Mondal, masud (33 Ergebnisse)
Sprache: Englisch
Verlag: Independently published, 2026
Serie: Data Engineering, Buch 7 von 2. Buch 7 von 2 - Data Engineering
- Softcover
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
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Paperback. Zustand: new. Paperback. Make Money Using AI ToolsA Practical Beginner's Guide to Earning with Artificial IntelligenceArtificial Intelligence is transforming how people work, create, and earn money. You no longer need advanced technical skills, coding knowledge, or a big investment to benefit from AI.Make Money Using…AI Tools is a beginner-friendly, step-by-step guide that shows you how to use AI tools to build real income streams in today's digital world.This book explains AI in simple English, focusing on practical use cases rather than complex theory. Whether you are a student, freelancer, job seeker, creator, or someone looking for a side income, this book gives you a clear roadmap to get started.What You Will Learn- How artificial intelligence works (explained simply)- The best AI tools for writing, design, video, automation, and productivity- How to make money using AI through freelancing, content creation, and online services- AI tools for YouTube, social media, blogging, and digital products- How to price AI-based services for India, the UK, and the US- How to use ChatGPT effectively with ready-made prompts- Common beginner mistakes and how to avoid them- Ethical and legal use of AI for long-term successBonus Section Included- 100+ useful AI tools categorized by purpose- 50 powerful ChatGPT prompts for productivity, creativity, and income- 10 websites for AI-based freelancing opportunities- Beginner-friendly AI glossary- Recommended learning resources and YouTube channelsWho This Book Is For- Beginners with no AI or technical background- Freelancers and content creators- Students and job seekers- Entrepreneurs and side-hustlers- Anyone who wants to future-proof their incomeWhat You Don't Need- No coding skills- No technical degree- No prior AI experience- No large investmentWhy This Book Is DifferentThis book focuses on real tools, practical strategies, and clear action steps. There is no hype, no unnecessary jargon, and no false promises - only realistic guidance you can apply immediately.Artificial intelligence is not replacing people.People who use AI are replacing those who don't.If you want to stay relevant, productive, and financially prepared for the future, this book is your starting point.Start your AI journey today. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Zustand: New. Print on Demand.
Sprache: Englisch
Verlag: Independently published, 2026
Serie: ETL Testing, Buch 1 von 1. Buch 1 von 1 - ETL Testing
- Softcover
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Zustand: New. Print on Demand.
Sprache: Englisch
Verlag: Independently published, 2026
Serie: Data Engineering with Python Series, Buch 1 von 2. Buch 1 von 2 - Data Engineering with Python Series
- Softcover
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Zustand: New. Print on Demand.
Sprache: Englisch
Verlag: Independently published, 2026
Serie: QA Testing, Buch 2. Buch 2 - QA Testing
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Zustand: New. Print on Demand.
Sprache: Englisch
Verlag: Independently published, 2026
Serie: Data Engineering with Python Series, Buch 3 von 2. Buch 3 von 2 - Data Engineering with Python Series
- Softcover
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EUR 18,97
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Zustand: New. Print on Demand.
Sprache: Englisch
Verlag: Roycille Publishing Company Jun 2026, 2026
Serie: ETL Testing, Buch 1 von 1. Buch 1 von 1 - ETL Testing
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Taschenbuch. Zustand: Neu. Neuware.
- Softcover
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Taschenbuch. Zustand: Neu. Neuware.
Sprache: Englisch
Verlag: Independently published, 2026
Serie: Data Engineering, Buch 6 von 2. Buch 6 von 2 - Data Engineering
- Softcover
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EUR 19,88
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Zustand: New. Print on Demand.
Sprache: Englisch
Verlag: Independently Published Apr 2026, 2026
Serie: QA Testing, Buch 2. Buch 2 - QA Testing
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Taschenbuch. Zustand: Neu. Neuware - Master API Automation Testing with Python - and Become Job-ReadyAre you ready to move beyond manual testing and build automation skills that companies are actively hiring for Do you want to write real API tests, build a professional framework, and walk into interviews with something concrete…to show This book is your complete, practical guide to making that happen.API Automation Testing with Python: Requests, PyTest, and AI-Powered Testing takes you from foundational understanding to real-world application - step by step, without assuming prior automation experience. Every concept is grounded in what you will actually do on the job. What You Will Learn - Write API tests using Python, Requests, and PyTest- Test GET, POST, PUT, and DELETE operations with full validation- Handle authentication flows and perform security testing- Build a complete, professional API automation framework- Integrate your test suite into a CI/CD pipeline- Use AI tools to generate test cases and improve efficiency- Prepare confidently for QA and automation interviewsA Real Project, Built by You>AI-Powered Testing - Built Into the CurriculumYou will learn to use AI to generate test scenarios, write automation code faster, and diagnose failures more efficiently - while developing the critical judgment to validate everything AI produces.AI is not replacing testers. It is raising the bar for what skilled testers can accomplish. This book shows you how to clear it.Who This Book Is For Beginners entering QA, manual testers transitioning to automation, students preparing for IT careers, and professionals adding Python automation to their skill set. No prior automation experience required.Start building your skills. Start building your career.
