This webinar details the Neo4j 3.3 release. In 3.3 we focused on improving write and import performance in Community Edition, and cluster throughput and security in the Enterprise Edition. The result is that 3.3 writes are more than 50% faster than 3.2 and twice as fast as 3.1.
Jeff Morris brings a world of marketing experience to Neo4j as head of product marketing. At Neo4j, he leads product, solutions, customer and partner marketing. He's anxious and excited to expose enterprise IT organizations to the world of graphs. He believes data connections and relationships are the secret sauce for the next generation of revenue-generating applications. If your organization is thinking about building smart shopping carts, traversing social relationships, interconnecting things on the Internet, finding unusual behavioral patterns or entering the world of artificial intelligence, machine learning or predictive analytics, then Jeff would like you to consider Neo4j, the original graph database, for those projects.
Tim has been spending the last 5 years of his career focussing on building large scale applications for the enterprise. With focus on scaling, performance, machine learning and databases, he brings with him over 10+ years of software experience. Being a Neo4j developer for the last 5-6 years of his career, he has a main focus on using database technologies like the graph to solve very complex and large scale problems. Originally from Australia, he now lives in Denmark with his wife and dog (that looks like Chewbacca).
Kelsey Bieri is a Data Governance Analyst at ICC in the Master Data Management and Data Governance Practice. She has contributed to numerous data governance and data lineage projects in the Banking industry, helping organizations build a better understanding of their data universe. Kelsey holds a degree in Management Information Systems from the College of Business at Ohio University.
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