Now in its fourth edition, this classic textbook has grown up alongside the newspaper industry. Today, as ever, it provides students of newspaper journalism with a toolkit for gathering news and filling ever-increasing space with first-rate copy for print and online. Detailed and down-to-earth, this book delivers: • Guidance on news gathering, from government and business to sport and religion • Guidance on news writing, drawing on over 300 examples that have appeared in print, discussing why they work or how they could have been better • Guidance on feature writing, including profiles, comment, leading articles, obituaries and reviews • Specific chapters on ethical reporting and the possibilities and pitfalls of investigative journalism • A review of the new financial realities that the internet is imposing on the media. Informed by over half a century′s professional experience and fully revised to give a nuanced account of the skills required in an online environment, this book is an essential companion for your journalism degree and beyond.
In the time of the Ancients the universe was united—but that was so far in the past that not even memory remains, only the broken artifacts that a few Makers can reshape into their original uses. What survives is shattered into enclaves—some tiny, some ruined, some wild. Into the gaps between settlements, and onto the Road that connects all human reality and the reality that is not human and may never have been human, have crept monsters. Some creatures are men, twisted into inhuman evil; some of them are alien to Mankind— And there are things which are hostile to all life, things which will raven and kill until they are stopped. A Leader has arisen, welding the scattered human settlements together in peace and safety and smashing the enemies of order with an iron fist. In his capital, Dun Add, the Leader provides law and justice. In the universe beyond, his Champions advance—and enforce—the return of civilization. Pal, a youth from the sticks, has come to Dun Add to become a Champion. Pal is a bit of a Maker, and in his rural home he's been able to think of himself as a warrior because he can wield the weapons of the Ancient civilization. Pal has no idea of what he's really getting into in Dun Add. On the other hand, the Leader and Dun Add have no real idea of what might be inside this hayseed with high hopes. THE SPARK: A story of hope and violence and courage. And especially, a story of determination. At the publisher's request, this title is sold without DRM (Digital Rights Management). About The Spark: ". . . entertaining tale combining the feel of Arthurian legend with nifty far-future super science . . ."—Publishers Weekly About David Drake: “Drake deftly weaves a web of political machinations and intrigue that vividly depicts the costs of war. Fans of Patrick O'Brian's Maturin and Aubrey novels will enjoy this intricate, rousing space opera.” —Publishers Weekly “[R]ousing old-fashioned space opera.”—Publishers Weekly “The fun is in the telling, and Mr. Drake has a strong voice. I want more!”—Philadelphia Weekly Press “[S]pace opera is alive and well. This series is getting better as the author goes along…character development combined with first-rate action and memorable world designs.”—SFReader.com “[P]rose as cold and hard as the metal alloy of a tank…rivals Crane and Remarque…”—Chicago Sun-Times “Drake couldn’t write a bad action scene at gunpoint.”—Booklist
Have you ever dreamed of running your own business? Or are you running your own business and wondering how to grow it to the next level? If so, "Spark" was written especially for you. "Spark" will pull you out of the details and enable you to see the business journey from a higher perspective---a perspective that shows you where you are in the journey of the business. You will see that the challenges are just that: challenges, not insurmountable problems. "Spark" tells the story of the journey that gets you from here to there. From an idea to execution. It points out, in context, the lessons that everyone who wants to be successful in business must learn. Using the information in this book, you can learn and grow in the comfort of your living room where there is no cost to changing your mind or making a mistake. "Spark" is a combination of a fast-paced novel with powerful, impactful and eminently executable business lessons. It is rare to find a business book that is this enjoyable to read while being power packed full of knowledge. Our hero, Jack, is about to learn all the lessons of business the hard way so that you don’t have to.
