Tabla de Contenidos: Spark :

Guardado en:

Autores Principales:	Chambers, Bill (Autor), Zaharia, Matei, (Autor)
Formato:	Libro
Idioma:	English
Publicado:	Sebastapol, CA : O'Reilly Media, 2018.
Edición:	First edition.
Materias:	Spark (Electronic resource : Apache Software Foundation) Apache (Computer file : Apache Group) Information retrieval. Big data. Data mining > Computer programs. Electronic data processing. Telecommunication > Message processing. Web servers > Computer programs. Web applications > Development. COMPUTERS / Computer Engineering. COMPUTERS / Data Modeling & Design. COMPUTERS / Data Processing. COMPUTERS / Databases / Data Mining. COMPUTERS / Programming Languages / Java. COMPUTERS / Programming Languages / Python. Telecommunication. Nonfiction.
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Tabla de Contenidos:

Part 1. Gentle overview of big data and Spark. What is Apache Spark?
A gentle introduction to Spark
A tour of Spark's toolset
Part 2. Structured APIs : DataFrames, SQL, and datasets. Structured API overview
Basic structured operations
Working with different types of data
Aggregations
Joins
Data sources
Spark SQL
Datasets
Part 3. Low-level APIs. Resilient distributed datasets (RDDs)
Advanced RDDs
Distributed shared variables
Part 4. Production applications. How Spark runs on a cluster
Developing Spark applications
Deploying Spark
Monitoring and debugging
Performance tuning
Part 5. Streaming. Stream processing fundamentals
Structured streaming basics
Event-time and stateful processing
Structured streaming in production
Part 6. Advanced analytics and machine learning. Advanced analytics and machine learning overview
Preprocessing and feature engineering
Classification
Regression
Recommendation
Unsupervised learning
Graph analytics
Deep learning
Part 7. Ecosystem. Language specifics : Python (PySpark) and R (SparkR and sparklyr)
Ecosystem and community.