Tag: Data

Data Modeling with Microsoft Power BI Self-Service and Enterprise Data Warehouses with Power BI


Free Download Data Modeling with Microsoft Power BI: Self-Service and Enterprise Data Warehouses with Power BI by Markus Ehrenmueller-Jensen
English | July 16th, 2024 | ISBN: 109814855X | 485 pages | True PDF | 15.54 MB
Data modeling is the single most overlooked feature in Power BI Desktop, yet it’s what sets Power BI apart from other tools on the market. This practical book serves as your fast-forward button for data modeling with Power BI, Analysis Services tabular, and SQL databases. It serves as a starting point for data modeling, as well as a handy refresher.

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Data Modeling with Microsoft Power BI Self-Service and Enterprise Data Warehouse with Power BI


Free Download Data Modeling with Microsoft Power BI: Self-Service and Enterprise Data Warehouse with Power BI by Markus Ehrenmueller-Jensen
English | July 16th, 2024 | ISBN: 109814855X | 482 pages | True EPUB (Retail Copy) | 12.77 MB
Data modeling is the single most overlooked feature in Power BI Desktop, yet it’s what sets Power BI apart from other tools on the market. This practical book serves as your fast-forward button for data modeling with Power BI, Analysis Services tabular, and SQL databases. It serves as a starting point for data modeling, as well as a handy refresher.

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Data Labeling in Machine Learning with Python Explore modern ways to prepare labeled data


Free Download Data Labeling in Machine Learning with Python: Explore modern ways to prepare labeled data for training and fine-tuning ML and generative AI models by Vijaya Kumar Suda
English | January 31, 2024 | ISBN: 1804610542 | 398 pages | PDF | 37 Mb
Take your data preparation, machine learning, and GenAI skills to the next level by learning a range of Python algorithms and tools for data labelingKey FeaturesGenerate labels for regression in scenarios with limited training dataApply generative AI and large language models (LLMs) to explore and label text dataLeverage Python libraries for image, video, and audio data analysis and data labelingPurchase of the print or Kindle book includes a free PDF eBookBook Description

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Data Integration The Relational Logic Approach


Free Download Michael Genesereth, "Data Integration: The Relational Logic Approach "
English | ISBN: 3031004221 | 2010 | 112 pages | PDF | 2 MB
Data integration is a critical problem in our increasingly interconnected but inevitably heterogeneous world. There are numerous data sources available in organizational databases and on public information systems like the World Wide Web. Not surprisingly, the sources often use different vocabularies and different data structures, being created, as they are, by different people, at different times, for different purposes. The goal of data integration is to provide programmatic and human users with integrated access to multiple, heterogeneous data sources, giving each user the illusion of a single, homogeneous database designed for his or her specific need. The good news is that, in many cases, the data integration process can be automated. This book is an introduction to the problem of data integration and a rigorous account of one of the leading approaches to solving this problem, viz., the relational logic approach. Relational logic provides a theoretical framework for discussing data integration. Moreover, in many important cases, it provides algorithms for solving the problem in a computationally practical way. In many respects, relational logic does for data integration what relational algebra did for database theory several decades ago. A companion web site provides interactive demonstrations of the algorithms. Table of Contents: Preface / Interactive Edition / Introduction / Basic Concepts / Query Folding / Query Planning / Master Schema Management / Appendix / References / Index / Author Biography Don’t have access? Recommend our Synthesis Digital Library to your library or purchase a personal subscription. Email [email protected] for details.

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Data Engineering with Scala and Spark A practical guide helping you build streaming and batch pipelines that process


Free Download Data Engineering with Scala and Spark: A practical guide helping you build streaming and batch pipelines that process massive amounts of data using Scala by Eric Tome, David Radford, Rupam Bhattacharjee
English | February 9, 2024 | ISBN: 1804612588 | 323 pages | EPUB | 7.96 Mb
Take your data engineering skills to the next level by learning to utilize Scala and functional programming to create continuous and scheduled pipelines that ingest, transform, and aggregate data

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Data Engineering with Google Cloud Platform


Free Download Data Engineering with Google Cloud Platform: A guide to leveling up as a data engineer by building a scalable data platform with Google Cloud by Adi Wijaya
English | April 30, 2024 | ISBN: 1835080111 | 478 pages | PDF | 45 Mb
Become a successful data engineer by building and deploying your own data pipelines on Google Cloud, including making key architectural decisions

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Data Engineering Design Patterns (Early Release)


Free Download Data Engineering Design Patterns (Early Release)
English | 2024 | ISBN: 9781098165826 | 300 pages | EPUB | 2.16 Mb
Data projects are an intrinsic part of an organization’s technical ecosystem, but data engineers in many companies are still trying to solve problems that others have already solved. This hands-on guide shows you how to provide valuable data by focusing on various aspects of data engineering, including data ingestion, data quality, idempotency, and more.

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Data Curious (Third Early Release)


Free Download Data Curious (Third Early Release)
English | 2023 | ISBN: 9781098143824 | 194 pages | PDF | 4.20 Mb
Citizen data analysts are emerging to fill in the gaps left by traditional and slow business intelligence processes. Business functions such as finance, supply chain, and sales are now leading new data/analytics initiatives rather than partnering with centralized IT or analytics teams. But there is a knowledge gap-these new "citizen data analysts" understand their area of business, but unlike their IT counterparts, they do not have a background in data processing technology.

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Data Analytics with Spark Using Python


Free Download Data Analytics with Spark Using Python (Addison-Wesley Data & Analytics Series) by Jeffrey Aven
English | June 6, 2018 | ISBN: 013484601X | True EPUB | 320 pages | 25.8 MB
Solve Data Analytics Problems with Spark, PySpark, and Related Open Source Tools

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