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  3. Data Modeling

Business Intelligence with Looker Cookbook

Posted By: First1
Date: 13 May 2024 20:31:19
Business Intelligence with Looker Cookbook

Business Intelligence with Looker Cookbook: Create BI Solutions and Data Applications to Explore and Share Insights in Real Time by Khrystyna Grynko
English | May 24th, 2024 | ISBN: 1800560958 | 257 pages | True PDF | 25.41 MB

Use Looker for visualizing data, data analysis, and reporting, and learn how to connect to your data, build dashboards and reports, and share insights with your team
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Apache Iceberg: The Definitive Guide: Data Lakehouse Functionality, Performance, and Scalability on the Data Lake

Posted By: First1
Date: 9 May 2024 15:34:33
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.
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Machine Learning Infrastructure and Best Practices for Software Engineers

Posted By: First1
Date: 4 May 2024 03:44:33
Machine Learning Infrastructure and Best Practices for Software Engineers

Machine Learning Infrastructure and Best Practices for Software Engineers: Take your machine learning software from a prototype to a fully fledged software system by Miroslaw Staron
English | January 31st, 2024 | ISBN: 1837634068 | 346 pages | True EPUB (Retail Copy) | 9.49 MB

Efficiently transform your initial designs into big systems by learning the foundations of infrastructure, algorithms, and ethical considerations for modern software products
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Active Machine Learning with Python: Refine and elevate data quality over quantity with active learning

Posted By: First1
Date: 4 May 2024 03:33:19
Active Machine Learning with Python: Refine and elevate data quality over quantity with active learning

Active Machine Learning with Python: Refine and elevate data quality over quantity with active learning by Margaux Masson-Forsythe
English | March 29th, 2024 | ISBN: 1835464947 | 176 pages | True EPUB (Retail Copy) | 6.35 MB

Use active machine learning with Python to improve the accuracy of predictive models, streamline the data analysis process, and adapt to evolving data trends, fostering innovation and progress across diverse fields
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Power BI : Modéliser des données avec DAX

Posted By: IrGens
Date: 14 Apr 2024 21:04:45
Power BI : Modéliser des données avec DAX

Power BI : Modéliser des données avec DAX
.MP4, AVC, 1280x720, 30 fps | Français, AAC, 2 Ch | 1h 14m | 179 MB
Instructeur: Alison Patou
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Complete Guide to R: Wrangling, Visualizing, and Modeling Data

Posted By: IrGens
Date: 15 Mar 2024 18:01:41
Complete Guide to R: Wrangling, Visualizing, and Modeling Data

Complete Guide to R: Wrangling, Visualizing, and Modeling Data
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 8h 15m | 1.35 GB
Instructor: Barton Poulson
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Mastering Data Modeling: From Concept to Implementation

Posted By: lucky_aut
Date: 15 Mar 2024 05:33:11
Mastering Data Modeling: From Concept to Implementation

Mastering Data Modeling: From Concept to Implementation
Published 3/2024
Duration: 4h5m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.27 GB
Genre: eLearning | Language: English

Data modeling fundamentals | Normalization | Design Stages | Tool overview | Best Practices | Real life Project
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Data Modeling and Design Essentials

Posted By: eBookRat
Date: 7 Mar 2024 16:05:50
Data Modeling and Design Essentials

Data Modeling and Design Essentials: A Beginner's Guide
by Sam Campbell
English | March 5, 2024 | ASIN: B0CW1FG7XK | 91 pages | PNG (.rar) | 28 Mb
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Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh

Posted By: First1
Date: 24 Feb 2024 16:14:49
Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh

Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh by James Serra
English | March 19th, 2024 | ISBN: 1098150767 | 278 pages | True PDF | 6.73 MB

Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new architectures have solid benefits, but they're also surrounded by a lot of hyperbole and confusion. This practical book provides a guided tour of each architecture to help data professionals understand its pros and cons.
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The Art of Randomness: Randomized Algorithms in the Real World

Posted By: First1
Date: 24 Feb 2024 16:04:30
The Art of Randomness: Randomized Algorithms in the Real World

The Art of Randomness: Randomized Algorithms in the Real World by Ronald T. Kneusel
English | March 5th, 2024 | ISBN: 1718503245 | 400 pages | True EPUB (Retail Copy) | 27.37 MB

Harness the power of randomness (and Python code) to solve real-world problems in fun, hands-on experiments—from simulating evolution to encrypting messages to making machine-learning algorithms!
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Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh

Posted By: First1
Date: 15 Feb 2024 14:41:11
Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh

Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh by James Serra
English | March 19th, 2024 | ISBN: 1098150767 | 225 pages | True EPUB | 6.35 MB

Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new architectures have solid benefits, but they're also surrounded by a lot of hyperbole and confusion. This practical book provides a guided tour of each architecture to help data professionals understand its pros and cons.
Details

Data Science Methodologies: Making Business Sense [Repost]

Posted By: IrGens
Date: 13 Jan 2024 20:15:29
Data Science Methodologies: Making Business Sense [Repost]

Data Science Methodologies: Making Business Sense
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 49m | 256 MB
Instructor: Neelam Dwivedi
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Data Modeling with Microsoft Excel: Model and analyze data using Power Pivot, DAX and Cube Functions

Posted By: yoyoloit
Date: 30 Nov 2023 17:38:04
Data Modeling with Microsoft Excel: Model and analyze data using Power Pivot, DAX and Cube Functions

Data Modeling with Microsoft Excel
by Bernard Obeng Boateng
English | 2023 | ISBN: 1803240288 | 316 pages | True PDF EPUB | 93.2 MB
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Alteryx Designer: The Definitive Guide: Simplify and Automate Your Analytics

Posted By: First1
Date: 24 Nov 2023 15:20:07
Alteryx Designer: The Definitive Guide: Simplify and Automate Your Analytics

Alteryx Designer: The Definitive Guide: Simplify and Automate Your Analytics by Joshua Burkhow
English | December 19th, 2023 | ISBN: 1098107527 | 526 pages | True EPUB | 44.89 MB

Analytics projects are frequently long, drawn-out affairs, requiring multiple teams and skills to clean, join, and eventually turn data into analysis for timely decision-making. Alteryx Designer changes all of that. With this low-code, self-service, drag-and-drop workflow platform, new and experienced data and business analysts can deliver results in hours instead of weeks.
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The Cloud Data Lake: A Guide to Building Robust Cloud Data Architecture

Posted By: First1
Date: 19 Nov 2023 04:10:29
The Cloud Data Lake: A Guide to Building Robust Cloud Data Architecture

The Cloud Data Lake: A Guide to Building Robust Cloud Data Architecture by Rukmani Gopalan
English | January 17th, 2023 | ISBN: 1098116585 | 244 pages | True EPUB | 8.04 MB

More organizations than ever understand the importance of data lake architectures for deriving value from their data. Building a robust, scalable, and performant data lake remains a complex proposition, however, with a buffet of tools and options that need to work together to provide a seamless end-to-end pipeline from data to insights.
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