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Cyprus : The Post-Imperial Constitution By Vassilis K. Fouskas; Alex O. Tackie
2009 | 129 Pages | ISBN: 0745329357 | PDF | 1 MB
This book provides a non-partisan approach to Cyprus that goes beyond the perceptions of ruling elites on the island and their NATO masters, which are historically responsible for the division of Cyprus today. Fouskas and Tackie argue that the rise to power of two left-wing parties on both sides of the Green Line means it is time to launch a serious political dialogue to initiate a post-imperial constitutional process. This is a feasible undertaking, not least because Cyprus is a member of the EU, but not a member of NATO. Short and accessible, this book aims to revive a debate in the spirit of Dervis Ali Kavatzoglou and Constantine Misiaoulis, popular symbols of a united, democratic and independent Cyprus.
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Dad, What's for Dinner?: Lifesaving Recipes to Avoid Meltdowns, Have Fun in the Kitchen, and Keep Your Kids Well Fed: A Cookbook by David Nayfeld, Joshua David Stein
English | May 27th, 2025 | ISBN: 0593537521 | 320 pages | True EPUB | 128.98 MB
The dad's guide to getting dinner on the table; more than 80 unfussy, uncompromising recipes for weeknights and beyond. With a foreword byGwyneth Paltrow.
I am a professional chef. I've spent twenty-seven of my forty years in some of the best kitchens in the world. . . . And still, when my daughter, Helena, asks, "Dad, what's for dinner?" it gets me every time.
This is a book for dads (and moms, and grandparents, and caregivers, and anyone else who needs to get dinner on the table without cooking the same old thing again). It's a book that believes "kids' food" can, and should, mean more than just buttered noodles or chicken fingers. In its pages, chef David Nayfeld translate his decades of professional expertise into something that all parents can use to become more confident and creative in the kitchen, and better able to care for their toughest customers-their kids.
The result is a collection of more than eighty hearty, good-for-you recipes the whole family will love, from Italian Sausage and Broccolini Lasagna to The Best Fricking Meatloaf in the World; from Tomato and Bread Salad (it still counts as a salad!) to Cuppycakes with Vanilla Buttercream Frosting.
Nayfeld's goal is to empower home cooks, giving them the tools, strategies (the wonders of batch-cooking!), and recipes to break a reliance on frozen foods and takeout. It's a book that helps to bring families together at the dinner table and to raise more adventurous eaters. And, most of all, it's a book that answers the all-important question: Dad, what's for dinner? (or lunch, or breakfast, or . . .)
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Daily Life in Classical Athens: A Socioeconomic Analysis (Frontiers in Economic History) by Emmanouil M.L. Economou, Nicholas C. Kyriazis
English | August 3, 2024 | ISBN: 3031585402 | 391 pages | MOBI | 8.34 Mb
This book presents the economic heartbeat and institutional details that shaped Athenian society during the Classical period (508-323 BCE), employing an innovative and outside-the-box approach to studying history. It answers questions about societal structure, the roles of women, foreigners, and slaves, the transformation of their economy from agrarian to maritime, and commercially-oriented. 28 short fictional stories enliven the narrative, each accompanied by rigorous academic analysis - revealing how banking, insurance, and the Athenian drachma, the internationally accepted currency of the times, shaped their world.
Exploring the symbiotic relationship between democracy and economic evolution, the book examines the sophisticated economic institutions of ancient Athens -ranging from property rights protection to market-driven price determination, anti-profiteering measures, measures to protect the Athenian currency's trustworthiness from forgery, business and labor mentality and practices, international trade patterns, as well as the existence of a robust public sector related also to the provision of a series of public goods. In a comprehensive analysis, the book scrutinizes daily life, societal structures, and customs, addressing a variety of questions such as marriage, cuisine, attire, values, and entertainment.
Employing New Institutional Economics as a methodology, the book puts together historical evidence with institutional analysis, offering an interdisciplinary lens through economics, political science, strategy, and behavioral theory. Richly supported by ancient sources, inscriptions, and a vast modern bibliography, this work not only explains ancient Athens but also proposes its socioeconomic pattern as a guide for modern societal challenges in economic governance and democracy.
