BOOKS - OS AND DB - ADO.NET Data Access Technology With C#
ADO.NET Data Access Technology With C# - Theophilus Edet 2023 PDF CompreQuest Books BOOKS OS AND DB
ECO~18 kg CO²

1 TON

Views
58722

Telegram
 
ADO.NET Data Access Technology With C#
Author: Theophilus Edet
Year: 2023
Pages: 482
Format: PDF
File size: 33.2 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Effective Data Science Infrastructure How to make data scientists productive (MEAP Version 7)
The Data Preparation Journey: Finding Your Way with R (Chapman and Hall CRC Data Science Series)
Humanities Data in R Exploring Networks, Geospatial Data, Images, and Text, 2nd Edition
The Self-Service Data Roadmap Democratize Data and Reduce Time to insight (Early Release)
Humanities Data in R Exploring Networks, Geospatial Data, Images, and Text, 2nd Edition
Data Universe Organizational Insights with Python Embracing Data Driven Decision Making
Training Data for Machine Learning Human Supervision from Annotation to Data Science (Final)
Data Governance The Definitive Guide People, Processes, and Tools to Operationalize Data Trustworthiness
R Graphics Essentials for Great Data Visualization +200 Practical Examples You Want to Know for Data Science
Data Science Essentials with R Learn with focus on data manipulation, visualization, and machine learning
Python for Data Analysis Data Wrangling with Pandas, NumPy, and IPython, 2nd Edition
The Real Work of Data Science Turning data into information, better decisions, and stronger organizations
Data Mesh Principles, Patterns, Architecture, and Strategies for Data-Driven Decision Making
Behavioral Data Analysis with R and Python Customer-Driven Data for Real Business Results
Big Data, Data Mining, and Machine Learning Value Creation for Business Leaders and Practitioners
Tableau for Salesforce Visualise data and generate insights with the leading platforms for data analytics
Data Universe: Organizational Insights with Python: Embracing Data Driven Decision Making
Behavioral Data Analysis with R and Python: Customer-Driven Data for Real Business Results
Data Centric Artificial Intelligence: A Beginner|s Guide (Data-Intensive Research)
Big Data, Small Devices Investigating the Natural World Using Real-Time Data
Learning Data Science Data Wrangling, Exploration, Visualization, and Modeling with Python (Final)
Practical Data Science with SAP Machine Learning Techniques for Enterprise Data, First Edition
Big Data and Analytics for Beginners: Navigating the World of Data-Driven Decision Making
Humanizing Big Data: Marketing at the Meeting of Data, Social Science and Consumer Insight
Learning Data Science Data Wrangling, Exploration, Visualization, and Modeling with Python (Final)
Agile Data Science 2.0 Building Full-Stack Data Analytics Applications with Spark
Univariate, Bivariate, and Multivariate Statistics Using R Quantitative Tools for Data Analysis and Data Science
Data Universe Organizational Insights with Python Embracing Data Driven Decision Making
SQL for Data Analysis Advanced Techniques for Transforming Data into Insights (Early Release)
Visualizing Technology Complete, 5th Edition (Geoghan Visualizing Technology Series)
Hands-On Salesforce Data Cloud Implementing and Managing a Real-Time Customer Data Platform
Computer Science in Sport: Modeling, Simulation, Data Analysis and Visualization of Sports-Related Data
Python for Data Analysis: Unlocking Insights and Driving Innovation with Powerful Data Techniques. 2 in 1 Guide
Data Analytics for Pandemics A COVID-19 Case Study (Intelligent Signal Processing and Data Analysis)
Core Data for iOS Developing Data-Driven Applications for the iPad, iPhone, and iPod touch
Hands on Azure Data Studio Microsoft|s Open Platform for Data Engineering and Analytics
Data Sketches A journey of imagination, exploration, and beautiful data visualizations (AK Peters Visualization Series)
Hands-On Salesforce Data Cloud: Implementing and Managing a Real-Time Customer Data Platform
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