Sprache: Englisch
Verlag: Independently Published Jun 2026, 2026
Serie: Data Engineering, Buch 6 von 2. Buch 6 von 2 - Data Engineering
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 24,72
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Taschenbuch. Zustand: Neu. Neuware.
Sprache: Englisch
Verlag: Independently Published, 2026
Serie: QA Testing, Buch 2. Buch 2 - QA Testing
- Softcover
- Print-on-Demand
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Paperback. Zustand: new. Paperback. Master API Automation Testing with Python - and Become Job-ReadyAre you ready to move beyond manual testing and build automation skills that companies are actively hiring for? Do you want to write real API tests, build a professional framework, and walk into interviews with something concrete…to show?This book is your complete, practical guide to making that happen.API Automation Testing with Python: Requests, PyTest, and AI-Powered Testing takes you from foundational understanding to real-world application - step by step, without assuming prior automation experience. Every concept is grounded in what you will actually do on the job. What You Will Learn?Write API tests using Python, Requests, and PyTestTest GET, POST, PUT, and DELETE operations with full validationHandle authentication flows and perform security testingBuild a complete, professional API automation frameworkIntegrate your test suite into a CI/CD pipelineUse AI tools to generate test cases and improve efficiencyPrepare confidently for QA and automation interviewsA Real Project, Built by YouThis book includes a complete end-to-end API testing project - structured the way professional teams build theirs, with real endpoints, CRUD operations, CI/CD integration, and reporting. Push it to GitHub and present it in any interview with confidence. AI-Powered Testing - Built Into the CurriculumYou will learn to use AI to generate test scenarios, write automation code faster, and diagnose failures more efficiently - while developing the critical judgment to validate everything AI produces.AI is not replacing testers. It is raising the bar for what skilled testers can accomplish. This book shows you how to clear it.Who This Book Is For?Beginners entering QA, manual testers transitioning to automation, students preparing for IT careers, and professionals adding Python automation to their skill set. No prior automation experience required.Start building your skills. Start building your career. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Sprache: Englisch
Verlag: Independently Published Jun 2026, 2026
Serie: Data Engineering with Python Series, Buch 3 von 2. Buch 3 von 2 - Data Engineering with Python Series
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Taschenbuch. Zustand: Neu. Neuware.
Sprache: Englisch
Verlag: Independently Published Apr 2026, 2026
Serie: Data Engineering with Python Series, Buch 1 von 2. Buch 1 von 2 - Data Engineering with Python Series
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 26,05
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Taschenbuch. Zustand: Neu. Neuware - Stop Learning. Start Building. Become Job-Ready in Data Engineering.Data engineering is one of the fastest-growing careers in tech - but most resources teach theory, not real-world skills. This book is different.Instead of long explanations, you will build 12 complete, real-world data enginee…ring projects using Python and SQL. Every project simulates a genuine business scenario, follows a professional structure, and gives you something tangible to show employers.What You Will BuildWorking through this book, you will create end-to-end data pipelines including CSV and file-based ingestion systems, API data pipelines with error handling, data cleaning and validation workflows, JSON to SQL transformation pipelines, a star schema data warehouse, reporting data marts for analytics, e-commerce and log processing pipelines, incremental loading systems, fault-tolerant and reliable pipelines, performance-optimized data workflows, and automated testing for data quality.Learn by Doing - Not Just ReadingEvery project follows the same professional structure: business problem, pipeline architecture, step-by-step implementation, working code, expected output, resume-ready bullet points, and interview questions. You won't just understand the concepts - you will know how to apply them.Become Job-ReadyThis book is designed to help you build a strong GitHub portfolio, write powerful resume project points, answer real data engineering interview questions with confidence, and develop the end-to-end thinking that employers are looking for. By the last page, you will have practical, demonstrable experience that sets you apart from other candidates.Who This Book Is ForThis book is written for beginners starting a career in data engineering, developers and software engineers transitioning into data roles, QA and automation engineers looking to upskill, and anyone who learns best through hands-on, project-based work. Basic knowledge of Python and SQL is all you need to get started.Why This Book Is DifferentNo unnecessary theory. No long academic explanations. No abstract concepts disconnected from practice. Only real projects, practical learning, and job-focused skills built through doing.Your Learning PathStart with simple file-based pipelines. Progress through API ingestion, data warehousing, and analytics systems. Finish with production-ready patterns including incremental loading, fault tolerance, performance optimization, and automated testing.By the End of This Book, You Will Have: Built 12 real-world data engineering projects. Developed end-to-end pipeline thinking. Created a job-ready portfolio. And gained the confidence to apply for data engineering roles - not someday, but now.
