Tag: Platforms

Architecting Data and Machine Learning Platforms (Third Early Release)


Free Download Architecting Data and Machine Learning Platforms (Third Early Release)
English | 2023 | ISBN: 9781098151614 | 376 pages | PDF | 7.31 Mb
All cloud architects need to know how to build data platforms-the key to enabling businesses with data and delivering enterprise-wide intelligence in a fast and efficient way. This handbook is ideal for learning how to design, build, and modernize cloud native data and machine learning platforms using AWS, Azure, Google Cloud, or multicloud tools like Fivetran, dbt, Snowflake, and Databricks.

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Cloud Native Application Protection Platforms A Guide to CNAPPs and the Foundations of Comprehensive Cloud Security


Free Download Cloud Native Application Protection Platforms: A Guide to CNAPPs and the Foundations of Comprehensive Cloud Security by Russ Miles, Stephen Giguere, Taylor Smith
English | October 22nd, 2024 | ISBN: 1098141709 | 204 pages | True EPUB | 10.01 MB
Cloud native security isn’t a game for individual players. It requires team collaboration with a platform that can help cloud security engineers, developers, and operations people do their best work. That’s what the cloud native application protection platform (CNAPP) delivers. With this practical guide, you’ll learn how CNAPPs can help you consolidate security through DevSecOps across cloud native technologies, practices, and application lifecycles.

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Data Platforms – Spark to Snowflake


Free Download Data Platforms – Spark to Snowflake
Released 9/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Beginner | Genre: eLearning | Language: English + srt | Duration: 54m | Size: 96 MB
Explore the expansive realm of big data in this course from industry leader Pragmatic AI Labs. Instructor Kennedy Behrman covers the essentials of big data processing on key platforms like Apache Hadoop, Apache Spark, and Snowflake. Throughout the course, learn how to work with resilient distributed datasets (RDDs) and leverage Spark SQL for managing dataframes. Delve into Snowflake to understand its unique architecture, navigate its web UI, and utilize its Python connector for data manipulation. Along the way, engaging demos provide opportunities for you to get hands-on experience with each platform, ensuring you not only grasp the theoretical concepts but also how to apply them in practical scenarios. Whether you’re a data scientist, a data analyst, an IT professional, or simply eager to learn more about big data, this course offers valuable insights and skills on some of the most cutting-edge data management technologies available today.

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Streaming Analytics Concepts, architectures, platforms, use cases and applications


Free Download Pethuru Raj, Chellammal Surianarayanan, Koteeswaran Seerangan, "Streaming Analytics: Concepts, architectures, platforms, use cases and applications"
English | 2022 | ISBN: 1839534168 | PDF | pages: 468 | 45.1 mb
When digitized entities, connected devices and microservices interact purposefully, we end up with a massive amount of multi-structured streaming (real-time) data that is continuously generated by different sources at high speed. Streaming analytics allows the management, monitoring, and real-time analytics of live streaming data. The topic has grown in importance due to the emergence of online analytics and edge and IoT platforms. A real digital transformation is being achieved across industry verticals through meticulous data collection, cleansing and crunching in real time. Capturing and subjecting those value-adding events is considered to be the prime task for achieving trustworthy and timely insights.

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Enacting Platforms Feminist Technoscience and the Unreal Engine (Platform Studies)


Free Download Enacting Platforms: Feminist Technoscience and the Unreal Engine (Platform Studies) by James Malazita
English | July 2nd, 2024 | ISBN: 0262548240 | 244 pages | True EPUB | 9.73 MB
An analysis of the game engine Unreal through feminist, race, and queer theories of technology and media, as well as a critique of the platform studies framework itself.

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The Power of Product Platforms


Free Download The Power of Product Platforms By Marc H. Meyer, Alvin P. Lehnerd
2011 | 288 Pages | ISBN: 1451655304 | EPUB | 8 MB
Most companies know that long-term success does not hinge on any single product but on a continuous stream of value-rich products that target growth markets. Yet many firms inexplicably develop one product at a time, and by doing so fail to embrace commonality, compatibility, standardization, or modularization among different products and product lines. At last, in this timely book, Marc H. Meyer and Alvin P. Lehnerd provide a formula for turning products into profits, enabling companies to design technologically superior products more easily. Their solution is, in two words, PRODUCT PLATFORMS. They argue that firms must focus their energies on developing families of products simultaneously which share common components and technology.The authors describe how the champions of product development separate themselves from less sophisticated companies by building entire families of strong products from a single "platform" of common product structures, technologies, and automated product processes. These successful companies recognize and respond to new market opportunities by integrating core skills and technology in the form of new products. In this easy-to-read and practical book, the authors masterfully elucidate this dynamic and forward-thinking strategy which enables companies to develop innovative products faster, more cheaply, and with less effort.Drawing on in-depth case studies and personal experience with successful companies such as Hewlett-Packard, EMC, Black & Decker, and Boeing, Meyer and Lehnerd show managers how to create extraordinary products and thereby set the standard for combined value and cost leadership in their products. They argue that when a company’s products are robust-highly functional, elegant in their design, reasonably priced, and a pleasure to use-the corporation will be equally robust. More importantly, The Power of Product Platforms reveals the methodology and organizational approach for designing, developing, and revitalizing strong products that enable the firm to make the transition from one generation of technology to the next. The authors also explain how well-designed product platforms can generate streams of derivative products through a continuous systematic process of renewal.Meyer and Lehnerd apply this methodology to a broad range of industries; manufacturing in both consumer and industrial markets, software firms, and Internet information services providers.This clear prescription for transforming the bottom line by aggressively managing product development and innovation will become required reading for large and small corporations alike, including entrepreneurs, all of whom depend on the excellence of their new products for growth.

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Embedded Artificial Intelligence Principles, Platforms and Practices


Free Download Embedded Artificial Intelligence: Principles, Platforms and Practices by Bin Li
English | PDF EPUB (True) | 2024 | 262 Pages | ISBN : 9819750377 | 43.6 MB
This book focuses on the emerging topic of embedded artificial intelligence and provides a systematic summary of its principles, platforms, and practices. In the section on principles, it analyzes three main approaches for implementing embedded artificial intelligence: cloud computing mode, local mode, and local-cloud collaborative mode. The book identifies five essential components for implementing embedded artificial intelligence: embedded AI accelerator chips, lightweight neural network algorithms, model compression techniques, compiler optimization techniques, and multi-level cascaded application frameworks. The platform section introduces mainstream embedded AI accelerator chips and software frameworks currently used in the industry. The practical part outlines the development process of embedded artificial intelligence and showcases real-world application examples with accompanying code.

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