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Big Data SMACK: A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka
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Python for Finance 2e: Mastering Data-Driven Finance
Venditore: FeltrinelliO'Reilly Media, 2019Libri in Inglese | Science, Computer & TechnologyDisponibile in 5 gg lavorativi79,99 € -
Building Applied Models for Problem Solving
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Python and SQL Crash Course: The Blueprint for Data Analytics: Master the Languages of Decision-Making and Secure Your Future in Tech
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Practical Data Engineering: Python and SQL in Action: Architecting the Invisible Infrastructure of the Information Age
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The Modern Data Layer Playbook: Practical Guidance for Choosing Relational, NoSQL, and Distributed Databases That Scale
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The Efficient API: GraphQL or REST?: Build Scalable, High-Performance Systems and Reduce Network Latency in Full-Stack Apps
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Big Data vs Fast Data in Agentic Architectures: Batch, Streaming, and AI Decision Loops
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Relational vs. Non-Relational Databases for Modern Engineering: Designing Resilient Data Layers with NewSQL, Vector Stores, and Polyglot Persistence
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Scalable Data Lakehouses: Build Scalable, Cost-Effective Analytics Platforms with Apache Iceberg, Delta Lake, and Hudi
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Google Cloud Computing for Beginners: Step-by-Step Instructions to Build, Manage, and Optimize Cloud Infrastructure in 2026.
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The Advanced Apache Airflow Handbook: Designing Reliable Data Pipelines Across Cloud and Hybrid Environments
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Enterprise Security Frameworks: Access Control Models, Encryption Standards, and Audit Procedures for Regulated Industries
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Data Lakehouse in Action: Architecting a modern and scalable data analytics platform
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Python for Data Analysis, 2e: Data Wrangling with Pandas, NumPy, and IPython
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Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python
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Artificial Intelligence in Finance: A Python-Based Guide
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Data Structures the Fun Way: An Amusing Adventure with Coffee-Filled Examples
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PyTorch for Data Science: A Practical Guide to Building and Deploying AI Models
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