{"product_id":"the-practitioners-guide-to-graph-data-applying-graph-thinking-and-graph-technologies-to-solve-complex-problems-9781492044079","title":"The Practitioner's Guide to Graph Data: Applying Graph Thinking and Graph Technologies to Solve Complex Problems","description":"\u003cp\u003eGraph data closes the gap between the way humans and computers view the world. While computers rely on static rows and columns of data, people navigate and reason about life through relationships. This practical guide demonstrates how graph data brings these two approaches together. By working with concepts from graph theory, database schema, distributed systems, and data analysis, you'll arrive at a unique intersection known as \u003ci\u003egraph thinking\u003c\/i\u003e.\u003c\/p\u003e\u003cp\u003eAuthors Denise Koessler Gosnell and Matthias Broecheler show data engineers, data scientists, and data analysts how to solve complex problems with graph databases. You'll explore templates for building with graph technology, along with examples that demonstrate how teams think about graph data within an application.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eBuild an example application architecture with relational and graph technologies\u003c\/li\u003e\n\u003cli\u003eUse graph technology to build a Customer 360 application, the most popular graph data pattern today\u003c\/li\u003e\n\u003cli\u003eDive into hierarchical data and troubleshoot a new paradigm that comes from working with graph data\u003c\/li\u003e\n\u003cli\u003eFind paths in graph data and learn why your trust in different paths motivates and informs your preferences\u003c\/li\u003e\n\u003cli\u003eUse collaborative filtering to design a Netflix-inspired recommendation system\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e \u003ca href=\"https:\/\/correctionsbookstore.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=AUTH-12663052\"\u003eDenise Gosnell\u003c\/a\u003e, \u003ca href=\"https:\/\/correctionsbookstore.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=AUTH-12663053\"\u003eMatthias Broecheler\u003c\/a\u003e\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e O'Reilly Media\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 04\/21\/2020\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 420\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.47lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.19h x 7.00w x 0.86d\u003cbr\u003e\u003cb\u003eISBN13:\u003c\/b\u003e 9781492044079\u003cbr\u003e\u003cb\u003eISBN10:\u003c\/b\u003e 1492044075\u003cbr\u003e\u003cb\u003eBISAC Categories:\u003c\/b\u003e\u003cbr\u003e- \u003ca href=\"https:\/\/correctionsbookstore.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=CAT-COM\"\u003eComputers\u003c\/a\u003e | \u003ca href=\"https:\/\/correctionsbookstore.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=BISAC-COM004000\"\u003eArtificial Intelligence | General\u003c\/a\u003e\u003cbr\u003e- \u003ca href=\"https:\/\/correctionsbookstore.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=CAT-COM\"\u003eComputers\u003c\/a\u003e | \u003ca href=\"https:\/\/correctionsbookstore.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=BISAC-COM021030\"\u003eData Science | Data Analytics\u003c\/a\u003e\u003cbr\u003e- \u003ca href=\"https:\/\/correctionsbookstore.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=CAT-COM\"\u003eComputers\u003c\/a\u003e | \u003ca href=\"https:\/\/correctionsbookstore.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=BISAC-COM089000\"\u003eData Science | Data Visualization\u003c\/a\u003e\u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eDr. Denise Gosnell's passion for examining, applying, and evangelizing the applications of graph data was ignited during her apprenticeship under Dr. Teresa Haynes and Dr. Debra Knisley during her first NSF Fellowship. This group's work was one of the earliest applications of neural networks and graph theoretic structure in predictive computational biology. Since then, Dr. Gosnell has built, published, patented, and spoke on dozens of topics related to graph theory, graph algorithms, graph databases, and applications of graph data across all industry verticals.\u003c\/p\u003e\u003cp\u003eCurrently, Dr. Gosnell is with DataStax where she aspires to build upon her experiences as a data scientist and graph architect. Prior to her role with DataStax, she built software solutions for and spoke at over a dozen conferences on permissioned blockchains, machine learning applications of graph analytics, and data science within the healthcare industry.\u003c\/p\u003e\u003cp\u003eDr. Matthias Broecheler is a technologist and entrepreneur with substantial research anddevelopment experience who is focused on disruptive software technologies and understanding complex systems. Dr. Broecheler's is known as an industry expert in graph databases, relational machine learning, and big data analysis in general. He is a practitioner of lean methodologies and experimentation to drive continuous improvement. Dr. Broecheler is the inventor of the Titan graph database and a founder of Aurelius.\u003c\/p\u003e","brand":"O'Reilly Media","offers":[{"title":"Default Title","offer_id":45876728561839,"sku":"9781492044079","price":79.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0651\/9255\/8767\/files\/img_e07b2d74-bbc0-4a13-aebc-47a8fc326581.jpg?v=1757694626","url":"https:\/\/www.correctionsbookstore.com\/es\/products\/the-practitioners-guide-to-graph-data-applying-graph-thinking-and-graph-technologies-to-solve-complex-problems-9781492044079","provider":"Corrections Bookstore ","version":"1.0","type":"link"}