Master the techniques and sophisticated analytics used to construct Spark-based solutions that scale to deliver production-grade data science products About This Book Develop and apply advanced analytical techniques with Spark Learn how to tell a compelling story with data science using Spark's ecosystem Explore data at scale and work with cutting edge data science methods Who This Book Is For This book is for those who have beginner-level familiarity with the Spark architecture and data science applications, especially those who are looking for a challenge and want to learn cutting edge techniques. This book assumes working knowledge of data science, common machine learning methods, and popular data science tools, and assumes you have previously run proof of concept studies and built prototypes. What You Will Learn Learn the design patterns that integrate Spark into industrialized data science pipelines See how commercial data scientists design scalable code and reusable code for data science services Explore cutting edge data science methods so that you can study trends and causality Discover advanced programming techniques using RDD and the DataFrame and Dataset APIs Find out how Spark can be used as a universal ingestion engine tool and as a web scraper Practice the implementation of advanced topics in graph processing, such as community detection and contact chaining Get to know the best practices when performing Extended Exploratory Data Analysis, commonly used in commercial data science teams Study advanced Spark concepts, solution design patterns, and integration architectures Demonstrate powerful data science pipelines In Detail Data science seeks to transform the world using data, and this is typically achieved through disrupting and changing real processes in real industries. In order to operate at this level you need to build data science solutions of substance –solutions that solve real problems. Spark has emerged as the big data platform of choice for data scientists due to its speed, scalability, and easy-to-use APIs. This book deep dives into using Spark to deliver production-grade data science solutions. This process is demonstrated by exploring the construction of a sophisticated global news analysis service that uses Spark to generate continuous geopolitical and current affairs insights.You will learn all about the core Spark APIs and take a comprehensive tour of advanced libraries, including Spark SQL, Spark Streaming, MLlib, and more. You will be introduced to advanced techniques and methods that will help you to construct commercial-grade data products. Focusing on a sequence of tutorials that deliver a working news intelligence service, you will learn about advanced Spark architectures, how to work with geographic data in Spark, and how to tune Spark algorithms so they scale linearly. Style and approach This is an advanced guide for those with beginner-level familiarity with the Spark architecture and working with Data Science applications. Mastering Spark for Data Science is a practical tutorial that uses core Spark APIs and takes a deep dive into advanced libraries including: Spark SQL, visual streaming, and MLlib. This book expands on titles like: Machine Learning with Spark and Learning Spark. It is the next learning curve for those comfortable with Spark and looking to improve their skills.
Take your data engineering skills to the next level by learning how to utilize Scala and functional programming to create continuous and scheduled pipelines that ingest, transform, and aggregate data Key Features Transform data into a clean and trusted source of information for your organization using Scala Build streaming and batch-processing pipelines with step-by-step explanations Implement and orchestrate your pipelines by following CI/CD best practices and test-driven development (TDD) Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMost data engineers know that performance issues in a distributed computing environment can easily lead to issues impacting the overall efficiency and effectiveness of data engineering tasks. While Python remains a popular choice for data engineering due to its ease of use, Scala shines in scenarios where the performance of distributed data processing is paramount. This book will teach you how to leverage the Scala programming language on the Spark framework and use the latest cloud technologies to build continuous and triggered data pipelines. You’ll do this by setting up a data engineering environment for local development and scalable distributed cloud deployments using data engineering best practices, test-driven development, and CI/CD. You’ll also get to grips with DataFrame API, Dataset API, and Spark SQL API and its use. Data profiling and quality in Scala will also be covered, alongside techniques for orchestrating and performance tuning your end-to-end pipelines to deliver data to your end users. By the end of this book, you will be able to build streaming and batch data pipelines using Scala while following software engineering best practices.What you will learn Set up your development environment to build pipelines in Scala Get to grips with polymorphic functions, type parameterization, and Scala implicits Use Spark DataFrames, Datasets, and Spark SQL with Scala Read and write data to object stores Profile and clean your data using Deequ Performance tune your data pipelines using Scala Who this book is for This book is for data engineers who have experience in working with data and want to understand how to transform raw data into a clean, trusted, and valuable source of information for their organization using Scala and the latest cloud technologies.
Master the techniques and sophisticated analytics used to construct Spark-based solutions that scale to deliver production-grade data science products About This Book Develop and apply advanced analytical techniques with Spark Learn how to tell a compelling story with data science using Spark's ecosystem Explore data at scale and work with cutting edge data science methods Who This Book Is For This book is for those who have beginner-level familiarity with the Spark architecture and data science applications, especially those who are looking for a challenge and want to learn cutting edge techniques. This book assumes working knowledge of data science, common machine learning methods, and popular data science tools, and assumes you have previously run proof of concept studies and built prototypes. What You Will Learn Learn the design patterns that integrate Spark into industrialized data science pipelines See how commercial data scientists design scalable code and reusable code for data science services Explore cutting edge data science methods so that you can study trends and causality Discover advanced programming techniques using RDD and the DataFrame and Dataset APIs Find out how Spark can be used as a universal ingestion engine tool and as a web scraper Practice the implementation of advanced topics in graph processing, such as community detection and contact chaining Get to know the best practices when performing Extended Exploratory Data Analysis, commonly used in commercial data science teams Study advanced Spark concepts, solution design patterns, and integration architectures Demonstrate powerful data science pipelines In Detail Data science seeks to transform the world using data, and this is typically achieved through disrupting and changing real processes in real industries. In order to operate at this level you need to build data science solutions of substance –solutions that solve real problems. Spark has emerged as the big data platform of choice for data scientists due to its speed, scalability, and easy-to-use APIs. This book deep dives into using Spark to deliver production-grade data science solutions. This process is demonstrated by exploring the construction of a sophisticated global news analysis service that uses Spark to generate continuous geopolitical and current affairs insights.You will learn all about the core Spark APIs and take a comprehensive tour of advanced libraries, including Spark SQL, Spark Streaming, MLlib, and more. You will be introduced to advanced techniques and methods that will help you to construct commercial-grade data products. Focusing on a sequence of tutorials that deliver a working news intelligence service, you will learn about advanced Spark architectures, how to work with geographic data in Spark, and how to tune Spark algorithms so they scale linearly. Style and approach This is an advanced guide for those with beginner-level familiarity with the Spark architecture and working with Data Science applications. Mastering Spark for Data Science is a practical tutorial that uses core Spark APIs and takes a deep dive into advanced libraries including: Spark SQL, visual streaming, and MLlib. This book expands on titles like: Machine Learning with Spark and Learning Spark. It is the next learning curve for those comfortable with Spark and looking to improve their skills.