Sprache: Englisch
Verlag: Independently Published Jun 2026, 2026
Serie: Data Engineering with Python Series, Buch 4 von 2. Buch 4 von 2 - Data Engineering with Python Series
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Taschenbuch. Zustand: Neu. Neuware.
Sprache: Englisch
Verlag: Independently published, 2026
Serie: Data Engineering with Python Series, Buch 4 von 2. Buch 4 von 2 - Data Engineering with Python Series
- Softcover
- Print-on-Demand
Anbieter: California Books, Miami, FL, USACalifornia Books
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EUR 20,78
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Zustand: New. Print on Demand.
Sprache: Englisch
Verlag: Independently Published, 2026
Serie: Data Engineering with Python Series, Buch 1 von 2. Buch 1 von 2 - Data Engineering with Python Series
- Softcover
- Print-on-Demand
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes KönigreichPBShop.store UK
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PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Sprache: Englisch
Verlag: Independently Published Mai 2026, 2026
Serie: Data Engineering, Buch 2 von 2. Buch 2 von 2 - Data Engineering
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Taschenbuch. Zustand: Neu. Neuware - Build production-grade data engineering systems used in modern cloud environments - not just beginner ETL scripts.As organizations continue shifting toward cloud-native analytics, real-time processing, and distributed data platforms, the demand for skilled data engineers has never been higher…. Yet most learning resources still focus on isolated concepts rather than showing how production systems are actually designed, built, and operated at scale.This book changes that.Advanced Data Engineering Projects with Python, SQL & Cloud is a hands-on, project-based guide that takes you beyond the basics and develops the practical engineering skills that modern data engineering roles demand. Every chapter is built around realistic production scenarios - not toy examples - using technologies widely adopted across the industry.What you will learn - Build scalable ETL and ELT pipelines using Python and SQL- Process large datasets with Apache Spark and PySpark- Design real-time streaming systems using Apache Kafka- Orchestrate complex workflows with Apache Airflow- Implement cloud-native architectures using AWS S3, Glue, Redshift, and Lambda- Build distributed analytics warehouses with performance-optimized table design- Create Bronze, Silver, and Gold Medallion data lakehouse architectures- Implement Change Data Capture and incremental loading strategies- Monitor pipeline health with logging, metrics, and automated alerting- Build automated data quality validation frameworks and production quality gates- Optimize distributed systems for scalability, performance, and cloud cost efficiency- Design complete enterprise-level data platforms from requirements to deploymentWho this book is for This book is written for aspiring data engineers building their first serious portfolio, ETL developers transitioning into cloud and big data platforms, backend engineers exploring distributed data systems, analytics engineers deepening their technical foundation, and professionals preparing for mid-level or senior data engineering interviews.Why this book is different Most technical books teach tools in isolation. This book teaches how modern systems work together - and more importantly, how to think like an engineer who builds them.You will learn not only how to use these technologies, but how to design for scalability, build for reliability, optimise for performance, and solve the kinds of problems that appear in real production environments at 2 a.m. when something breaks.By the end of this book, you will have a collection of advanced portfolio-quality projects, a strong foundation in enterprise architecture patterns, interview preparation material covering system design and production troubleshooting, and the practical engineering mindset that separates strong candidates in today's competitive data engineering job market.
