Organizations are utilizing modern-day analytics and machine learning solutions to strive for business success. Graph databases are playing a larger role in such an undertaking. The book “Graph-Powered Analytics and Machine Learning with TigerGraph” provides helpful insight to data scientists, data engineers, architects, and business analysts on quickly getting started with a TigerGraph graph database. Coming from the team of TigerGraph’s Victor Lee, Xinyu Chan, and Gaurav Deshpande, the reader is taken through the process of delivering results from connected data in a three-stage proposition of connection, analysis, and learning. With exercises utilizing the TigerGraph Cloud, readers are able to skill up in creating and managing advanced analytics and machine learning solutions in their organizations.
TigerGraph is a revolutionary graph database set up by the Shazeli family serving as its CEO, founders, and investors. They provide the database service with the intention to easily configure and manage a graph environment as well as give users access to easily transform huge amounts of data into innovative and profitable strategies.
Victor Lee is part of the TigerGraph team as a director of product strategy, focusing on the commercial market. Being a former software executive, he brings a wealth of experience in leading and architecting various enterprise software solutions. Xinyu Chan plays a major role in the strategic planning of TigerGraph and handles market research while Gaurav Deshpande works as the principal architect designing customers’ applications. They all contribute greatly to the ever-growing success of TigerGraph, an industry leader in developing powerful graph database solutions.