This book is a blueprint that will show you how to turn your heartaches, disappointments, tragedies, and life struggles into an instrument of healing for other people. Everyone at some point and time in their life will deal with a pickle (heartache) and an anchor (a pickle that you did not deal with) and turn it into a beautiful key (your story)! When you learn the simple steps within this book of how to transform your pickles and anchors into keys, you will be able to help many people that are struggling with the same pickles and anchors you have.
This important book defines what investigative reporting is and what qualities it requires. Drawing on the experience of many well-known journalists in the field, the author identifies the skills, common factors and special circumstances involved in a wide variety of investigations. It examines how opportunities for investigations can be found and pursued, how informants can be persuaded to yield needed information and how and where this information can be checked. It also stresses the dangers and legal constraints that have to be contended with and shows real life examples such as the Cook Report formula, the Jonathan Aitken investigation and the Birmingham Six story. David Spark, himself a freelance writer of wide experience, examines how opportunities for investigations can be found and pursued, how informants can be persuaded to yield needed information and how and where this information can be checked. He also stresses the dangers and legal constraints that have to be contended with and shows investigators at work in two classic inquiries: · The mysterious weekend spent in Paris by Jonathan Aitken, then Minister of Defence Procurement · The career of masterspy Kim Philby Investigative Reporting looks at such fields for inquiry as company frauds (including those of Robert Maxwell), consumer complaints, crime, police malpractice, the intelligence services, local government and corruption in Parliament and in overseas and international bodies. The author believes that the conclusions that emerge from this far-reaching survey are of value not only in investigative journalism, but to practitioners in all branches of reporting.
This practical guide shows how to facilitate collaboration among diverse individuals and organizations to navigate complexity and create change in our interconnected world. The social and environmental challenges we face today are not only complex, they are also systemic and structural and have no obvious solutions. They require diverse combinations of people, organizations, and sectors to coordinate actions and work together even when the way forward is unclear. Even so, collaborative efforts often fail because they attempt to navigate complexity with traditional strategic plans, created by hierarchies that ignore the way people naturally connect. By embracing a living-systems approach to organizing, impact networks bring people together to build relationships across boundaries; leverage the existing work, skills, and motivations of the group; and make progress amid unpredictable and ever-changing conditions. As a powerful and flexible organizing system that can span regions, organizations, and silos of all kinds, impact networks underlie some of the most impressive and large-scale efforts to create change across the globe. David Ehrlichman draws on his experience as a network builder; interviews with dozens of network leaders; and insights from the fields of network science, community building, and systems thinking to provide a clear process for creating and developing impact networks. Given the increasing complexity of our society and the issues we face, our ability to form, grow, and work through networks has never been more essential.
About the Book Waking up in a world unfamiliar to him, Urist, a dwarf, is forced to create a civilization from scratch. He must build a kingdom on his own to rule the other dwarfs. With Urist being voted as the dwarf to manage the civilization, he has bits and pieces of memories from his old life, helping speed the process of technology for his new civilization. In this story of survival, Urist’s adventure shows that even if life gets hard, it is worth living. About the Author David Spark is active in the Royal Road site posting and talking with aspiring writers. He likes to read, play games, and cook. Spark has special interests in birds and technology.
Teacher David B. Cohen spent a year visiting public schools throughout California, finding out what it takes to bring out the best in students, teachers, and schools. Take a look inside dozens of California classrooms to see what leads to inspired teaching, and what will help more California schools to thrive in the future.
The small-block Chevrolet engine is the most popular engine in the world among performance enthusiasts and racers. But with its popularity come certain problems, and this book is your step-by-step go-to manual.
