BOOKS - WEB-CREATION - Web Operations Keeping the Data on Time
Web Operations Keeping the Data on Time - Edited by John Allspaw and Jesse Robbins 2010 PDF O’Reilly Media, Inc. BOOKS WEB-CREATION
ECO~15 kg CO²

1 TON

Views
28065

Telegram
 
Web Operations Keeping the Data on Time
Author: Edited by John Allspaw and Jesse Robbins
Year: 2010
Pages: 338
Format: PDF
File size: 12,62 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Data Mining Approaches for Big Data and Sentiment Analysis in Social Media
Data Smart Using Data Science to Transform Information into Insight, 2nd Edition
Streaming Data Mesh: A Model for Optimizing Real-Time Data Services
Data Warehouse and Data Mining Concepts, techniques and real life applications
Hands On With Google Data Studio A Data Citizen|s Survival Guide
Cloud Data Center Network Architectures and Technologies (Data Communication Series)
Data Engineering with AWS: A Comprehensive Guide to Building Robust Data Pipelines
Explainable Machine Learning for Geospatial Data Analysis A Data-Centric Approach
SQL for Data Analysis Advanced Techniques for Transforming Data into Insights (Final)
Power BI Give Life to Your Data With the Complete and Fastest Crash Course on Data Visualization
From Data To Profit: How Businesses Leverage Data to Grow Their Top and Bottom Lines
Unifying Business, Data, and Code: Designing Data Products With Json Schema
Data Warehouse and Data Mining Concepts, techniques and real life applications
Real-Time Data Analytics for Large Scale Sensor Data Volume Six
Data Is Everybody|s Business: The Fundamentals of Data Monetization (Management on the Cutting Edge)
Unifying Business, Data, and Code Designing Data Products With JSON Schema
Big Data in Astronomy Scientific Data Processing for Advanced Radio Telescopes
Data Analytics for Absolute Beginners A Deconstructed Guide to Data Literacy, Second Edition
Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
Learning Data Science: Data Wrangling, Exploration, Visualization, and Modeling with Python
SQL for Data Analysis: Advanced Techniques for Transforming Data into Insights
Data and AI Driving Smart Cities (Studies in Big Data, 128)
Python Data Science Handbook: Essential Tools for Working with Data
Data Wrangling on AWS: Clean and organize complex data for analysis
The Visual Organization Data Visualization, Big Data, and the Quest for Better Decisions
Effective Data Science Infrastructure How to Make Data Scientists Productive
Introduction to Data Science Data Wrangling and Visualization with R, 2nd Edition
Data Mining and Exploration From Traditional Statistics to Modern Data Science
Foundations for Architecting Data Solutions Managing Successful Data Projects
Data Analytics and Machine Learning Navigating the Big Data Landscape
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
The Shape of Data: Geometry-Based Machine Learning and Data Analysis in R
R for Data Science Import, Tidy, Transform, Visualize, and Model Data
Network Security through Data Analysis From Data to Action, 2nd Edition
Python Data Science Handbook Essential Tools for Working with Data
Multi-dimensional Urban Sensing Using Crowdsensing Data (Data Analytics)
Agile Data Science Building Data Analytics Applications with Hadoop
I Heart Logs Event Data, Stream Processing, and Data Integration
Data Mesh Delivering Data-Driven Value at Scale (Third Early Release)
Data Visualisation A Handbook for Data Driven Design 2nd Edition