Essential Criteria of Graph Databases (eBook)

Although AI has incredible potential, it has three weak links: 1. Blackbox, lack of explainability2. Silos, slews of siloed systems across the AI ecosystem3. Low-performance, most of ML/DL based AI systems are SLOW.Fixing these problems will pave the road to strong and effective AI. Graph databases, particularly high-performance graph database or graph computing, should allow this to happen.The Essential Criteria of Graph Databases simply broadens the horizon of graph applications. The book collects several truly innovative graph applications in asset-liability and liquidity risk management, which hopefully will spark readers' interest in further broaden the reach and applicable domains of graph systems. - Presents updates on the essential criteria of graph database(s) and how they are quite different from traditional relational database or other types of NoSQL DBMS or any of those big-data frameworks (i.e., Hadoop, Spark, etc.) - Clearly points out the key criteria that readers should pay attention to - Teaches users how to avoid common mistakes and how to get hands-on with system architecture design, benchmarking or selection of an appropriate graph platform/vendor-system

Mr. Ricky Sun is a serial entrepreneur, world-class high-performance storage and computing system expert; he started his career in the heart of Silicon Valley with his professor a year before his graduation from Santa Clara University. Over the past 20+ years, he went through 3 M&A, while Ultipa is his 4th venture. Ricky was formally CTO of EMC Asia R&D center, managing director of EMC Labs China, Chief architect of Splashtop, a Pre-IPO unicorn startup that builds real-time operating system Splasthop OS which directly inspired Google's Chrome OS, and real-time remote desktop SaaS products. Ricky was also the CEO of Allhistory the first ever knowledge-graph powered high-dimensional causality search engine and highly visualized knowledge-base (now part of iHuman, a publicly traded online education services company).Ricky launched Ultipa with the belief and aim that computing should be 1st class citizen just as storage is, and real-time graph database is the ultimate form of database that empowers smart enterprise with graph augmented intelligence. Ricky has been a long-time antique china (pun-intended) collector and is a committee member of Harvard Arts Museums Asian Arts Curatorial Committee. Ricky is the holder of more than 50 U.S/CN patents, and author of 9 books including The 99 Points for Launching High-Tech Business, The Essential Criteria of Cloud Computing and Big Data, The Programmer's Survival Handbook, The Software Defined Data Center, etc. Ricky graduated from SCU, majored in MSCE with distinction, and BSCS from Tsinghua University

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Although AI has incredible potential, it has three weak links: 1. Blackbox, lack of explainability2. Silos, slews of siloed systems across the AI ecosystem3. Low-performance, most of ML/DL based AI systems are SLOW.Fixing these problems will pave the road to strong and effective AI. Graph databases, particularly high-performance graph database or graph computing, should allow this to happen.The Essential Criteria of Graph Databases simply broadens the horizon of graph applications. The book collects several truly innovative graph applications in asset-liability and liquidity risk management, which hopefully will spark readers' interest in further broaden the reach and applicable domains of graph systems. - Presents updates on the essential criteria of graph database(s) and how they are quite different from traditional relational database or other types of NoSQL DBMS or any of those big-data frameworks (i.e., Hadoop, Spark, etc.)- Clearly points out the key criteria that readers should pay attention to- Teaches users how to avoid common mistakes and how to get hands-on with system architecture design, benchmarking or selection of an appropriate graph platform/vendor-system