分散式架構 / Spark
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High Performance Spark: Best Practices for Scaling and Optimizing Apache Spark$2,340$2,223 -
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Practical Data Engineering with Apache Projects: Solving Everyday Data Challenges with Spark, Iceberg, Kafka, Flink, and More$2,160$2,052 -
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Apache Polaris: The Definitive Guide: Enriching Apache Iceberg Data Lakehouses with an Open Source Catalog$2,650$2,511 -
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Parallel Computing Technologies: 18th International Conference, Pact 2025, Almaty, Kazakhstan, October 6-10, 2025, Proceedings$3,860$3,667 -
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Dataproc Cookbook: Running Spark and Hadoop Workloads in Google Cloud (Paperback)$2,565$2,430 -
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Building Medallion Architectures: Designing with Delta Lake and Spark (Paperback)$1,995$1,890 -
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Time Series Analysis with Spark: A practical guide to processing, modeling, and forecasting time series with Apache Spark$1,640$1,558 -
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Applied Data Science Using Pyspark: Learn the End-To-End Predictive Model-Building Cycle$2,310$2,194 -
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Apache Spark for Machine Learning: Build and deploy high-performance big data AI solutions for large-scale clusters$1,640$1,558 -
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Databricks Certified Associate Developer for Apache Spark Using Python: The ultimate guide to getting certified in Apache Spark using practical exampl$1,580$1,501 -
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Data Engineering with Databricks Cookbook: Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake$1,850$1,757 -
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Data Engineering with Databricks Cookbook: Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake
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Data Engineering with Scala and Spark: Build streaming and batch pipelines that process massive amounts of data using Scala$1,730$1,643 -
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Databricks Lakehouse Platform Cookbook: 100+ Recipes for Building a Scalable and Secure Databricks Lakehouse$1,750$1,662 -
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Large-Scale Data Analytics with Python and Spark: A Hands-On Guide to Implementing Machine Learning Solutions (Paperback)$2,070$1,966 -
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Modern Data Architectures with Python: A practical guide to building and deploying data pipelines, data warehouses, and data lakes with Python$1,950$1,852 -
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Scaling Python with Dask: From Data Science to Machine Learning (Paperback)$2,508$2,376 -
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Hands-On Guide to Apache Spark 3: Build Scalable Computing Engines for Batch and Stream Data Processing$2,460$2,337 -
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Scaling Machine Learning with Spark: Distributed ML with Mllib, Tensorflow, and Pytorch$2,565$2,430 -
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Data Algorithms with Spark: Recipes and Design Patterns for Scaling Up Using Pyspark (Paperback)$2,641$2,502 -
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Modern Data Engineering with Apache Spark: A Hands-On Guide for Building Mission-Critical Streaming Applications$2,360$2,242 -
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Data Analysis with Python and Pyspark (Paperback)$2,300$2,185 -
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Optimizing Databricks Workloads: Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads$1,760$1,672 -
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$1,575Essential PySpark for Scalable Data Analytics: A beginner's guide to harnessing the power and ease of PySpark 3 -
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Beginning Apache Spark 3: With Dataframe, Spark Sql, Structured Streaming, and Spark Machine Learning Library$2,460$2,337 -
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Data Engineering with Apache Spark, Delta Lake, and Lakehouse: Create scalable pipelines that ingest, curate, and aggregate complex data in a timely a$1,920$1,824 -
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User-Defined Tensor Data Analysis$2,880$2,736 -
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Azure Databricks Cookbook: Accelerate and scale real-time analytics solutions using the Apache Spark-based analytics service$2,140$2,033 -
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Real-Time Streaming with Apache Kafka, Spark, and Storm: Create Platforms That Can Quickly Crunch Data and Deliver Real-Time Analytics to Users (Engli$1,000$950 -
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Distributed Data Systems with Azure Databricks: Create, deploy, and manage enterprise data pipelines$1,860$1,767
