data processing pipeline and data analytics applications. This course covers 10+ hands-on big data examples. You will learn valuable knowledge about how to frame data analysis problems as Spark problems. Together we will learn examples such as aggregating NASA Apache weblogs from different sources; we will explore the price trend by looking at the real estate data in California; we will write Spark applications to find out the median salary of developers in different countries through the Stack Overflow survey data; we will develop a system to analyze how maker spaces are distributed across different regions in the United Kingdom. And much much more."--Resource description page |
| Beschreibung: | Title from resource description page (Safari, viewed July 1, 2019) |
| Umfang: | 1 Online-Ressource (1 streaming video file (3 hr., 18 min., 17 sec.)) |
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| spelling | Magalhães Bernardo, Pedro RednerIn spk Apache Spark with Python big data with PySpark and Spark Pedro Magalhães Bernardo, Tao W, James Lee [Place of publication not identified] Packt Publishing 2018 1 Online-Ressource (1 streaming video file (3 hr., 18 min., 17 sec.)) zweidimensionales bewegtes Bild tdi rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Title from resource description page (Safari, viewed July 1, 2019) "This course covers all the fundamentals of Apache Spark with Python and teaches you everything you need to know about developing Spark applications using PySpark, the Python API for Spark. At the end of this course, you will gain in-depth knowledge about Apache Spark and general big data analysis and manipulations skills to help your company to adopt Apache Spark for building big data processing pipeline and data analytics applications. This course covers 10+ hands-on big data examples. You will learn valuable knowledge about how to frame data analysis problems as Spark problems. Together we will learn examples such as aggregating NASA Apache weblogs from different sources; we will explore the price trend by looking at the real estate data in California; we will write Spark applications to find out the median salary of developers in different countries through the Stack Overflow survey data; we will develop a system to analyze how maker spaces are distributed across different regions in the United Kingdom. And much much more."--Resource description page Spark (Electronic resource : Apache Software Foundation) Data mining Python (Computer program language) Big data Electronic data processing Data Mining Spark (Electronic resource : Apache Software Foundation) (OCoLC)fst01938143 Exploration de données (Informatique) Python (Langage de programmation) Données volumineuses Big data (OCoLC)fst01892965 Data mining (OCoLC)fst00887946 Electronic data processing (OCoLC)fst00906956 Python (Computer program language) (OCoLC)fst01084736 Tao W VerfasserIn aut Lee, James VerfasserIn aut |
| spellingShingle | Tao W Lee, James Apache Spark with Python big data with PySpark and Spark Spark (Electronic resource : Apache Software Foundation) Data mining Python (Computer program language) Big data Electronic data processing Data Mining Spark (Electronic resource : Apache Software Foundation) (OCoLC)fst01938143 Exploration de données (Informatique) Python (Langage de programmation) Données volumineuses Big data (OCoLC)fst01892965 Data mining (OCoLC)fst00887946 Electronic data processing (OCoLC)fst00906956 Python (Computer program language) (OCoLC)fst01084736 |
| subject_GND | (OCoLC)fst01938143 (OCoLC)fst01892965 (OCoLC)fst00887946 (OCoLC)fst00906956 (OCoLC)fst01084736 |
| title | Apache Spark with Python big data with PySpark and Spark |
| title_auth | Apache Spark with Python big data with PySpark and Spark |
| title_exact_search | Apache Spark with Python big data with PySpark and Spark |
| title_full | Apache Spark with Python big data with PySpark and Spark Pedro Magalhães Bernardo, Tao W, James Lee |
| title_fullStr | Apache Spark with Python big data with PySpark and Spark Pedro Magalhães Bernardo, Tao W, James Lee |
| title_full_unstemmed | Apache Spark with Python big data with PySpark and Spark Pedro Magalhães Bernardo, Tao W, James Lee |
| title_short | Apache Spark with Python |
| title_sort | apache spark with python big data with pyspark and spark |
| title_sub | big data with PySpark and Spark |
| topic | Spark (Electronic resource : Apache Software Foundation) Data mining Python (Computer program language) Big data Electronic data processing Data Mining Spark (Electronic resource : Apache Software Foundation) (OCoLC)fst01938143 Exploration de données (Informatique) Python (Langage de programmation) Données volumineuses Big data (OCoLC)fst01892965 Data mining (OCoLC)fst00887946 Electronic data processing (OCoLC)fst00906956 Python (Computer program language) (OCoLC)fst01084736 |
| topic_facet | Spark (Electronic resource : Apache Software Foundation) Data mining Python (Computer program language) Big data Electronic data processing Data Mining Exploration de données (Informatique) Python (Langage de programmation) Données volumineuses |
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