Modern Data Engineering with Apache Spark
portes grátis
Modern Data Engineering with Apache Spark
A Hands-On Guide for Building Mission-Critical Streaming Applications
Haines, Scott
APress
03/2022
585
Mole
Inglês
9781484274514
15 a 20 dias
1149
Descrição não disponível.
Part I. The Fundamentals of Data Engineering with Spark.- 1. Introduction to Modern Data Engineering.- 2. Getting Started with Apache Spark.- 3. Working with Data.- 4. Transforming Data with Spark SQL and the DataFrame API.- 5. Bridging Spark SQL with JDBC.- 6. Data Discovery and the Spark SQL Catalog.- 7. Data Pipelines & Structured Spark Applications.- Part II. The Streaming Pipeline Ecosystem.- 8. Workflow Orchestration with Apache Airflow.- 9. A Gentle Introduction to Stream Processing.- 10. Patterns for Writing Structured Streaming Applications.- 11. Apache Kafka & Spark Structured Streaming.- 12. Analytical Processing & Insights.- Part III. Advanced Techniques.- 13. Advanced Analytics with Spark Stateful Structured Streaming.- 14. Deploying Mission Critical Spark Applications on Spark Standalone.- 15. Deploying Mission Critical Spark Applications on Kubernetes.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Apache Spark;Data Engineering;Data Modeling;Data Pipelines;Data Architecture;Streaming Data;Big Data;Machine Learning;ETL;Data Lineage;Analytics;Big Data;Stream Processing with Apache Spark;Data-Intensive Applications;Modern Data Engineering;Apache Zeppelin;DataFrames;SparkSQL;Design Patterns for Data;Performance Tuning
Part I. The Fundamentals of Data Engineering with Spark.- 1. Introduction to Modern Data Engineering.- 2. Getting Started with Apache Spark.- 3. Working with Data.- 4. Transforming Data with Spark SQL and the DataFrame API.- 5. Bridging Spark SQL with JDBC.- 6. Data Discovery and the Spark SQL Catalog.- 7. Data Pipelines & Structured Spark Applications.- Part II. The Streaming Pipeline Ecosystem.- 8. Workflow Orchestration with Apache Airflow.- 9. A Gentle Introduction to Stream Processing.- 10. Patterns for Writing Structured Streaming Applications.- 11. Apache Kafka & Spark Structured Streaming.- 12. Analytical Processing & Insights.- Part III. Advanced Techniques.- 13. Advanced Analytics with Spark Stateful Structured Streaming.- 14. Deploying Mission Critical Spark Applications on Spark Standalone.- 15. Deploying Mission Critical Spark Applications on Kubernetes.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Apache Spark;Data Engineering;Data Modeling;Data Pipelines;Data Architecture;Streaming Data;Big Data;Machine Learning;ETL;Data Lineage;Analytics;Big Data;Stream Processing with Apache Spark;Data-Intensive Applications;Modern Data Engineering;Apache Zeppelin;DataFrames;SparkSQL;Design Patterns for Data;Performance Tuning