Sprache: Englisch
Verlag: Independently Published, 2026
Serie: Data Engineering with Python Series, Buch 3 von 2. Buch 3 von 2 - Data Engineering with Python Series
- Softcover
- Print-on-Demand
Anbieter: Grand Eagle Retail, Bensenville, IL, USAGrand Eagle Retail
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EUR 21,26
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Paperback. Zustand: new. Paperback. Walk into your data engineering interview ready for every round.Most people don't fail data engineering interviews because they lack skill. They fail because no one showed them what each round is really testing, or how to answer under pressure. This book fixes that. Data Engineering Interview…Mastery & System Design is a complete, end-to-end preparation guide that follows the real shape of a modern DE interview, from SQL and Python fundamentals to the senior system design rounds where the best offers are won and lost. What you'll master: SQL interview problems: joins, window functions, CTEs, indexing, and query optimizationPython for data engineers: generators, decorators, OOP, concurrency, and "what does this print?" questionsWarehousing & modeling: OLTP vs OLAP, star and snowflake schemas, slowly changing dimensions, and Data VaultLakes & lakehouses: Delta/Iceberg, ACID on files, schema evolution, and the medallion architectureBig data & cloud: Spark internals, shuffles and data skew, Kafka delivery guarantees, AWS, and AirflowSystem design: a repeatable framework plus four full designs - Batch ETL, Real-Time Streaming, Data Lakehouse, and a 5-billion-events/day Clickstream platformCareer mastery: resume, LinkedIn, portfolio projects, mock interviews, and salary negotiationWhy this book is different?: Every key question follows a proven 8-part format - Question, Why Interviewers Ask, Simple Answer, Detailed Explanation, Real Business Example, Common Mistakes, Follow-up Questions, and Difficulty - so you don't just memorize an answer, you understand it and handle the follow-ups that actually decide the outcome. You also get 285+ rapid-fire questions in the appendices (Top 100 SQL, Top 50 Python, Top 50 Spark, Top 30 Kafka, Top 30 AWS, Top 25 System Design) and quick-reference cheat sheets for last-minute revision the night before. Who it's for?: Freshers and career switchers, ETL/QA/analyst professionals moving into data engineering, software engineers crossing over, and experienced engineers targeting senior roles. Nobody is talked down to, and nothing is padded. This isn't a list of facts to memorize. It teaches you to think the way a data engineer thinks: clarify the problem, reason about how systems behave and fail, weigh the trade-offs, and say it all clearly out loud. The work ahead is real, and it's learnable. Scroll up, grab your copy, and start preparing the way the engineers who get hired do. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Sprache: Englisch
Verlag: Independently Published Mai 2026, 2026
Serie: Data Engineering, Buch 8 von 2. Buch 8 von 2 - Data Engineering
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 33,10
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Taschenbuch. Zustand: Neu. Neuware - SQL for Data Engineering - ETL, Warehousing, Cloud Platforms & AI WorkflowsMost SQL books teach you to write queries. This one teaches you to build systems.If you know basic SQL but struggle to apply it in production environments, or you are preparing for data engineering interviews and want…experience beyond simple SELECT statements, this book was written for you.SQL for Data Engineering bridges the gap between tutorial SQL and the skills that data engineering roles actually demand - ETL pipelines, warehouse design, query optimization, and the architectural thinking that separates engineers who build reliable data systems from those who only query them.What you will learn: - Advanced querying - joins, CTEs, subqueries, window functions, and analytical SQL patterns- Data transformation - cleaning, standardisation, safe casting, and deduplication techniques- ETL architecture - incremental loading, staging patterns, Slowly Changing Dimensions, and idempotent pipeline design- Warehouse design - star schemas, dimensional modelling, partitioning, indexing, and materialised views- Performance optimisation - EXPLAIN ANALYZE, execution plans, query tuning, and production-grade optimisation- Semi-structured data - JSON and JSONB processing, schema drift handling, and event pipeline patterns- Cloud platforms - Snowflake, BigQuery, Redshift, and Databricks with practical SQL for each- AI workflows - prompt engineering for SQL tasks, AI-assisted debugging, and the risks of generated codeFour industry projects you will build: - E-Commerce Analytics Warehouse- SaaS Subscription Metrics Platform- Banking Transaction Fraud Monitoring System- Food Delivery ETL and Operations PipelineEach project covers a realistic business problem, complete ETL pipeline, warehouse schema, KPI queries, and interview preparation - designed to go directly into your portfolio.You also get: - Integrated interview Q&A in every chapter drawn from real hiring panels- Resume bullet points after every chapter and project- A complete career roadmap for aspiring data engineers- Appendices covering SQL functions, data types, troubleshooting, glossary, and a tool landscape guide.
