BOOKS - OS AND DB - Data as a Service A Framework for Providing Reusable Enterprise D...
Data as a Service A Framework for Providing Reusable Enterprise Data Services - Pushpak Sarkar 2015 PDF Wiley BOOKS OS AND DB
ECO~23 kg CO²

2 TON

Views
28103

Telegram
 
Data as a Service A Framework for Providing Reusable Enterprise Data Services
Author: Pushpak Sarkar
Year: 2015
Format: PDF
File size: 10 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Learning Data Science Data Wrangling, Exploration, Visualization, and Modeling with Python (Final)
Data Universe: Organizational Insights with Python: Embracing Data Driven Decision Making
Data Mesh Principles, Patterns, Architecture, and Strategies for Data-Driven Decision Making
Univariate, Bivariate, and Multivariate Statistics Using R Quantitative Tools for Data Analysis and Data Science
Behavioral Data Analysis with R and Python Customer-Driven Data for Real Business Results
SQL for Data Analysis Advanced Techniques for Transforming Data into Insights (Early Release)
Practical Data Science with SAP Machine Learning Techniques for Enterprise Data, First Edition
Humanities Data in R Exploring Networks, Geospatial Data, Images, and Text, 2nd Edition
Data Mesh Principles, Patterns, Architecture, and Strategies for Data-Driven Decision Making
Tableau for Salesforce Visualise data and generate insights with the leading platforms for data analytics
Data Science Essentials with R Learn with focus on data manipulation, visualization, and machine learning
Effective Data Science Infrastructure How to make data scientists productive (MEAP Version 7)
Big Data and Analytics for Beginners: Navigating the World of Data-Driven Decision Making
R Graphics Essentials for Great Data Visualization +200 Practical Examples You Want to Know for Data Science
Training Data for Machine Learning Human Supervision from Annotation to Data Science (Final)
Big Data, Small Devices Investigating the Natural World Using Real-Time Data
The Data Preparation Journey: Finding Your Way with R (Chapman and Hall CRC Data Science Series)
Data Governance The Definitive Guide People, Processes, and Tools to Operationalize Data Trustworthiness
Humanizing Big Data: Marketing at the Meeting of Data, Social Science and Consumer Insight
Big Data, Data Mining, and Machine Learning Value Creation for Business Leaders and Practitioners
Data Centric Artificial Intelligence: A Beginner|s Guide (Data-Intensive Research)
Data Universe Organizational Insights with Python Embracing Data Driven Decision Making
Training Data for Machine Learning Human Supervision from Annotation to Data Science (Final)
Humanities Data in R Exploring Networks, Geospatial Data, Images, and Text, 2nd Edition
The Real Work of Data Science Turning data into information, better decisions, and stronger organizations
Learning Data Science Data Wrangling, Exploration, Visualization, and Modeling with Python (Final)
Behavioral Data Analysis with R and Python: Customer-Driven Data for Real Business Results
Data Universe Organizational Insights with Python Embracing Data Driven Decision Making
Agile Data Science 2.0 Building Full-Stack Data Analytics Applications with Spark
Tableau for Salesforce Visualise data and generate insights with the leading platforms for data analytics
Python for Data Analysis Data Wrangling with Pandas, NumPy, and IPython, 2nd Edition
Core Data for iOS Developing Data-Driven Applications for the iPad, iPhone, and iPod touch
Python for Data Analysis Unlocking Insights and Driving Innovation with Powerful Data Techniques. 2 in 1 Guide
Hands on Azure Data Studio Microsoft|s Open Platform for Data Engineering and Analytics
Tuning the Snowflake Data Cloud: Optimizing Your Data Platform to Minimize Cost and Maximize Performance
Tuning the Snowflake Data Cloud Optimizing Your Data Platform to Minimize Cost and Maximize Performance
Apache Iceberg The Definitive Guide Data Lakehouse Functionality, Performance, and Scalability on the Data Lake
Computer Science in Sport: Modeling, Simulation, Data Analysis and Visualization of Sports-Related Data
Practical Synthetic Data Generation Balancing Privacy and the Broad Availability of Data (Early Release)
Data Warehouse and Data Mining: Concepts, techniques and real life applications (English Edition)