Lectura limitada a 1 usuario concurrente.

Lectura limitada a 1 usuario concurrente.

“…Este libro proporciona al lector una oportunidad para empezar a programar y manejar datos a través del ecosistema Apache Spark. Spark es actualmente uno de los paquetes de código abierto más importantes en el espacio del big data y por el que importantes empresas, como IBM, SAP, Oracle o Amazon, han apostado, al tiempo que son también grandes contribuidoras. …”
Texto completo en Odilo

Enlace del recurso

Materias: “…Spark (Electronic resource : Apache Software Foundation)…”

Tabla de Contenidos: “…Intro -- Table of Contents -- About the Author -- About the Technical Reviewers -- Acknowledgments -- Introduction -- Chapter 1: Introduction to Apache Spark -- Overview -- History -- Spark Core Concepts and Architecture -- Spark Cluster and Resource Management System -- Spark Applications -- Spark Drivers and Executors -- Spark Unified Stack -- Spark Core -- Spark SQL -- Spark Structured Streaming -- Spark MLlib -- Spark GraphX -- SparkR -- Apache Spark 3.0 -- Adaptive Query Execution Framework -- Dynamic Partition Pruning (DPP) -- Accelerator-aware Scheduler -- Apache Spark Applications -- Spark Example Applications -- Apache Spark Ecosystem -- Delta Lake -- Koalas -- MLflow -- Summary -- Chapter 2: Working with Apache Spark -- Downloading and Installation -- Downloading Spark -- Installing Spark -- Spark Scala Shell -- Spark Python Shell -- Having Fun with the Spark Scala Shell -- Useful Spark Scala Shell Command and Tips -- Basic Interactions with Scala and Spark -- Basic Interactions with Scala -- Spark UI and Basic Interactions with Spark -- Spark UI -- Basic Interactions with Spark -- Introduction to Collaborative Notebooks -- Create a Cluster -- Create a Folder -- Create a Notebook -- Setting up Spark Source Code -- Summary -- Chapter 3: Spark SQL: Foundation -- Understanding RDD -- Introduction to the DataFrame API -- Creating a DataFrame -- Creating a DataFrame from RDD -- Creating a DataFrame from a Range of Numbers -- Creating a DataFrame from Data Sources -- Creating a DataFrame by Reading Text Files -- Creating a DataFrame by Reading CSV Files -- Creating a DataFrame by Reading JSON Files -- Creating a DataFrame by Reading Parquet Files -- Creating a DataFrame by Reading ORC Files -- Creating a DataFrame from JDBC -- Working with Structured Operations -- Working with Columns -- Working with Structured Transformations…”

“…Build machine learning models, natural language processing applications, and recommender systems with PySpark to solve various business challenges. This book starts with the fundamentals of Spark and its evolution and then covers the entire spectrum of traditional machine learning algorithms along with natural language processing and recommender systems using PySpark. …”

Tabla de Contenidos: “…Introduction to Apache Spark -- 2. Working with Apache Spark -- 3. Resilient Distributed Dataset -- 4. …”

Materias: “…Spark (Electronic resource : Apache Software Foundation)…”

Tabla de Contenidos: “…Cover; Copyright; Credits; Foreword; About the Author; About the Reviewer; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Getting Started with Spark and GraphX; Downloading and installing Spark 1.4.1; Experimenting with the Spark shell; Getting started with GraphX; Building a tiny social network; Loading the data; The property graph; Transforming RDDs to VertexRDD and EdgeRDD; Introducing graph operations; Building and submitting a standalone application; Writing and configuring a Spark program; Building the program with the Scala Build Tool; Deploying and running with spark-submit…”

Tabla de Contenidos: “…Chapter 1: Big Data Technology Landscape -- Chapter 2: Programming in Scala -- Chapter 3: Spark Core -- Chapter 4: Interactive Data Analysis with Spark Shell -- Chapter 5: Writing a Spark Application -- Chapter 6: Spark Streaming -- Chapter 7: Spark SQL -- Chapter 8: Machine Learning with Spark -- Chapter 9: Graph Processing with Spark -- Chapter 10: Cluster Managers -- Chapter 11: Monitoring…”

Materias: “…Spark (Electronic resource : Apache Software Foundation)…”

Materias: “…Spark (Electronic resource : Apache Software Foundation)…”

Tabla de Contenidos: “…-- What happens on executors? -- Creating a Spark application using Scala -- Spark stages -- Shuffling -- Understanding the Spark Dataset API -- Understanding the Spark DataFrame API -- Spark SQL -- The select function -- Creating temporary views -- Summary -- Chapter 4: Working with Databases -- Technical requirements -- Understanding the Spark JDBC API -- Working with the Spark JDBC API -- Loading the database configuration -- Creating a database interface -- Creating a factory method for SparkSession -- Performing various database operations -- Working with databases…”

Materias: