Data Drift

Data Drift (2025)  Games

Posted by silva1410 at May 11, 2025
Data Drift (2025)

Data Drift (2025)
PC Game | Developer: Napoterulle | Publisher: Napoterulle | 9.5 GB
Languages: English, Multilanguage
Genre: Action, Adventure, Indie | Release Date: 6 May, 2025

Fight through a neon cyberpunk city in this fast-paced top-down action game! Hack, upgrade, and battle high-tech enemies with a stylish cartoon look and an electrifying synthwave soundtrack.
Knowledge Engineering and Knowledge Management: EKAW 2016 Satellite Events, EKM and Drift-an-LOD, Bologna, Italy

Knowledge Engineering and Knowledge Management: EKAW 2016 Satellite Events, EKM and Drift-an-LOD, Bologna, Italy, November 19–23, 2016, Revised Selected Papers by Paolo Ciancarini
English | 2017 | ISBN: 3319586939, 9783319586939 | 288 Pages | PDF | 23.05 MB
Principles of Data Science: A beginner's guide to essential math and coding skills for data fluency and machine learning, 3rd E

Principles of Data Science
by Sinan Ozdemir

English | 2024 | ISBN: 1837636303 | 326 pages | True/Retail PDF EPUB | 38.48 MB
Principles of Data Science: A beginner's guide to essential math and coding skills for data fluency and machine learning

Principles of Data Science: A beginner's guide to essential math and coding skills for data fluency and machine learning
English | January 31, 2024 | ASIN: B0CN38N125 | 526 pages | EPUB (True) | 8.85 MB

Principles of Data Science - Third Edition  eBooks & eLearning

Posted by Free butterfly at May 5, 2024
Principles of Data Science - Third Edition

Principles of Data Science - Third Edition: A beginner's guide to essential math and coding skills for data fluency and machine learning by Sinan Ozdemir
English | January 31, 2024 | ISBN: 1837636303 | 326 pages | EPUB | 13 Mb
Principles of Data Science - Third Edition: A beginner's guide to essential math and coding skills for data fluency

Principles of Data Science - Third Edition: A beginner's guide to essential math and coding skills for data fluency and machine learning by Sinan Ozdemir
English | January 31, 2024 | ISBN: 1837636303 | 326 pages | EPUB | 8.77 Mb
Principles of Data Science: A beginner's guide to essential math and coding skills for data fluency and machine learning

Principles of Data Science: A beginner's guide to essential math and coding skills for data fluency and machine learning by Sinan Ozdemir
English | January 31, 2024 | ISBN: 1837636303 | 326 pages | PDF | 29 Mb
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 by Tomer Shiran, Jason Hughes, Alex Merced
English | June 11th, 2024 | ISBN: 1098148622 | 341 pages | True EPUB | 5.58 MB

Traditional data architecture patterns are severely limited. To use these patterns, you have to ETL data into each tool—a cost-prohibitive process for making warehouse features available to all of your data. The lack of flexibility with these patterns requires you to lock into a set of priority tools and formats, which creates data silos and data drift. This practical book shows you a better way.
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 by Tomer Shiran, Jason Hughes, Alex Merced
English | June 11, 2024 | ISBN: 1098148622 | 341 pages | MOBI | 3.19 Mb
Apache Iceberg: The Definitive Guide: Data Lakehouse Functionality, Performance, and Scalability on the Data Lake

Apache Iceberg: The Definitive Guide by Tomer Shiran, Jason Hughes, Alex Merced
English | June 11th, 2024 | ISBN: 1098148622 | 344 pages | True PDF | 5.23 MB

Traditional data architecture patterns are severely limited. To use these patterns, you have to ETL data into each tool—a cost-prohibitive process for making warehouse features available to all of your data. The lack of flexibility with these patterns requires you to lock into a set of priority tools and formats, which creates data silos and data drift. This practical book shows you a better way.