Sprache: Englisch
Verlag: Independently Published Jun 2026, 2026
Serie: Data Engineering, Buch 7 von 2. Buch 7 von 2 - Data Engineering
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 34,41
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Taschenbuch. Zustand: Neu. Neuware.
- Softcover
- Print-on-Demand
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EUR 23,49
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Zustand: New. Print on Demand.
Sprache: Englisch
Verlag: Independently published, 2026
Serie: Data Engineering with Python Series, Buch 2 von 2. Buch 2 von 2 - Data Engineering with Python Series
- Softcover
- Print-on-Demand
Anbieter: California Books, Miami, FL, USACalifornia Books
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Zustand: New. Print on Demand.
Sprache: Englisch
Verlag: Independently published, 2026
Serie: QA Testing, Buch 3. Buch 3 - QA Testing
- Softcover
- Print-on-Demand
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EUR 24,39
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Zustand: New. Print on Demand.
Sprache: Englisch
Verlag: Independently published, 2026
Serie: Data Engineering, Buch 7 von 2. Buch 7 von 2 - Data Engineering
- Softcover
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Paperback. Zustand: new. Paperback. SQL for Data Engineering - ETL, Warehousing, Cloud Platforms & AI WorkflowsMost SQL books teach you to write queries. This one teaches you to build systems.If you know basic SQL but struggle to apply it in production environments, or you are preparing for data engineering interviews and want e…xperience beyond simple SELECT statements, this book was written for you.SQL for Data Engineering bridges the gap between tutorial SQL and the skills that data engineering roles actually demand - ETL pipelines, warehouse design, query optimization, and the architectural thinking that separates engineers who build reliable data systems from those who only query them.What you will learn: Advanced querying - joins, CTEs, subqueries, window functions, and analytical SQL patternsData transformation - cleaning, standardisation, safe casting, and deduplication techniquesETL architecture - incremental loading, staging patterns, Slowly Changing Dimensions, and idempotent pipeline designWarehouse design - star schemas, dimensional modelling, partitioning, indexing, and materialised viewsPerformance optimisation - EXPLAIN ANALYZE, execution plans, query tuning, and production-grade optimisationSemi-structured data - JSON and JSONB processing, schema drift handling, and event pipeline patternsCloud platforms - Snowflake, BigQuery, Redshift, and Databricks with practical SQL for eachAI workflows - prompt engineering for SQL tasks, AI-assisted debugging, and the risks of generated codeFour industry projects you will build: E-Commerce Analytics WarehouseSaaS Subscription Metrics PlatformBanking Transaction Fraud Monitoring SystemFood Delivery ETL and Operations PipelineEach project covers a realistic business problem, complete ETL pipeline, warehouse schema, KPI queries, and interview preparation - designed to go directly into your portfolio.You also get: Integrated interview Q&A in every chapter drawn from real hiring panelsResume bullet points after every chapter and projectA complete career roadmap for aspiring data engineersAppendices covering SQL functions, data types, troubleshooting, glossary, and a tool landscape guide This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Softcover
- Print-on-Demand
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EUR 16,26
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Paperback. Zustand: new. Paperback. Make Money Using AI ToolsA Practical Beginner's Guide to Earning with Artificial IntelligenceArtificial Intelligence is transforming how people work, create, and earn money. You no longer need advanced technical skills, coding knowledge, or a big investment to benefit from AI.Make Money Using…AI Tools is a beginner-friendly, step-by-step guide that shows you how to use AI tools to build real income streams in today's digital world.This book explains AI in simple English, focusing on practical use cases rather than complex theory. Whether you are a student, freelancer, job seeker, creator, or someone looking for a side income, this book gives you a clear roadmap to get started.What You Will Learn- How artificial intelligence works (explained simply)- The best AI tools for writing, design, video, automation, and productivity- How to make money using AI through freelancing, content creation, and online services- AI tools for YouTube, social media, blogging, and digital products- How to price AI-based services for India, the UK, and the US- How to use ChatGPT effectively with ready-made prompts- Common beginner mistakes and how to avoid them- Ethical and legal use of AI for long-term successBonus Section Included- 100+ useful AI tools categorized by purpose- 50 powerful ChatGPT prompts for productivity, creativity, and income- 10 websites for AI-based freelancing opportunities- Beginner-friendly AI glossary- Recommended learning resources and YouTube channelsWho This Book Is For- Beginners with no AI or technical background- Freelancers and content creators- Students and job seekers- Entrepreneurs and side-hustlers- Anyone who wants to future-proof their incomeWhat You Don't Need- No coding skills- No technical degree- No prior AI experience- No large investmentWhy This Book Is DifferentThis book focuses on real tools, practical strategies, and clear action steps. There is no hype, no unnecessary jargon, and no false promises - only realistic guidance you can apply immediately.Artificial intelligence is not replacing people.People who use AI are replacing those who don't.If you want to stay relevant, productive, and financially prepared for the future, this book is your starting point.Start your AI journey today. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Sprache: Englisch
