BOOKS - OS AND DB - Architecting a Modern Data Warehouse for Large Enterprises
Architecting a Modern Data Warehouse for Large Enterprises - Anjani Kumar, Abhishek Mishra, Sanjeev Kumar 2024 PDF Apress BOOKS OS AND DB
ECO~15 kg CO²

1 TON

Views
12538

Telegram
 
Architecting a Modern Data Warehouse for Large Enterprises
Author: Anjani Kumar, Abhishek Mishra, Sanjeev Kumar
Year: 2024
Pages: 378
Format: PDF
File size: 10.1 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Tuning the Snowflake Data Cloud: Optimizing Your Data Platform to Minimize Cost and Maximize Performance
Data Sketches A journey of imagination, exploration, and beautiful data visualizations (AK Peters Visualization Series)
Python for Data Analysis The Ultimate Beginner|s Guide to Data Analytics, Deep Learning
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
Hands-On Salesforce Data Cloud Implementing and Managing a Real-Time Customer Data Platform
Big Data and Hadoop Fundamentals, tools, and techniques for data-driven success - 2nd Edition
Data Science in Chemistry: Artificial Intelligence, Big Data, Chemometrics and Quantum Computing with Jupyter
Big Data and Hadoop Fundamentals, tools, and techniques for data-driven success - 2nd Edition
Data-Centric Security in Software Defined Networks (SDN) (Studies in Big Data, 149)
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
Data Science From Scratch From Data Visualization To Manipulation. It Is The Easy Way! All You Need For Business Using The Basic Principles Of Python And Beyond
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
Apache Iceberg The Definitive Guide Data Lakehouse Functionality, Performance, and Scalability on the Data Lake
Apache Iceberg: The Definitive Guide: Data Lakehouse Functionality, Performance, and Scalability on the Data Lake
Web Data APIs for Knowledge Graphs Easing Access to Semantic Data for Application Developers
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)
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
Handbook of Research on Big Data and the IoT (Advances in Data Mining and Database Management (ADMDM))
Core Data for iOS Developing Data-Driven Applications for the iPad, iPhone, and iPod touch
Big Data and Hadoop: Fundamentals, tools, and techniques for data-driven success - 2nd Edition
Python for Data Analysis: Unlocking Insights and Driving Innovation with Powerful Data Techniques. 2 in 1 Guide
Practical Data Science with SAP Machine Learning Techniques for Enterprise Data, Early Release
Data Analytics for Pandemics A COVID-19 Case Study (Intelligent Signal Processing and Data Analysis)
Computer Science in Sport Modeling, Simulation, Data Analysis and Visualization of Sports-Related Data
Programming Skills for Data Science Start Writing Code to Wrangle, Analyze, and Visualize Data with R
Python for Data Analysis Unlocking Insights and Driving Innovation with Powerful Data Techniques. 2 in 1 Guide
Data Driven Harnessing Data and AI to Reinvent Customer Engagement
Data Fusion and Data Mining for Power System Monitoring
Sharing Big Data Safely Managing Data Security
Data Analytics for Organisational Development: Unleashing the Potential of Your Data
Data Action Using Data for Public Good (The MIT Press)
Critical Data Literacies Rethinking Data and Everyday Life
Data Just Right Introduction to Large-Scale Data & Analytics
Azure Data Factory by Example: Practical Implementation for Data Engineers
The Data Journalism Handbook: How Journalists Can Use Data to Improve the News