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Danes and Icelanders in Michigan By Howard L. Nicholson; Anders J. Gillis; Russell M. Magnaghi
2013 | 106 Pages | ISBN: 1611860946 | PDF | 1 MB
Immigration of Danes and Icelanders to Michigan began in the 1850s and continued well into the twentieth century. Beginning with their origins, this book takes a detailed look at their arrival and settlement in Michigan, answering some key questions: What brought Danes and Icelanders to Michigan? What challenges did they face? How did they adjust and survive here? Where did they settle? What kind of lasting impact have they had on Michigan's economic and cultural landscape? Extensively researched, this book examines the public and private lives of Danish and Icelandic immigrants in Michigan, drawing from both individual and institutional histories. Shedding new light on the livelihood, traditions, religion, social life, civic organizations, and mutual benefit societies, this thorough, insightful book highlights a small but important population within Michigan's borders.
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William Franke, "Dantologies "
English | ISBN: 1032526556 | 2023 | 288 pages | PDF | 5 MB
This book comprises a searching philosophical meditation on the evolution of the humanities in recent decades, taking Dante studies as an exemplary specimen. The contemporary currents of theory have decisively impacted this field, but Dante also has a strong relationship with theology. The idea that theology, teleology, and logocentric rationalities are simply overcome and swept away by new theoretical approaches proves much more complex as the theory revolution is exposed in its crypto-theological motives and origins. The revolutionary agendas and methodologies of theoretical currents have ushered in all manner of minorities and postcolonial and gender studies. But the exciting adventure they inaugurate shows up in quite a surprising light when brought to focus through the scholarly discipline of Dante studies as a terrain of dispute between traditional philology and postmodern theory. On this terrain,
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Darwin on the Beagle by Harrison Christian
English | June 3rd, 2025 | ISBN: 9781761154034 | 320 pages | True EPUB | 3.24 MB
The story of the voyage that changed human understanding forever.
In 1831, Charles Darwin set out on an expedition to South America, brought along as a gentleman companion for Captain Robert FitzRoy. Initially conceived as a Christian mission, the voyage would change drastically as the Beagle sailed through the Pacific, with Darwin's observations becoming the building blocks of his revolutionary theory of evolution.
This theory put the rational, scientific Darwin at odds with the deeply religious FitzRoy, who would go on to publicly denigrate Darwin and his heretic ideas. Unbeknownst to FitzRoy, his young friend's intellect would one day tower over the voyage and his own career.
A fascinating look at this seminal journey and the differences between Darwin and FitzRoy, which captures the tension of the Victorian period - an age torn between religious certainty and scientific doubt.
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Das 5-Minuten-Rückentraining: In 8 Wochen stark und schmerzfrei
Deutsch | 2015 | ISBN: 3899938674 | 212 Pages | EPUB | 12 MB
Der erste Gesundheitsratgeber mit interaktivem Personal Coach! Dieser Ratgeber geht Rückenschmerzen wirklich auf den Grund. Der erfolgreiche Motivationstrainer Manuel Eckardt hat einen 8-Wochen-Plan entwickelt, der von jedem problemlos in fünf Minuten pro Tag durchgeführt werden kann. Zahlreiche, gut illustrierte Übungen helfen Rückenschmerzen nicht nur zu lindern, sondern auch vorzubeugen. Das bestätigt die Zeitschrift ÖKO-TEST: Das 5-Minuten-Rückentraining belegt Platz 2 im Test und wird mit der Gesamtnote GUT bewertet. Rückengeplagte können alle Übungen anhand der Abbildungen im Buch durchführen - oder sie nutzen zusätzlich das kostenlose Online-Video-Training. Ergänzt wird das Übungsprogramm mit jeder Menge Wissen über Ihren Körper und eine ausgewogene, alltagstaugliche Ernährung. Außerdem steht Manuel Eckardt seinen Lesern acht Wochen lang als Online-Coach mit Rat und Tat zur Seite.