Verlag: Independently Published, 2026
Serie: Data Engineering with Python Series, Buch 1 von 2. Buch 1 von 2 - Data Engineering with Python Series
- Softcover
- Print-on-Demand
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EUR 21,08
EUR 43,31 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
Paperback. Zustand: new. Paperback. Stop Learning. Start Building. Become Job-Ready in Data Engineering.Data engineering is one of the fastest-growing careers in tech - but most resources teach theory, not real-world skills. This book is different.Instead of long explanations, you will build 12 complete, real-world data engineer…ing projects using Python and SQL. Every project simulates a genuine business scenario, follows a professional structure, and gives you something tangible to show employers.What You Will BuildWorking through this book, you will create end-to-end data pipelines including CSV and file-based ingestion systems, API data pipelines with error handling, data cleaning and validation workflows, JSON to SQL transformation pipelines, a star schema data warehouse, reporting data marts for analytics, e-commerce and log processing pipelines, incremental loading systems, fault-tolerant and reliable pipelines, performance-optimized data workflows, and automated testing for data quality.Learn by Doing - Not Just ReadingEvery project follows the same professional structure: business problem, pipeline architecture, step-by-step implementation, working code, expected output, resume-ready bullet points, and interview questions. You won't just understand the concepts - you will know how to apply them.Become Job-ReadyThis book is designed to help you build a strong GitHub portfolio, write powerful resume project points, answer real data engineering interview questions with confidence, and develop the end-to-end thinking that employers are looking for. By the last page, you will have practical, demonstrable experience that sets you apart from other candidates.Who This Book Is ForThis book is written for beginners starting a career in data engineering, developers and software engineers transitioning into data roles, QA and automation engineers looking to upskill, and anyone who learns best through hands-on, project-based work. Basic knowledge of Python and SQL is all you need to get started.Why This Book Is DifferentNo unnecessary theory. No long academic explanations. No abstract concepts disconnected from practice. Only real projects, practical learning, and job-focused skills built through doing.Your Learning PathStart with simple file-based pipelines. Progress through API ingestion, data warehousing, and analytics systems. Finish with production-ready patterns including incremental loading, fault tolerance, performance optimization, and automated testing.By the End of This Book, You Will Have: Built 12 real-world data engineering projects. Developed end-to-end pipeline thinking. Created a job-ready portfolio. And gained the confidence to apply for data engineering roles - not someday, but now. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
- Softcover
- Print-on-Demand
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EUR 22,29
EUR 43,31 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
Paperback. Zustand: new. Paperback. Master API Automation Testing with Python - and Become Job-ReadyAre you ready to move beyond manual testing and build automation skills that companies are actively hiring for? Do you want to write real API tests, build a professional framework, and walk into interviews with something concrete…to show?This book is your complete, practical guide to making that happen.API Automation Testing with Python: Requests, PyTest, and AI-Powered Testing takes you from foundational understanding to real-world application - step by step, without assuming prior automation experience. Every concept is grounded in what you will actually do on the job. What You Will Learn?Write API tests using Python, Requests, and PyTestTest GET, POST, PUT, and DELETE operations with full validationHandle authentication flows and perform security testingBuild a complete, professional API automation frameworkIntegrate your test suite into a CI/CD pipelineUse AI tools to generate test cases and improve efficiencyPrepare confidently for QA and automation interviewsA Real Project, Built by YouThis book includes a complete end-to-end API testing project - structured the way professional teams build theirs, with real endpoints, CRUD operations, CI/CD integration, and reporting. Push it to GitHub and present it in any interview with confidence. AI-Powered Testing - Built Into the CurriculumYou will learn to use AI to generate test scenarios, write automation code faster, and diagnose failures more efficiently - while developing the critical judgment to validate everything AI produces.AI is not replacing testers. It is raising the bar for what skilled testers can accomplish. This book shows you how to clear it.Who This Book Is For?Beginners entering QA, manual testers transitioning to automation, students preparing for IT careers, and professionals adding Python automation to their skill set. No prior automation experience required.Start building your skills. Start building your career. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
