Introduction to Apache Phoenix
This is a beginner level class for data analysts with RDBMS backgrounds looking to learn more about Big Data NoSQL solutions and the available SQL layers for Big Data. The course begins with a review of the performance characteristics of SQL systems vs. NoSQL systems, so you'll know how to stru...
Otros Autores: | |
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Formato: | |
Idioma: | Inglés |
Publicado: |
Infinite Skills
2016.
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Edición: | 1st edition |
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Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631226806719 |
Sumario: | This is a beginner level class for data analysts with RDBMS backgrounds looking to learn more about Big Data NoSQL solutions and the available SQL layers for Big Data. The course begins with a review of the performance characteristics of SQL systems vs. NoSQL systems, so you'll know how to structure data to get maximum performance from NoSQL solutions. It then moves into a detailed tutorial on how to use Apache Phoenix, the easy-to-use SQL "skin" layer for NoSQL HBase. Understand the performance characteristics of relational SQL systems vs. NoSQL systems Explore the use of Apache Phoenix, the SQL "skin" layer for working with NoSQL HBase Learn the fundamentals of HBase, and how to obtain and configure Apache Phoenix Discover why Phoenix interacts with HBase much easier than native HBase tools Learn to create Phoenix tables, load data, and execute queries against that data See how to retrieve data from Phoenix by using a JDBC connection Understand how to structure data to get maximum performance from NoSQL solutions Tom Hanlon is a professional technical trainer with 15+ years of experience teaching Hadoop, MapReduce, YARN, NoSQL, Big Data, distributed systems, machine learning, SQL, and more. He is a Certified Cloudera Developer for Apache Hadoop; he's held senior level training positions at Cloudera, Hortonworks, and Sun Microsystems; and is the author of the O'Reilly titles Introduction to Apache Hive and Learning Apache Pig. |
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Notas: | Title from title screen (viewed October 4, 2016). Date of release from resource description page (Safari, viewed October 4, 2016). |
Descripción Física: | 1 online resource (1 video file, approximately 1 hr., 42 min.) |