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Das Finanzbuch für alle, die Finanzbücher scheiße finden
Deutsch | 2024 | ISBN: 3442179998 | 217 Pages | EPUB | 2 MB
Finanzexpertin Claer Barrett erklärt, was wir über Geld wissen müssen, und zwar so, dass es jeder versteht. Indem sie unsere emotionale Beziehung zum Geld entschlüsselt, geht sie der Frage auf den Grund, wie finanzielle Gewohnheiten entstehen, und zeigt sieben wirkungsvolle und doch einfache Wege auf, die unseren Umgang mit Geld für immer verändern.
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Data Analysis for Business Decisions: Case Studies in Excel, R, and ChatGPT by Andres Fortino
English | January 4, 2025 | ISBN: 1683929349 | 440 pages | MOBI | 87 Mb
In today's data-driven world, the ability to analyze and interpret data is no longer optional―it's a necessity for making informed business decisions. This book provides a comprehensive, hands-on guide to mastering the essential techniques and tools that empower business analysts to transform raw data into actionable insights. Packed with practical exercises and real-world case studies, this book focuses on applying statistical methods across the most widely used tools, including Excel, R, Python, and generative AI platforms like ChatGPT. Key topics include framing analytical questions, descriptive and advanced statistical techniques, text analytics and A/B testing, and big data and visualization. Whether analyzing sales trends, optimizing marketing strategies, or improving operational efficiency, you'll gain the skills to make data-backed decisions that drive business success.
FEATURES
* Includes hands-on exercises with industry-standard tools, including Excel, R, Python, and generative AI
* Covers step-by-step instructions for advanced techniques like time series forecasting and contingency analysis
* Uses real-world case studies to demonstrate the application of concepts to business scenarios
* Features companion files with datasets, surveys, and cases (available for downloading from the
Publisher)
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Data Analytics for Smart Infrastructure by Yang Wang, Zhidong Li, Bin Liang
English | January 31, 2025 | ISBN: 103275415X | 202 pages | MOBI | 7.50 Mb
This book presents, for the first time, data analytics for smart infrastructures. The authors draw on over a decade's experience working with industry and demonstrating the capabilities of data analytics for infrastructure and asset management.
The volume gives data-driven solutions to cover critical capabilities for infrastructure and asset management across three domains: 1) situation awareness 2) predictive analytics and 3) decision support. The reader will gain from various data analytic techniques including anomaly detection, performance evaluation, failure prediction, trend analysis, asset prioritization, smart sensing and real-time/online systems. These data analytic techniques are vital to solving problems in infrastructure and asset management. The reader will benefit from case studies drawn from critical infrastructures such as water management, structural health monitoring and rail networks.
This groundbreaking work will be essential reading for those studying and practicing analytics in the context of smart infrastructure.
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Data Center Handbook: Plan, Design, Build, and Operations of a Smart Data Center by Hwaiyu Geng
English | May 4, 2021 | ISBN: 1119597501 | 752 pages | MOBI | 64 Mb
DATA CENTER HANDBOOK
Written by 59 experts and reviewed by a seasoned technical advisory board, the Data Center Handbook is a thoroughly revised, one-stop resource that clearly explains the fundamentals, advanced technologies, and best practices used in planning, designing, building and operating a mission-critical, energy-efficient, sustainable data center. This handbook, in its second edition, covers anatomy, ecosystem and taxonomy of data centers that enable the Internet of Things and artificial intelligent ecosystems and encompass the following:
SECTION 1: DATA CENTER OVERVIEW AND STRATEGIC PLANNINGMegatrends, the IoT, artificial intelligence, 5G network, cloud and edge computingStrategic planning forces, location plan, and capacity planningGreen design & construction guidelines and best practicesEnergy demand, conservation, and sustainability strategiesData center financial analysis & risk managementSECTION 2: DATA CENTER TECHNOLOGIESSoftware-defined environmentComputing, storage, network resource managementWireless sensor networks in data centersASHRAE data center guidelinesData center telecommunication cabling, BICSI and TIA 942Rack-level and server-level coolingCorrosion and contamination controlEnergy saving technologies and server designMicrogrid and data centersSECTION 3: DATA CENTER DESIGN & CONSTRUCTIONData center site selectionArchitecture design: rack floor plan and facility layoutMechanical design and cooling technologiesElectrical design and UPSFire protectionStructural designReliability engineeringComputational fluid dynamicsProject managementSECTION 4: DATA CENTER OPERATIONS TECHNOLOGIESBenchmarking metrics and assessmentData center infrastructure managementData center air managementDisaster recovery and business continuity managementThe Data Center Handbook: Plan, Design, Build, and Operations of a Smart Data Center belongs on the bookshelves of any professionals who work in, with, or around a data center.
