WOW! eBook

Category: Databases & Big Data

In-Memory Analytics with Apache Arrow, 2nd Edition 0

Computer Science & Computer Engineering / Databases & Big Data

In-Memory Analytics with Apache Arrow, 2nd Edition

eBook Details: Paperback: 406 pages Publisher: WOW! eBook; 2nd edition (September 30, 2024) Language: English ISBN-10: 1835461220 ISBN-13: 978-1835461228 eBook Description: In-Memory Analytics with Apache Arrow, 2nd Edition: Accelerate data analytics for efficient processing of flat and hierarchical data structures. Harness the power of Apache Arrow to optimize tabular data processing and develop robust, high-performance data systems with its standardized, language-independent columnar memory format. Apache Arrow is an open source, columnar in-memory data format designed for efficient data processing and analytics. This In-Memory Analytics with Apache Arrow, 2nd Edition book harnesses the author’s 15 years of experience to show you a...

ScyllaDB in Action 0

Databases & Big Data

ScyllaDB in Action

eBook Details: Paperback: 392 pages Publisher: WOW! eBook (October 29, 2024) Language: English ISBN-10: 1633437264 ISBN-13: 978-1633437265 eBook Description: ScyllaDB in Action: Build, maintain, and run databases that are easy to scale and quick to query all with ScyllaDB. ScyllaDB in Action is your guide to everything you need to know about ScyllaDB, from your very first queries to running it in a production environment. It starts you with the basics of creating, reading, and deleting data and expands your knowledge from there. You’ll soon have mastered everything you need to build, maintain, and run an effective and efficient database. Inside ScyllaDB...

Data Engineering for Machine Learning Pipelines: From Python Libraries to ML Pipelines and Cloud Platforms 0

Cloud Computing / Computer Science & Computer Engineering / Databases & Big Data / Programming

Data Engineering for Machine Learning Pipelines

eBook Details: Paperback: 661 pages Publisher: WOW! eBook (September 28, 2024) Language: English ISBN-10: 8868806018 ISBN-13: 978-8868806018 eBook Description: Data Engineering for Machine Learning Pipelines: From Python Libraries to ML Pipelines and Cloud Platforms This Data Engineering for Machine Learning Pipelines book covers modern data engineering functions and important Python libraries, to help you develop state-of-the-art ML pipelines and integration code. The book begins by explaining data analytics and transformation, delving into the Pandas library, its capabilities, and nuances. It then explores emerging libraries such as Polars and CuDF, providing insights into GPU-based computing and cutting-edge data manipulation techniques. The text discusses the...

Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib, 3rd Edition 0

Computer Science & Computer Engineering / Databases & Big Data / Programming

Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib, 3rd Edition

eBook Details: Paperback: 512 pages Publisher: WOW! eBook (September 28, 2024) Language: English ISBN-10: 8868804120 ISBN-13: 978-8868804120 eBook Description: Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib, 3rd Edition Learn how to leverage the scientific computing and data analysis capabilities of Python, its standard library, and popular open-source numerical Python packages like NumPy, SymPy, SciPy, matplotlib, and more. This Numerical Python, 3rd Edition book demonstrates how to work with mathematical modeling and solve problems with numerical, symbolic, and visualization techniques. It explores applications in science, engineering, data analytics, and more. Numerical Python: Scientific Computing and Data Science...

Unlocking Data with Generative AI and RAG 0

Computer Science & Computer Engineering / Databases & Big Data

Unlocking Data with Generative AI and RAG

eBook Details: Paperback: 346 pages Publisher: WOW! eBook (September 27, 2024) Language: English ISBN-10: 1835887910 ISBN-13: 978-1835887905 eBook Description: Unlocking Data with Generative AI and RAG: Enhance generative AI systems by integrating internal data with large language models using RAG. Leverage cutting-edge generative AI techniques such as RAG to realize the potential of your data and drive innovation as well as gain strategic advantage. Generative AI is helping organizations tap into their data in new ways, with retrieval-augmented generation (RAG) combining the strengths of large language models (LLMs) with internal data for more intelligent and relevant AI applications. The author harnesses his decade...