David LaRochelle – författare

High on a mountain live 100 mighty dragons all named Broccoli. When a tremendous wind blows half the dragons away, ten others sail off to become professional surfers in Hawaii. The oldest and youngest dragons take a train to New York City to start their own heavy metal band. And a mysterious wizard turns four more into a unicorn, a werewolf, a zombie, and a tiny pink poodle. Now how many dragons are left? Young readers will delight in following each and every dragon as they leave their home for marvelous adventures, until there is but one dragon remaining. That's when this final dragon named Broccoli retreats to a cave for the winter and reappears in the spring with a surprise that will thrill and delight. Prepare to read again!

This utterly clever and fun story is the perfect read aloud!When Cow gets her hooves on the farmer''s car, she takes it for a wild ride through the country. Moooo! But a bump in the road brings this joy ride to a troublesome end. Moo-moo. . . . Has Cow learned her lesson about living life in the fast lane? Moo?The Geisel Award winning creators tell a complete story with just one word--MOO--in this imaginative story that will have readers laughing one moment and on the edge of their seats the next, as it captures the highs and lows of a mischievous cow''s very exciting day.

This utterly clever and fun story is the perfect read aloud!When Cow gets her hooves on the farmer''s car, she takes it for a wild ride through the country. Moooo! But a bump in the road brings this joy ride to a troublesome end. Moo-moo. . . . Has Cow learned her lesson about living life in the fast lane? Moo?The Geisel Award winning creators tell a complete story with just one word--MOO--in this imaginative story that will have readers laughing one moment and on the edge of their seats the next, as it captures the highs and lows of a mischievous cow''s very exciting day.

From two Theodor Seuss Geisel Award–winning creators comes a funny and handy guide that explains just how (and how not!) to say “I’m sorry.”Wouldn’t the world be a better place if everyone knew how to apologise? Luckily, this humorous guidebook is full of practical tips about when, why, and how to say you’re sorry. From a porcupine who accidentally popped his friend’s balloon to a snail who was running so fast he stepped on a sloth’s toes, hilarious examples and sweet illustrations abound. For both listeners who are just learning and older readers who need a refresher, this book will come as a welcome reminder that even though apologising can be hard, it doesn’t have to be complicated.

In a hilarious interactive picture book, the Geisel Award–winning creators of See the Cat challenge kids to answer every question with “NO” – even when their brain keeps insisting “YES.”“Brilliantly witty. Take kids on a vicarious adventure of sneaky questions designed to trip up and amuse listeners in equal measure. A clever, hilarious picture book!” Booklist Starred Review“A laugh-out-loud marvel of excess and pacing. . . . There’s no penalty for rereading this hilarious, irresistible book.” Kirkus ReviewsCan you beat Mr Fox at his Game of No? The rules are simple: every time he asks a question, you must respond with “NO.” If you accidentally say “YES,” then it’s back to the beginning of the book for you, where you must start all over again. Are you ready? (Oops!) Do you live on planet Earth? Are you stronger than a baby? What does Y-E-S spell? (Argh!) Kids will giggle uncontrollably as they gamely aim to avoid Mr Fox’s clever traps – but just ask them if they’d like to read this book again, and they won’t be able to resist: “YES!”Have you read this one?How to Apologise