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Data Engineering Fundamentals
by Liu, Zhaolong;
English | 2025 | ISBN: 9365894964 | 252 pages | True EPUB | 9.71 MB
In today's data-driven world, mastering data engineering is crucial for anyone looking to build robust data pipelines and extract valuable insights. This book simplifies complex concepts and provides a clear pathway to understanding the core principles that power modern data solutions. It bridges the gap between raw data and actionable intelligence, making data engineering accessible to everyone.
This book walks you through the entire data engineering lifecycle. Starting with foundational concepts and data ingestion from diverse sources, you will learn how to build efficient data lakes and warehouses. You will learn data transformation using tools like Apache Spark and the orchestration of data workflows with platforms like Airflow and Argo Workflow. Crucial aspects of data quality, governance, scalability, and performance monitoring are thoroughly covered, ensuring you understand how to maintain reliable and efficient data systems. Real-world use cases across industries like e-commerce, finance, and government illustrate practical applications, while a final section explores emerging trends such as AI integration and cloud advancements.
By the end of this book, you will have a solid foundation in data engineering, along with practical skills to help enhance your career. You will be equipped to design, build, and maintain data pipelines, transforming raw data into meaningful insights.
What you will learn
● Understand data engineering base concepts and build scalable solutions.
● Master data storage, ingestion, and transformation.
● Orchestrates data workflows and automates pipelines for efficiency.
● Ensure data quality, governance, and security compliance.
● Monitor, optimize, and scale data solutions effectively.
● Explore real-world use cases and future data trends.
Who this book is for
This book is for aspiring data engineers, analysts, and developers seeking a foundational understanding of data engineering. Whether you are a beginner or looking to deepen your expertise, this book provides you with the knowledge and tools to succeed in today's data engineering challenges.
Table of Contents
1. Understanding Data Engineering
2. Data Ingestion and Acquisition
3. Data Storage and Management
4. Data Transformation and Processing
5. Data Orchestration and Workflows
6. Data Governance Principles
7. Scaling Data Solutions
8. Monitoring and Performance
9. Real-world Data Engineering Use Cases
10. Future Trends in Data Engineering
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Data Science and Analytics with Python
by Rogel-Salazar, Jesus;
English | 2025 | ISBN: 9393330344 | 320 pages | True EPUB | 7.52 MB
Since the first edition of Data Science and Analytics with Python we have witnessed an unprecedented explosion in the interest and development within the fields of Artificial Intelligence (AI) and Machine Learning (ML). This surge has led to the widespread adoption of the book, not just among business practitioners, but also by universities as a key textbook. In response to this growth, this new edition builds upon the success of its predecessor, expanding several sections, updating the code to reflect the latest advancements in Python libraries and modules, and addressing the ever-evolving landscape of Generative AI (Gen AI). This updated edition ensures that the examples and exercises remain relevant by incorporating the latest features of popular libraries such as Scikit-learn, Pandas, and NumPy. Additionally, new sections delve into cutting-edge topics like Gen AI, reflecting the advancements and the expanding role these technologies play. This edition also addresses crucial issues of explainability, transparency and fairness in AI. These topics have rightly gained significant attention in recent years. As AI integrates more deeply into various aspects of our lives, understanding and mitigating biases, ensuring fairness and maintaining transparency become paramount. This book provides comprehensive coverage of these topics, offering practical insights and guidance for data scientists and analysts. Designed as a practical companion for data analysts and budding data scientists, this book assumes a working knowledge of programming and statistical modelling but aims to guide readers deeper into the wonders of data analytics and ML. Maintaining the book's structure, each chapter stands alone as much as possible, allowing readers to use it as a reference as well as a textbook. Whether revisiting fundamental concepts or diving into new, advanced topics, this book offers something valuable for every reader.
