talk-data.com

Learn how graph algorithms can help you leverage relationships within your data to develop intelligent solutions and enhance your machine learning models. With this practical guide,developers and data scientists will discover how graph analytics deliver value, whether they’re used for building dynamic network models or forecasting real-world behavior. Mark Needham and Amy Hodler from Neo4j explain how graph algorithms describe complex structures and reveal difficult-to-find patterns—from finding vulnerabilities and bottlenecksto detecting communities and improving machine learning predictions. You’ll walk through hands-on examples that show you how to use graph algorithms in Apache Spark and Neo4j, two of the most common choices for graph analytics. Learn how graph analytics reveal more predictive elements in today’s data Understand how popular graph algorithms work and how they’re applied Use sample code and tips from more than 20 graph algorithm examples Learn which algorithms to use for different types of questions Explore examples with working code and sample datasets for Spark and Neo4j Create an ML workflow for link prediction by combining Neo4j and Spark

Raise your hand if you work for a company that sells exclusively low-consideration products and only sells them online. Anyone? Anyone? We only see a couple of hands out there. For all the rest of you, this episode might be of interest. We sat down with Amy Sample — Senior Director of Consumer Insights and Strategy at PBS by day, president of the DAA board by night — to discuss approaches for effective digital measurement in the absence of a clear online conversion. That challenge doesn't get much bigger than in the mission-driven, not-for-profit world of public television! After listening to this episode, you may actually feel like you have it easy! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.  

“Riordan covers core skills for any developer—database design and development—in a perfect amount of detail. This book should be on every professional developer’s reading list.” — Duncan Mackenzie, developer, Microsoft (MSDN) “Designing a database is not a trivial subject. Riordan brings experience and clear explanations to a fundamental part of software development.” — Patrick Birch, database and technical writing consultant “If you buy only one book on database design, make it this one. Riordan has a talent for explaining technical issues in simple language, without over simplifying.” — Brendan Reynolds, developer, Dataset IT Systems and Microsoft Access MVP “A book that will expertly guide you in how to develop a database for a client— and how to do it right the first time!” — Kenneth D. Snell, Ph.D., ACCESS developer and Microsoft Access MVP “Riordan has produced a unique book that brings together a formal, yet commonsense, approach to relational database design...and then goes further! Many database designers will find immense value in the steps to developing practical data warehouse designs. If you are seeking a framework for designing transactional databases, or want to step out into the world of analytical databases, Riordan’s book excels at bridging both worlds.” — Paul Irvine, vice president, engineering, Via Training “Riordan takes a complex subject and makes it easy. If you’re over your head on a database design project, this book will help bail you out!” — Mike Gunderloy, contributing editor, Application Development Trends “This book covers a wide range of database design and data modeling topics in a well-organized, easy to understand format.” — Amy Sticksel, Sticksel Data Systems, Inc. “In Riordan’s style, wit, and attention to detail are outstanding.” Designing Effective Database Systems, — Sandra Daigle, Microsoft Access MVP The Software Developer’s Step-by-Step Guide to Database Design World-renowned expert Rebecca M. Riordan has written the definitive database design book for working developers who aren’t database experts. No matter how messy or complex your data challenge, shows you how to design an effective, high-performance database to solve it. Designing Effective Database Systems Riordan begins by thoroughly demystifying the principles of relational design, making them accessible to every professional developer. Next, she offers the field’s clearest introduction to dimensional database modeling—practical insight for designing today’s increasingly important analytical applications. One task at a time, the author illuminates every facet of database analysis and design for both traditional databases and the dimensional databases used for data warehousing, showing how to avoid common architectural pitfalls that complicate development and reduce extensibility. The book concludes with comprehensive, expert guidance on designing databases for maximum usability. This book will teach you to Understand relational database models, structures, relationships, and data integrity principles Define database system goals, criteria, scope, and work processes Construct accurate conceptual models: relationships, entities, domain analysis, and normalization Build efficient, secure database schema Master the elements of online analytical processing (OLAP) design: fact tables, dimension tables, snowflaking, and more Architect and construct easy, efficient interfaces for querying and reporting Learn from practice examples based on Microsoft’s Northwind sample database Riordan has helped thousands of professionals master database design and development, earning Microsoft’s coveted MVP honor for her exceptional contributions. Nobody is more qualified to help you master database design and apply it in your real-world environment.