Modern Data Engineering with Apache Spark: A Hands-On Guide for Building Mission-Critical Streaming Applications

Part I. The Fundamentals of Data Engineering with Spark1. Introduction to Modern Data Engineering2. Getting Started with Apache Spark3. Working with Data4. Transforming Data with Spark SQL and the DataFrame API5. Bridging Spark SQL with JDBC6. Data Discovery and the Spark SQL Catalog7. Data Pipelines & Structured Spark Applications
Part II. The Streaming Pipeline Ecosystem8. Workflow Orchestration with Apache Airflow9. A Gentle Introduction to Stream Processing10. Patterns for Writing Structured Streaming Applications11. Apache Kafka & Spark Structured Streaming12. Analytical Processing & Insights
Part III. Advanced Techniques13. Advanced Analytics with Spark Stateful Structured Streaming14. Deploying Mission Critical Spark Applications on Spark Standalone15. Deploying Mission Critical Spark Applications on Kubernetes

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Modern Data Engineering with Apache Spark: A Hands-On Guide for Building Mission-Critical Streaming Applications

De (autor): Scott Haines

Modern Data Engineering with Apache Spark: A Hands-On Guide for Building Mission-Critical Streaming Applications

De (autor): Scott Haines

Descrierea produsului

De pe acelasi raft

Beginning Apache Spark 2

Beginning Apache Spark 3: With Dataframe, Spark Sql, Structured Streaming, and Spark Machine Learning Library - Hien Luu

Spark - The Definitive Guide

Learning Spark: Lightning-Fast Data Analytics - Jules S. Damji

Azure Databricks Cookbook: Accelerate and scale real-time analytics solutions using the Apache Spark-based analytics service - Phani Raj

Learning PySpark: Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0 - Tomasz Drabas

High Performance Spark: Best Practices for Scaling and Optimizing Apache Spark - Holden Karau

Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark - Russell Jurney

Grokking Streaming Systems: Real-Time Event Processing - Josh Fischer

Pro Apache Phoenix

The Azure Data Lakehouse Toolkit: Building and Scaling Data Lakehouses on Azure with Delta Lake, Apache Spark, Databricks, Synapse Analytics, and Snow - Ron L'esteve

Exam Ref 70-765 Provisioning SQL Databases - Christopher Ford

Optimizing Databricks Workloads: Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads - Anirudh Kala

Business Intelligence with Databricks SQL: Concepts, tools, and techniques for scaling business intelligence on the data lakehouse - Vihag Gupta

Stream Processing with Apache Flink: Fundamentals, Implementation, and Operation of Streaming Applications - Fabian Hueske

Data Engineering with Apache Spark, Delta Lake, and Lakehouse: Create scalable pipelines that ingest, curate, and aggregate complex data in a timely a - Manoj Kukreja

Designing Applications for Google Cloud Platform: Create and Deploy Applications Using Java - Ashutosh Shashi

Hadoop: The Definitive Guide: Storage and Analysis at Internet Scale - Tom White

Data Warehouse Systems: Design and Implementation - Alejandro Vaisman

Azure Data Engineer Associate Certification Guide: A hands-on reference guide to developing your data engineering skills and preparing for the DP-203 - Newton Alex

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