Tagdata engineering
Beinhaltet: data engineering, Data Engineering
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- Fundamentals of Data Engineering: Plan and Build Robust Data Systems von Joe Reis (2 mal)
- The Model Thinker: What You Need to Know to Make Data Work for You von Scott E. Page (2 mal)
- The Enterprise Big Data Lake: Delivering the Promise of Big Data and Data Science von Alex Gorelik (2 mal)
- Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems von Martin Kleppmann (2 mal)
- The Enterprise Data Catalog von Ole Olesen-Bagneux (1 mal)
- Modern Data Engineering with Apache Spark: A Hands-On Guide for Building Mission-Critical Streaming Applications von Scott Haines (1 mal)
- Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps von Valliappa Lakshmanan (1 mal)
- Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python von Hariom Tatsat (1 mal)
- Stream Processing with Apache Flink: Fundamentals, Implementation, and Operation of Streaming Applications von Fabian Hueske (1 mal)
- The Self-Service Data Roadmap: Democratize Data and Reduce Time to Insight von Sandeep Uttamchandani (1 mal)
- Building an Anonymization Pipeline: Creating Safe Data von Luk Arbuckle (1 mal)
- Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow von Hannes Hapke (1 mal)
- Learning Spark: Lightning-Fast Data Analytics von Jules Damji (1 mal)
- Building Event-Driven Microservices: Leveraging Organizational Data at Scale von Adam Bellemare (1 mal)
- Introduction to Parallel Computing: From Algorithms to Programming on State-of-the-Art Platforms (Undergraduate Topics in Computer Science) von Roman Trobec (1 mal)
- Mastering Large Datasets with Python: Parallelize and Distribute Your Python Code von John T. Wolohan (1 mal)
- Building Machine Learning Powered Applications: Going from Idea to Product von Emmanuel Ameisen (1 mal)
- Data Cleaning von Ihab F. Ilyas (1 mal)
- Database Internals: A Deep Dive into How Distributed Data Systems Work von Alex Petrov (1 mal)
- Stream Processing with Apache Spark: Mastering Structured Streaming and Spark Streaming von Gerard Maas (1 mal)
- Microservices Patterns: With examples in Java von Chris Richardson (1 mal)
- Spark: The Definitive Guide: Big Data Processing Made Simple von Bill Chambers (1 mal)
- Seven Databases in Seven Weeks: A Guide to Modern Databases and the NoSQL Movement von Luc Perkins (1 mal)
- Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning von Valliappa Lakshmanan (1 mal)
- DAMA-DMBOK: Data Management Body of Knowledge (2nd Edition) von DAMA International (1 mal)
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