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 English | 2022 | ISBN: 1098118952 | 462 pages | True PDF EPUB | 28.63 MB Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using Google Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline with cloud native tools on GCP.  English | 2022 | ISBN: 0192847260, 978-0192847270 | 273 pages | True PDF | 19.9 MB Data science ethics is all about what is right and wrong when conducting data science. Data science has so far been primarily used for positive outcomes for businesses and society. However, just as with any technology, data science has also come with some negative consequences: an increase of  English | 2022 | ISBN: 0323851193 | 104 pages | True pdf, epub | 14.59 MB Data Prefetching Techniques in Computer Systems, Volume 125 provides an in-depth review of the latest progress on data prefetching research. Topics covered in this volume include temporal prefetchers, spatial prefetchers, non-spatial-temporal prefetchers, and evaluation of prefetchers, with insights on possible future research direction. Specific chapters in this release include Introduction to Data Prefetching, Spatial Prefetching Techniques, Temporal Prefetching Techniques, Domino prefetching scheme, Bingo prefetching method, and The Champion prefetcher.  English | 2022 | ISBN: 1633439976, 978-1633439979 | 309 pages | True PDF | 13.52 MB Revolutionize the way your organization approaches data with a data mesh! This new decentralized architecture outpaces monolithic lakes and warehouses and can work for a company of any size.  English | 2022 | ISBN: 1492092398 | 387 pages | True PDF | 52.9 MB We're at an inflection point in data, where our data management solutions no longer match the complexity of organizations, the proliferation of data sources, and the scope of our aspirations to get value from data with AI and analytics. In this practical book, author Zhamak Dehghani introduces data mesh, a decentralized sociotechnical paradigm drawn from modern distributed architecture that provides a new approach to sourcing, sharing, accessing, and managing analytical data at scale.  English | 2022 | ISBN: 366265170X | 167 pages | pdf, epub | 9.59 MB Professional data management is the foundation for the successful digital transformation of traditional companies. Unfortunately, many companies fail to implement data governance because they do not fully understand the complexity of the challenge (organizational structure, employee empowerment, change management, etc.) and therefore do not include all aspects in the planning and implementation of their data governance.  English | 2022 | ISBN: 1803247738| 325 pages | True PDF EPUB | 30.56 MB Perform time series forecasts, linear prediction, and data segmentation with no-code Excel machine learning  English | 2021 | ISBN: 1802203109, 978-1802203103 | 203 pages | True PDF | 2.47 MB Data Ethics of Power takes a reflective and fresh look at the ethical implications of transforming everyday life and the world through the effortless, costless, and seamless accumulation of extra layers of data. By shedding light on the constant tensions that exist between ethical principles and the interests invested in this socio-technical transformation, the book bridges the theory and practice divide in the study of the power dynamics that underpin these processes of the digitalization of the world.  English | 2022 | ISBN: 1800568428 | 576 pages | True PDF EPUB | 77.25 MB Overcome data challenges at record speed and cloud-scale that optimize businesses by transforming raw data into dashboards and apps which democratize data consumption, supercharging results with the cloud-based solution, Domo  English | 2022 | ISBN: 1492082384 | 435 pages | EPUB | 4.47 MB Apache Spark's speed, ease of use, sophisticated analytics, and multilanguage support makes practical knowledge of this cluster-computing framework a required skill for data engineers and data scientists. With this hands-on guide, anyone looking for an introduction to Spark will learn practical algorithms and examples using PySpark. |
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