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Gartner Hype Cycle for Back-Office Analytic Applications, 2019

Cambridge Semantics is included as a sample vendor in Gartner’s September 2019 “Hype Cycle for Back-Office Analytic Applications”.

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Gartner Data & Analytics Summit 2019 Frankfurt

Join us in Frankfurt, Germany, November 19 – 20, 2019, at the Kap Europa Congress Center for Gartner Data & Analytics Summit. Use discount code GSDADE41 for a €325 discount off the standard registration rate.

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Data Day Texas 2020

Join us on January 25, 2020 in Austin, Texas, for Data Day Texas 2020! Originally launched in 2011 as one of the first NoSQL / Big Data conferences, Data Day Texas each year highlights the latest tools, techniques, and projects in the data space.

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Webinar: Graph Databases on the Edge

This code-lite session by Dataversity being held on Dec. 12th at 2 pm ET is a primer on graph databases and the relationship data stored in them for the analytics architect in the enterprise. It will help you determine why, how, and where to apply graphs, and how to get started.

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2020 Trends in Cloud Computing: the Epicenter of Cloud Native Architecture

Cambridge Semantics’ CTO, Sean Martin, weighs in on the advantages of containers and data fabrics in cloud native architectures.

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Three Myths of Graph Databases

In this Medium article, Steve Sarsfield, our VP Product, AnzoGraph, writes about some common misperceptions surrounding graph databases and corrects the record regarding them.

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Cambridge Semantics to Present at Connected Data London 2019

Cambridge Semantics’ Alok Prasad, President, and Thomas Cook, Director of Sales, will co-present, “Graph Database Use Cases: Why and How Graph is Being Used for Data Harmonization and Analytics” at Connected Data London 2019 on October 4th at 3:10 p.m.

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The New Emerging Modern Data Infrastructure for Artificial Intelligence and Machine L …

Cambridge Semantics’ CTO, Sean Martin, writes in this article for Dataversity about how a Data Fabric architecture is the perfect data infrastructure for profiling, transforming, and preparing data for AI systems predicated on machine learning.

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Probing Data’s Middle Ground

This Datanami article discusses how the rise of data lakes has exposed a gap between databases, files and other data repositories and the ability to view, analyze and leverage that data. The solution is Anzo, which has the ability to ingest multiple data types stored in a variety of batch and streaming platforms to create a “data fabric” of all the data.

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The Data Fabric Journey: Cutting to the Chase with Anzo

This Whitepaper by the Bloor Group explores how Anzo can help your organization successfully navigate the journey to a fully implemented Enterprise Data Fabric.

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Comparing Graph Databases II

In his second article for Towards Data Science discussing graph databases Sam Bell discusses AnzoGraph DB, along with two more graph databases.

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The Magic of Kubernetes: AI and Burst Computing

This article in AI Business discusses using Kubernetes and containers to accommodate surging demands in cloud resources as they occur, with insights from a number of thought leaders, including Sean Martin, Cambridge Semantics’ CTO.

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