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Data Science and Applications: Proceedings of ICDSA 2024, Volume 6
English | 2025 | ISBN: 9819611873 | 491 Pages | PDF (True) | 34 MB
This book gathers outstanding papers presented at the 5th International Conference on Data Science and Applications (ICDSA 2024), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from 17 to 19 July 2024. The book is divided into four volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.
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Data Science for SMEs and Freelancers: What No One Tells You About How Data Can Transform Your Business by Rubén Maestre
English | November 30, 2024 | ISBN: N/A | ASIN: B0DPDN24V7 | 613 pages | EPUB | 9.22 Mb
Did you know that your data is the new oil? If you have a database, you have a goldmine. This book will show you how to turn that data into a growth engine for your business, using real-world examples that prove data science is within reach for any SME or freelancer willing to unlock its potential. Forget complicated programming tutorials or endless lines of code. Instead, this book takes you on a practical journey, full of examples you can visualize and apply directly to your reality.
Businesses that have learned to leverage their data are making a difference: anticipating customer needs, optimizing processes, and making smarter decisions. You'll learn how to do the same, from sales forecasting to personalizing marketing campaigns, all with an accessible and pragmatic approach that makes your data your greatest competitive advantage, regardless of your company's size.
The idea is simple: leave assumptions behind and base every action on concrete facts and patterns. You'll discover how data analysis, automation, and machine learning can transform your business-whether it's a small local shop or a growing medium-sized enterprise. This isn't about abstract theories or empty promises. Here, you'll find examples and cases you can adapt and apply to your operations to increase revenue, optimize resources, and better understand your customers.
What can you expect from this book?Practical applications of data science: Explore examples ranging from sales forecasting to customer segmentation, always focused on real-life situations for small businesses.Accessible tools for any business: You don't need to be a programming expert to use tools like Python or interactive dashboards. Learn how to make the most of what's already available to you to turn data into actionable decisions.The power of artificial intelligence: Discover how AI is now accessible for SMEs and freelancers, enabling everything from personalized offers to inventory optimization.A practical, no-nonsense approach: Skip the unnecessary technical jargon and focus on strategies you can apply to your business.Why is this book important?
Because every piece of data matters. Every customer walking through your door, every transaction, every inquiry is a source of information that, if used wisely, can make a significant difference. My goal is to help you understand how to turn that data into a strategic ally for your business. This is not about empty promises or overwhelming you with unattainable formulas-this is about bringing data science into your daily operations in a clear and accessible way.
Who should read this book?
This book is for SMEs, freelancers, and entrepreneurs looking to improve their businesses and understand how data science can be a powerful tool for smarter decision-making. If you're interested in maximizing your resources, refining your strategies, and discovering new opportunities through your data, this book is for you.
About the Author
I'm Rubén Maestre, a data science, artificial intelligence, and digital marketing enthusiast. My experience working with SMEs, freelancers, and various industries has taught me the immense power of data. My mission is to show you how any business, with the right tools and mindset, can transform its reality through data analysis.
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Pascual Pérez-Paredes, "Data-driven Learning in and out of the Language Classroom "
English | ISBN: 1009511424 | 2025 | 100 pages | PDF | 4 MB
Data-Driven Learning (DDL) can be broadly defined as the use of corpus tools and techniques for learners and teachers of foreign or second language, typically in the form of concordances derived from authentic texts for inductive learning of lexicogrammar. This Element is a practical guide for language teachers and graduate students intending to explore or upgrade their use of corpora in the language classroom and beyond. In today's context, where advances in computing and information processing dominate our social and professional interactions, the use of corpora emerges as a prime resource with which to approach data-driven language learning and teaching, developing language awareness, noticing skills and critical thinking for learning that generative AI cannot do for you.
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Databricks Certified Data Engineer Associate Study Guide: In-Depth Guidance and Practice by Derar Alhussein
English | March 25, 2025 | ISBN: 1098166833 | 408 pages | MOBI | 32 Mb
Data engineers proficient in Databricks are currently in high demand. As organizations gather more data than ever before, skilled data engineers on platforms like Databricks become critical to business success. The Databricks Data Engineer Associate certification is proof that you have a complete understanding of the Databricks platform and its capabilities, as well as the essential skills to effectively execute various data engineering tasks on the platform.
