BOOKS - PROGRAMMING - Designing Data-Intensive Applications (Early release)
Designing Data-Intensive Applications (Early release) - Martin Kleppmann 2017 PDF | EPUB O;kav_1Reilly Media BOOKS PROGRAMMING
ECO~25 kg CO²

2 TON

Views
38481

Telegram
 
Designing Data-Intensive Applications (Early release)
Author: Martin Kleppmann
Year: 2017
Format: PDF | EPUB
File size: 25 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Designing Data-Intensive Applications (Early release)
Practical Lakehouse Architecture Designing and Implementing Modern Data Platforms at Scale (5th Early Release)
Practical Lakehouse Architecture Designing and Implementing Modern Data Platforms at Scale (5th Early Release)
Designing Data intensive application in Python
Data Intensive Computing Applications for Big Data
In-Memory Computing Hardware Accelerators for Data-Intensive Applications
In-Memory Computing Hardware Accelerators for Data-Intensive Applications
Designing Machine Learning Systems (Early Release)
Data Mesh Delivering Data-Driven Value at Scale (Third Early Release)
SQL for Data Analysis Advanced Techniques for Transforming Data into Insights (Early Release)
The Self-Service Data Roadmap Democratize Data and Reduce Time to insight (Early Release)
Practical Data Science with SAP Machine Learning Techniques for Enterprise Data, Early Release
Practical Synthetic Data Generation Balancing Privacy and the Broad Availability of Data (Early Release)
Essential Math for Data Science Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics (Third Early Release)
Responsible AI Designing, Building, and Assessing Machine Learning and AI (Early Release)
Designing Software Architectures A Practical Approach, 2nd Edition (Early Release)
Designing Software Architectures A Practical Approach, 2nd Edition (Early Release)
Designing Interfaces Patterns for Effective Interaction Design, 3rd Edition (Early Release)
Designing a UX Portfolio A Practical Guide for Designers, Researchers, Content Strategists, and Developers (Early Release)
Designing for Behavior Change Applying Psychology and Behavioral Economics, 2nd Edition (Early Release)
Practical Lakehouse Architecture Designing and Implementing Modern Data Platforms at Scale (Final Release)
Practical Lakehouse Architecture Designing and Implementing Modern Data Platforms at Scale (Final Release)
Predictive Analytics for the Modern Enterprise A Practitioner’s Guide to Designing and Implementing Solutions (Fourth Early Release)
Data Engineering Design Patterns Recipes for Solving the Most Common Data Engineering Problems (3rd Early Release)
Data Engineering Design Patterns Recipes for Solving the Most Common Data Engineering Problems (3rd Early Release)
Data Modeling with Microsoft Power BI Self-Service and Enterprise Data Warehouses with Power BI (6th Early Release)
Data Modeling with Microsoft Power BI Self-Service and Enterprise Data Warehouses with Power BI (6th Early Release)
Data Governance The Definitive Guide (Early Release)
Practitioner’s Guide to Graph Data (Early Release)
Data Algorithms with Spark (Sixth Early Release)
Analytical Skills for AI and Data Science (Early Release)
Behavioral Data Analysis with R and Python (Early Release)
Python and R for the Modern Data Scientist (Early Release)
Efficient Go Data Driven Performance Optimization (Early Release)
Python for Data Analysis, 3rd Edition (Early Release)
Python for Data Analysis, 3rd Edition (Early Release)
Analytical Thinking for AI and Data Science Asking the Right Questions (Early Release)
Designing Autonomous AI End-to-End Systems for Engineers (Early Release)
Design Patterns for Cloud Native Applications (Early Release)
Building Machine Learning Powered Applications (Early Release)