Take your data engineering skills to the next level by learning how to utilize Scala and functional programming to create continuous and scheduled pipelines that ingest, transform, and aggregate data Key Features Transform data into a clean and trusted source of information for your organization using Scala Build streaming and batch-processing pipelines with step-by-step explanations Implement and orchestrate your pipelines by following CI/CD best practices and test-driven development (TDD) Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMost data engineers know that performance issues in a distributed computing environment can easily lead to issues impacting the overall efficiency and effectiveness of data engineering tasks. While Python remains a popular choice for data engineering due to its ease of use, Scala shines in scenarios where the performance of distributed data processing is paramount. This book will teach you how to leverage the Scala programming language on the Spark framework and use the latest cloud technologies to build continuous and triggered data pipelines. You’ll do this by setting up a data engineering environment for local development and scalable distributed cloud deployments using data engineering best practices, test-driven development, and CI/CD. You’ll also get to grips with DataFrame API, Dataset API, and Spark SQL API and its use. Data profiling and quality in Scala will also be covered, alongside techniques for orchestrating and performance tuning your end-to-end pipelines to deliver data to your end users. By the end of this book, you will be able to build streaming and batch data pipelines using Scala while following software engineering best practices.What you will learn Set up your development environment to build pipelines in Scala Get to grips with polymorphic functions, type parameterization, and Scala implicits Use Spark DataFrames, Datasets, and Spark SQL with Scala Read and write data to object stores Profile and clean your data using Deequ Performance tune your data pipelines using Scala Who this book is for This book is for data engineers who have experience in working with data and want to understand how to transform raw data into a clean, trusted, and valuable source of information for their organization using Scala and the latest cloud technologies.
This step-by-step guide can set you free by breaking the chains of your past and helping you to embrace a bright new future. By making simple changes in your everyday world, you can make a huge difference to your life.
Complete guidelines to developing and maintaining the most effective, environment-friendly irrigation systems for golf courses Golf Course Irrigation offers valuable insight on the design, installation, management, and maintenance of irrigation systems-the most important management tool used on today's golf courses. Without manufacturers' bias, this useful resource provides hands-on guidance to the highest quality irrigation systems, including specifications and applications of the best pump stations, controllers, sprinkler heads, nozzles, valves, sensors, and other components that make the difference in top-quality irrigation systems. Typically regarded as significant users of water, golf courses are under increasing scrutiny by governmental and environmental groups, making it essential that the up-to-date information found here-on such topics as water supply, plant irrigation requirements, application uniformity, and construction management-be at the fingertips of every golf course professional. While fostering the best playing conditions, these systems conserve water and energy with such technology as low-pressure heads and controls that use "if/then" logic to automatically adjust to changing conditions, which can improve playability while saving money. Golf Course Irrigation is a practical tool to help golf course architects, builders, superintendents, irrigation consultants, designers, and installers to improve aesthetics and playing conditions in the face of diminishing natural resources. It is also an informative reference for golf course owners, developers, local officials, students, and fans of the game.
Our Eternal Existence takes the many disparate scientific, religious, and metaphysical principles into account and answers the questions: Who are we? Where are we? and Why are we here? In so doing, it provides a much-needed ethical philosophy to guide mankind - and a personal methodology to improve our lives.
Oracle Database 12c running on Linux is available for deployment on IBM® LinuxONE. The enterprise-grade Linux on LinuxONE solution is designed to add value to Oracle Database solutions, including the new functions that are introduced in Oracle Database 12c. In this IBM Redbooks® publication, we explore the IBM and Oracle Alliance and describe how Oracle Database benefits from LinuxONE. We then explain how to set up Linux guests to install Oracle Database 12c. We also describe how to use the Oracle Enterprise Manager Cloud Control Agent to manage Oracle Database 12c Release 1. Additionally, we discuss encryption for Oracle using Oracle Transparent Data Encryption (TDE) on Oracle 12c Release 2. We also describe a successful consolidation project from sizing to migration, performance management topics, and high availability. Finally, we end with a chapter about surrounding Oracle with Open Source software. The audience for this publication includes database consultants, installers, administrators, and system programmers. This publication is not meant to replace Oracle documentation, but to supplement it with our experiences while installing and using Oracle products.
Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself. With this practical guide, you’ll explore ways to apply machine learning to security issues such as intrusion detection, malware classification, and network analysis. Machine learning and security specialists Clarence Chio and David Freeman provide a framework for discussing the marriage of these two fields, as well as a toolkit of machine-learning algorithms that you can apply to an array of security problems. This book is ideal for security engineers and data scientists alike. Learn how machine learning has contributed to the success of modern spam filters Quickly detect anomalies, including breaches, fraud, and impending system failure Conduct malware analysis by extracting useful information from computer binaries Uncover attackers within the network by finding patterns inside datasets Examine how attackers exploit consumer-facing websites and app functionality Translate your machine learning algorithms from the lab to production Understand the threat attackers pose to machine learning solutions
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