In this comprehensive study guide, you will build a strong foundation in all topics covered on the certification exam, including the Databricks Lakehouse and its tools and benefits. You'll also learn to develop ETL pipelines in both batch and streaming modes. Moreover, you'll discover how to orchestrate data workflows and design dashboards while maintaining data governance. Finally, you'll dive into the finer points of exactly what's on the exam and learn to prepare for it with mock tests.
Author Derar Alhussein teaches you not only the fundamental concepts but also provides hands-on exercises to reinforce your understanding. From setting up your Databricks workspace to deploying production pipelines, each chapter is carefully crafted to equip you with the skills needed to master the Databricks Platform. By the end of this book, you'll know everything you need to ace the Databricks Data Engineer Associate certification exam with flying colors, and start your career as a certified data engineer from Databricks!
You'll learn how to:Use the Databricks Platform and Delta Lake effectivelyPerform advanced ETL tasks using Apache Spark SQLDesign multi-hop architecture to process data incrementallyBuild production pipelines using Delta Live Tables and Databricks JobsImplement data governance using Databricks SQL and Unity Catalog
Derar Alhussein is a senior data engineer with a master's degree in data mining. He has over a decade of hands-on experience in software and data projects, including large-scale projects on Databricks. He currently holds eight certifications from Databricks, showcasing his proficiency in the field. Derar is also an experienced instructor, with a proven track record of success in training thousands of data engineers, helping them to develop their skills and obtain professional certifications.
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Dataproc Cookbook: Running Spark and Hadoop Workloads in Google Cloud by Narasimha Sadineni, Anuyogam Venkataraman
English | July 8th, 2025 | ISBN: 1098157702 | 436 pages | True EPUB (Retail Copy) | 18.42 MB
Want to build big data solutions in Google Cloud? Dataproc Cookbook is your hands-on guide to mastering Dataproc and the essential GCP fundamentals-like networking, security, monitoring, and cost optimization-that apply across Google Cloud services. Learn practical skills that not only fast-track your Dataproc expertise, but also help you succeed with a wide range of GCP technologies.
Written by data experts Narasimha Sadineni and Anu Venkataraman, this cookbook tackles real-world use cases like serverless Spark jobs, Kubernetes-native deployments, and cost-optimized data lake workflows. You'll learn how to create ephemeral and persistent Dataproc clusters, run secure data science workloads, implement monitoring solutions, and plan effective migration and optimization strategies.
* Create Dataproc clusters on Compute Engine and Kubernetes Engine
* Run data science workloads on Dataproc
* Execute Spark jobs on Dataproc Serverless
* Optimize Dataproc clusters to be cost effective and performant
* Monitor Spark jobs in various ways
* Orchestrate various workloads and activities
* Use different methods for migrating data and workloads from existing Hadoop clusters to Dataproc
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Dataproc Cookbook: Running Spark and Hadoop Workloads in Google Cloud
English | 2025 | ISBN: 1098157702 | 500 Pages | EPUB | 19 MB
Get up to speed with Dataproc, the fully managed and highly scalable service for running open source big data tools and frameworks, including Hadoop, Spark, Flink, and Presto. This cookbook shows data engineers, data scientists, data analysts, and cloud architects how to use Dataproc, integrated with Google Cloud, for data lake modernization, ETL, and secure data science at a fraction of the cost.
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Dataproc-Kochbuch
Deutsch | 2025 | ISBN: 9798341659995 | 536 Pages | EPUB | 19 MB
Willst du Big-Data-Lösungen in Google Cloud aufbauen? Dann ist das Dataproc-Kochbuch genau das Richtige für dich. Es ist dein praktischer Leitfaden, um Dataproc und die wichtigsten GCP-Grundlagen wie Netzwerk, Sicherheit, Überwachung und Kostenoptimierung zu meistern, die für alle Google Cloud-Dienste gelten. Hol dir praktische Kenntnisse, die nicht nur dein Dataproc-Know-how schnell erweitern, sondern dir auch dabei helfen, mit einer Vielzahl von GCP-Technologien erfolgreich zu sein.
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