The drug discovery process is hugely data-intensive, making it an ideal application for artificial intelligence (AI) and machine learning. But…

Working for over two decades in Business Intelligence and Analytics nothing has bothered me more than being tied to a relational model.

Augmented analytics tools, NLP search and graph analytics are the top trends for 2019 and beyond. Experts say augmented analytics and NLP are transforming how enterprises consume data and derive in...

AWS Data Migration Service (DMS) now supports migrating graph data from relational sources to Amazon Neptune. The AWS Database Migration Service (AWS DMS) enables you to migrate data from one data source to another. Using relational databases as source and Neptune as destination allows customers to copy their connected data into Neptune for graph queries.   Customers using both relational and graph databases today manually load their data into Neptune. DMS minimizes the manual effort to carry out the workflow. Using DMS, you can configure a destination endpoint to existing Neptune databases. DMS will carry out a full copy of data from relational databases to Neptune. The DMS workflow allows you to target either a RDF model or a property graph model by specifying the appropriate mapping file for each data model. DMS version 3.3.2 supports Amazon Neptune as the destination endpoint. You can configure DMS using the AWS Management Console, AWS SDK or CLI. You will be ch

The Azure Cosmos DB team is excited to announce version 3.0 of the .NET SDK, now in public preview and open sourced on GitHub!

Cosmos DB's entry level pricing has come way down, opening up the service to a much broader audience. And Azure Machine Learning gets new versatility, including usability from virtually all Python-language programming environments.

We're excited to announce the public release of Akutan, a distributed knowledge graph store, under the Apache 2.0 open source license. Akutan is the result of four person-years of exploration and engineering effort, so there's a lot to unpack here! This post will discuss what Akutan is, how it's implemented, and why we've chosen to release it as open source.

Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. Neptune supports the W3C’s graph model RDF, and its query language SPARQL. SPARQL 1.1 Federated Query specifies an extension to SPARQL for running queries distributed over different SPARQL endpoints.

Read this blog to learn how graphs revolutionized how hackers attack, and how SpecterOps uses Neo4j to access a company's cybersecurity measures.

MP voting records are public record in the UK, detailed #data is available about how each MP has voted in each bill @PublicWhip collect data & make it accessible @joshua_e_k explores how to use a #GraphDatabase to look at MP’s voting record similarity

A blog about my work and fun with Neo4j, the world's leading graph database platform.

At Build 2019 this week, Microsoft introduced support for a Spark API that will enable Cosmos DB to support hybrid transaction and analytic processing workloads (HTAP).

Blockchains are often complemented by databases, but in some scenarios, a database solution like Azure Cosmos DB can supply the core characteristics of the blockchain itself. Whether you’re looking...

2 together with its impact on human health. One aspect of this is organizing existing and emerging information about viral and host cell molecular biology, disease epidemiology, phenotypic progression, and effect of drugs and other treatments in individuals.

start your development. The following diagrams illustrate the collection of data around a given user, such as device identifiers, cookies, browse

Presentation Summary

It seems like every crime show includes a few scenes where we see that the detective has built a wall of pictures, newspaper clippings, index cards and other interesting documents, linking all these things together through a network of string and push pins. This linked data allows them to step back and see how the facts relate and helps provide the bigger picture of what happened and how to solve it. Seeing the bigger picture allows detectives to use inductive and deductive reasoning to pursue leads,identify gaps in their knowledge and continue the investigation in ways they may not have seen before.The crime wall is a physical representation of knowledge or context. The crime wall helps investigators see the relationships and understand the true meaning of the facts surrounding a case. Understanding context can lead to accelerated insights and increase the productivity of the detectives. In the digital world, we can represent knowledge through similar techniques. We call this di

This article takes an in-depth look at building enterprise performance into a graph database and also explores graph databases.

Leveraging the Neo4j Community Graph For Social Discovery

Built-in Jupyter notebooks for Azure Cosmos DB are now publicly available. Developers, data scientists, engineers and analysts can use the familiar Jupyter notebooks experience to interactively run...

Looking for a way to connect your BI solution with ArangoDB? Qlik, Tableau, Power BI or Grafana

Mixing graph and relational data is now even more accessible. What does this mean for analytics, and for graph databases specifically?

When extracting information from documents using NLP, attempting to separate important terms from noise can be tricky. Calculating a TF-IDF (Term Frequency-Inverse Document Frequency) score allows you to identify the important terms in a document.

BOSTON (PRWEB) March 25, 2019 Cambridge Semantics, the leading provider of modern data discovery and integration software for enterprise data fabrics, today announced the addition of OpenCypher t

BOSTON (PRWEB) January 31, 2019 Cambridge Semantics, the leading provider of big data management and enterprise analytics software, today announces availability of its AnzoGraph Graph warehouse (

BOSTON (PRWEB) January 23, 2019 Cambridge Semantics, the leading provider of big data management and enterprise analytics software, announced that its AnzoGraph Graph Database product was rated h

Cambridge Semantics AnzoGraph Recognized as 2019 Trend-Setting Product - Cambridge Semantics

Many graph applications can benefit from the ability to capture changes to items stored in an Amazon Neptune database, at the point in time when such changes occur. Amazon Neptune now supports Neptune Streams, a fully managed feature of Neptune that reliably logs every change to your graph as it happens, in the order that […]

Roundup of #AWS Neptune #graphDB recent announcements, plus insights by @TonyBaer: Given much data, #IoT #socialnetworks etc, captured by graphs lives outside #datacenter, one more reason #cloud should be natural home for graph #databases. Getting there

My new paper on ontologies in Data and SW engineering https://t.co/jqQAEMZbEl @nimonika— Christian Dirschl (@HaintzD) January 3, 2019