Materias:

Materias:

Tabla de Contenidos: “…Learning Apache Cassandra / Ruth Stryker -- Introduction to Apache Kafka / Gwen Shapira -- Introduction to Apache Spark / Paco Nathan -- Large-scale real-time stream processing and analytics -- An introduction to time series with Team Apache / Patrick McFadin…”

“…Actualidad e importancia de la implementación de Big Data utilizando las herramientas Hadoop y Spark. Lámpsakos…”

Tabla de Contenidos: “…. -- Chapter 3: Understanding Spark Query Execution -- Technical requirements -- Introduction to jobs, stages, and tasks -- Getting ready -- How to do it... -- How it works... -- Checking the execution details of all the executed Spark queries via the Spark UI -- Getting ready -- How to do it... -- How it works... -- Deep diving into schema inference -- Getting ready -- How to do it... -- How it works... -- There's more... -- Looking into the query execution plan -- Getting ready -- How to do it... -- How it works... -- How joins work in Spark -- Getting ready -- How to do it... -- How it works... -- There's more... -- Learning about input partitions -- Getting ready -- How to do it... -- How it works... -- Learning about output partitions -- Getting ready -- How to do it... -- How it works... -- Learning about shuffle partitions -- Getting ready -- How to do it... -- How it works... -- Storage benefits of different file types -- Getting ready -- How to do it... -- How it works... -- Chapter 4: Working with Streaming Data -- Technical requirements -- Reading streaming data from Apache Kafka -- Getting ready -- How to do it... -- How it works... -- Reading streaming data from Azure Event Hubs -- Getting ready -- How to do it... -- How it works... -- Reading data from Event Hubs for Kafka -- Getting ready -- How to do it... -- How it works... -- Streaming data from log files -- Getting ready -- How to do it... -- How it works... -- Understanding trigger options -- Getting ready -- How to do it... -- How it works... -- Understanding window aggregation on streaming data -- Getting ready -- How to do it... -- How it works... -- Understanding offsets and checkpoints -- Getting ready -- How to do it...…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credits -- About Packt -- Contributors -- Table of Contents -- Preface -- Chapter 1: Pyspark and Setting up Your Development Environment -- An overview of PySpark -- Spark SQL -- Setting up Spark on Windows and PySpark -- Core concepts in Spark and PySpark -- SparkContext -- Spark shell -- SparkConf -- Summary -- Chapter 2: Getting Your Big Data into the Spark Environment Using RDDs -- Loading data on to Spark RDDs -- The UCI machine learning repository -- Getting the data from the repository to Spark -- Getting data into Spark -- Parallelization with Spark RDDs -- What is parallelization? …”

Tabla de Contenidos: “…Scala Programming Projects: Build real-world projects using popular Scala frameworks such as Play, Akka, and Spark…”

Tabla de Contenidos: “…Kunst mit Deep Learning -- Bilderkennung und Klassifizierung -- Deep Dreaming -- Deep Dreaming in der Cloud -- Prognosen von Zeitreihen -- Kapitel 7: Deep Learning und Big Data -- TensorFlow verteilen -- Caffe2 verteilen -- Spark und Deep Learning -- TensorFrames -- Intels BigDL -- SparkNet -- CaffeOnSpark -- TensorFlowOnSpark -- Deep Learning und die Amazon-Cloud -- Googles Cloud Platform -- Kapitel 8: Deep Learning produktiv -- Modellgüte bewerten -- Trainingsdaten und Testdaten -- Konfusionsmatrix -- Mittlere quadratische Abweichung -- Mittlere absolute Abweichung -- R2 -- Bias -- Underfitting und Overfitting -- Modelle einfrieren -- Modelle nutzen -- Entwicklungspipeline -- Laufzeitumgebungen -- TensorFlow Serving -- AWS Lambda -- Anhang: Arbeiten mit dem Docker-Container -- Index -- Über den Autor -- Kolophon…”