Graph Databases in Action introduces you to graph database concepts by comparing them with relational database constructs. You'll learn just enough theory to get started, then progress to hands-on development. Discover use cases involving social networking, recommendation engines, and personalization. Summary Relationships in data often look far more like a web than an orderly set of rows and columns. Graph databases shine when it comes to revealing valuable insights within complex, interconnected data such as demographics, financial records, or computer networks. In Graph Databases in Action, experts Dave Bechberger and Josh Perryman illuminate the design and implementation of graph databases in real-world applications. You'll learn how to choose the right database solutions for your tasks, and how to use your new knowledge to build agile, flexible, and high-performing graph-powered applications! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Isolated data is a thing of the past! Now, data is connected, and graph databases—like Amazon Neptune, Microsoft Cosmos DB, and Neo4j—are the essential tools of this new reality. Graph databases represent relationships naturally, speeding the discovery of insights and driving business value. About the book Graph Databases in Action introduces you to graph database concepts by comparing them with relational database constructs. You'll learn just enough theory to get started, then progress to hands-on development. Discover use cases involving social networking, recommendation engines, and personalization. What's inside Graph databases vs. relational databases Systematic graph data modeling Querying and navigating a graph Graph patterns Pitfalls and antipatterns About the reader For software developers. No experience with graph databases required. About the author Dave Bechberger and Josh Perryman have decades of experience building complex data-driven systems and have worked with graph databases since 2014. Table of Contents PART 1 - GETTING STARTED WITH GRAPH DATABASES 1 Introduction to graphs 2 Graph data modeling 3 Running basic and recursive traversals 4 Pathfinding traversals and mutating graphs 5 Formatting results 6 Developing an application PART 2 - BUILDING ON GRAPH DATABASES 7 Advanced data modeling techniques 8 Building traversals using known walks 9 Working with subgraphs PART 3 - MOVING BEYOND THE BASICS 10 Performance, pitfalls, and anti-patterns 11 What's next: Graph analytics, machine learning, and resources
Brad Meltzer and Josh Mensch, the bestselling authors of The First Conspiracy, which covers the secret plot against George Washington, now turn their attention to a little-known, but true story about a failed assassination attempt on the sixteenth president in The Lincoln Conspiracy. Everyone knows the story of Abraham Lincoln’s assassination in 1865, but few are aware of the original conspiracy to kill him four years earlier in 1861, literally on his way to Washington, D.C., for his first inauguration. The conspirators were part of a white supremacist secret society that didn’t want an abolitionist in the White House. They planned an elaborate scheme to assassinate the President-elect in Baltimore as Lincoln’s inauguration train passed through, en route to the nation's capital. The plot was investigated by famed detective Allan Pinkerton, who infiltrated the group with undercover agents, including Kate Warne, one of the first female private detectives in America. Had the assassination succeeded, there would have been no Lincoln Presidency and the course of the Civil War and American history would have forever been altered.
It’s My Time is a story of God using life’s circumstances and events to shape his people. Josh Phillips grew up in a Christian home as the youngest of seven, with dreams of following in his dad’s footsteps, playing professional football. His competitive drive and work ethic paved the way for some championship moments; however, each step toward his goal of professional football brought additional obstacles. Josh wrestled with God’s plans for his life and questioned his purpose amidst each trial. But through it all, God was faithful—and continues to be in every moment. It’s My Time is designed for readers to journey into spiritual transformation. Josh Phillips encourages believers to delve into applicable scripture and ponder how God’s hand is at work in their own lives. A unique feature at the end of each chapter, the Red Zone Check, encourages personal reflection on God’s role as author of each person’s story.
The extent of mental illness concerns in the workforce is becoming increasingly apparent. Stress, depression, anxiety, workplace bullying and other issues are costing businesses billions every year in lost productivity, poor treatments and employee retention. Unless appropriately addressed, issues related to mental illness difficulties will result in stiff financial, organizational, and human costs for organizations. Drawing on empirical evidence from North America, the United Kingdom, Australia and New Zealand, the book provides a practical guide to identifying, understanding, treating and preventing individual and organizational mental health issues. The authors illustrate how organizations can save money and improve the health and wellbeing of their employees by using a psychological disability management approach in the treatment and accommodation of mental illness issues. This book will meet the needs of human resources professionals, administrators of employee assistance programs, industrial and organizational psychologists, mental health practitioners, those teaching or studying psychology and disability management, and more generally will serve to enlighten students of business management and practicing managers regarding a major workforce risk factor.
Graph Databases in Action introduces you to graph database concepts by comparing them with relational database constructs. You'll learn just enough theory to get started, then progress to hands-on development. Discover use cases involving social networking, recommendation engines, and personalization. Summary Relationships in data often look far more like a web than an orderly set of rows and columns. Graph databases shine when it comes to revealing valuable insights within complex, interconnected data such as demographics, financial records, or computer networks. In Graph Databases in Action, experts Dave Bechberger and Josh Perryman illuminate the design and implementation of graph databases in real-world applications. You'll learn how to choose the right database solutions for your tasks, and how to use your new knowledge to build agile, flexible, and high-performing graph-powered applications! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Isolated data is a thing of the past! Now, data is connected, and graph databases—like Amazon Neptune, Microsoft Cosmos DB, and Neo4j—are the essential tools of this new reality. Graph databases represent relationships naturally, speeding the discovery of insights and driving business value. About the book Graph Databases in Action introduces you to graph database concepts by comparing them with relational database constructs. You'll learn just enough theory to get started, then progress to hands-on development. Discover use cases involving social networking, recommendation engines, and personalization. What's inside Graph databases vs. relational databases Systematic graph data modeling Querying and navigating a graph Graph patterns Pitfalls and antipatterns About the reader For software developers. No experience with graph databases required. About the author Dave Bechberger and Josh Perryman have decades of experience building complex data-driven systems and have worked with graph databases since 2014. Table of Contents PART 1 - GETTING STARTED WITH GRAPH DATABASES 1 Introduction to graphs 2 Graph data modeling 3 Running basic and recursive traversals 4 Pathfinding traversals and mutating graphs 5 Formatting results 6 Developing an application PART 2 - BUILDING ON GRAPH DATABASES 7 Advanced data modeling techniques 8 Building traversals using known walks 9 Working with subgraphs PART 3 - MOVING BEYOND THE BASICS 10 Performance, pitfalls, and anti-patterns 11 What's next: Graph analytics, machine learning, and resources
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