Explore modern data engineering techniques and best practices to build scalable, efficient, and future-proof data processing systems across cloud platformsKey FeaturesArchitect and engineer optimized data solutions in the cloud with best practices for performance and cost-effectivenessExplore design patterns and use cases to balance roles, technology choices, and processes for a future-proof designLearn from experts to avoid common pitfalls in data engineering projectsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionRevolutionize your approach to data processing in the fast-paced business landscape with this essential guide to data engineering. Discover the power of scalable, efficient, and secure data solutions through expert guidance on data engineering principles and techniques. Written by two industry experts with over 60 years of combined experience, it offers deep insights into best practices, architecture, agile processes, and cloud-based pipelines. You’ll start by defining the challenges data engineers face and understand how this agile and future-proof comprehensive data solution architecture addresses them. As you explore the extensive toolkit, mastering the capabilities of various instruments, you’ll gain the knowledge needed for independent research. Covering everything you need, right from data engineering fundamentals, the guide uses real-world examples to illustrate potential solutions. It elevates your skills to architect scalable data systems, implement agile development processes, and design cloud-based data pipelines. The book further equips you with the knowledge to harness serverless computing and microservices to build resilient data applications.By the end, you'll be armed with the expertise to design and deliver high-performance data engineering solutions that are not only robust, efficient, and secure but also future-ready.What you will learnArchitect scalable data solutions within a well-architected frameworkImplement agile software development processes tailored to your organization's needsDesign cloud-based data pipelines for analytics, machine learning, and AI-ready data productsOptimize data engineering capabilities to ensure performance and long-term business valueApply best practices for data security, privacy, and complianceHarness serverless computing and microservices to build resilient, scalable, and trustworthy data pipelinesWho this book is forIf you are a data engineer, ETL developer, or big data engineer who wants to master the principles and techniques of data engineering, this book is for you. A basic understanding of data engineering concepts, ETL processes, and big data technologies is expected. This book is also for professionals who want to explore advanced data engineering practices, including scalable data solutions, agile software development, and cloud-based data processing pipelines.

Explore modern data engineering techniques and best practices to build scalable, efficient, and future-proof data processing systems across cloud platforms

Key Features

Architect and engineer optimized data solutions in the cloud with best practices for performance and cost-effectivenessExplore design patterns and use cases to balance roles, technology choices, and processes for a future-proof designLearn from experts to avoid common pitfalls in data engineering projectsPurchase of the print or Kindle book includes a free PDF eBook

Book Description

Revolutionize your approach to data processing in the fast-paced business landscape with this essential guide to data engineering. Discover the power of scalable, efficient, and secure data solutions through expert guidance on data engineering principles and techniques. Written by two industry experts with over 60 years of combined experience, it offers deep insights into best practices, architecture, agile processes, and cloud-based pipelines. You’ll start by defining the challenges data engineers face and understand how this agile and future-proof comprehensive data solution architecture addresses them. As you explore the extensive toolkit, mastering the capabilities of various instruments, you’ll gain the knowledge needed for independent research. Covering everything you need, right from data engineering fundamentals, the guide uses real-world examples to illustrate potential solutions. It elevates your skills to architect scalable data systems, implement agile development processes, and design cloud-based data pipelines. The book further equips you with the knowledge to harness serverless computing and microservices to build resilient data applications.By the end, you''ll be armed with the expertise to design and deliver high-performance data engineering solutions that are not only robust, efficient, and secure but also future-ready.

What you will learn

Architect scalable data solutions within a well-architected frameworkImplement agile software development processes tailored to your organization''s needsDesign cloud-based data pipelines for analytics, machine learning, and AI-ready data productsOptimize data engineering capabilities to ensure performance and long-term business valueApply best practices for data security, privacy, and complianceHarness serverless computing and microservices to build resilient, scalable, and trustworthy data pipelines

Who this book is for

If you are a data engineer, ETL developer, or big data engineer who wants to master the principles and techniques of data engineering, this book is for you. A basic understanding of data engineering concepts, ETL processes, and big data technologies is expected. This book is also for professionals who want to explore advanced data engineering practices, including scalable data solutions, agile software development, and cloud-based data processing pipelines.

A deep breath and a little imagination are key in this gentle, beautifully illustrated story that will inspire little ones to lift their own spirits – and remember that they are loved.Some days are harder to get through than others, but when you’re sad, or lonely, or angry, it helps to remember these words: the Isle of You. Take a moment to shake off your worries, then set sail to a land where your dreams can come true. Soar on the back of an eagle, hunt for treasure, watch dancing polar bears on roller skates –anything you can imagine is yours.Hopeful and dreamlike, Jaime Kim’s paintings illuminate a way for young readers to visualize a brighter, happier mood in this compassionate story by David LaRochelle.