Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis. You will learn how to use Spark for different types of big data analytics projects, including batch, interactive, graph, and stream data analysis as well as machine learning. In addition, this book will help you become a much sought-after Spark expert.
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2025-10-08 (first published: 2023-06-19)
5,371 reads
Business Intelligence (BI) tools like Power BI are used by a wide range of professionals, creating diverse and complex scenarios, and finding the right solution can be daunting, especially when multiple approaches exist for a single use case. The author distills his 17 years of experience on various data platform technologies in this book to walk you through various Power BI usage scenarios.
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2025-10-06 (first published: 2025-05-27)
2,119 reads
Build efficient and scalable batch and real-time data ingestion pipelines, DevOps continuous integration and deployment pipelines, and advanced analytics solutions on the Azure Data Platform. This book teaches you to design and implement robust data engineering solutions using Data Factory, Databricks, Synapse Analytics, Snowflake, Azure SQL database, Stream Analytics, Cosmos database, and Data Lake Storage Gen2.
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2025-10-03 (first published: 2023-07-13)
10,425 reads
A step-by-step guide to harness the power of Microsoft Fabric in developing data analytics solutions for various use cases
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2025-10-01 (first published: 2024-11-25)
9,600 reads
Bring your data to life with this accessible yet fast-paced introduction to Power BI, now in color.
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2025-09-29 (first published: 2023-06-19)
11,463 reads
Refactoring has proven its value in a wide range of development projects–helping software professionals improve system designs, maintainability, extensibility, and performance.
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2025-09-26 (first published: 2024-09-18)
4,625 reads
In this newly updated and expanded edition of the bestselling The Phoenix Project, co-author Gene Kim includes a new afterword and a deeper delve into the Three Ways as described in The DevOps Handbook.
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2025-09-24 (first published: 2024-02-20)
2,787 reads
Adoption and use of PostgreSQL is growing all the time. From mom-and-pop shops to large enterprises, more data is being managed by PostgreSQL. In turn, this means that more data professionals need to learn PostgreSQL even when they have experience with other databases. While the documentation around PostgreSQL is detailed and technically rich, finding a simple, clear path to learning what it is, what it does, and how to use it can be challenging. This book seeks to help with that challenge.
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2025-09-22 (first published: 2025-02-06)
2,746 reads
Troubleshoot query performance issues, identify anti-patterns in your code, and write efficient T-SQL queries with this guide for T-SQL developers
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2025-09-22 (first published: 2024-02-29)
2,610 reads
Now expanded and updated with modern best practices, this is the most complete guide to Microsoft’s DAX language for business intelligence, data modeling, and analytics. Expert Microsoft BI consultants Marco Russo and Alberto Ferrari help you master everything from table functions through advanced code and model optimization.
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- Kindle book:
2025-09-22 (first published: 2024-09-18)
2,439 reads
