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

Coloring a Sudoku graph with #Neo4j #opensource #GraphDB. The K-1 coloring #algorithm in Neo4j's latest release tries to assign colors to the nodes of a graph in such a way that adjacent nodes are different colors. #datascience #software #data #tech

Money laundering is among the hardest activities to detect in the world of financial crime. Funds move in plain sight through standard financial instruments, transactions, intermediaries, legal entities and institutions – avoiding detection by banks and law enforcement. The costs in regulatory fines and damaged reputation for financial institutions are all too real. Neo4j provides an advanced, extensible foundation for fighting money laundering, reducing compliance costs and protecting brand value.

answering service — among other things.Expanding a knowledge graph often involves integrating it with another knowledge graph. But different graphs may use different terms for the same entities, which can lead to errors and inconsistencies during integration. Hence the need for automated techniques of entity alignment, or determining which elements of different graphs refer to the same entities.In a paper accepted to the Web Conference, my colleagues and I describe a new entity alignment technique that factors in information about the graph in the vicinity of the entity name. In tests involving the in

Comparing #GraphDatabases by reading @G2dotcom #reviews. Reasonable as a 1st approach, #reviews are just one #datasource to be used for such a compex decision. Take them with a grain of salt, use your own experience/education/benchmarks, consult experts

Analysing Load and Query Times across DBPedia and Yago

wide crawlers can crawl the exact same pages and pull out extensively different data.

The index to the multiple installments in the 'Cooking with Python and KBpedia' (CWPK) series.

This post will showcase the use of cosine similarity algorithm in Neo4J and also provide examples in addition to the available…

We're currently building a Data Governance Platform product that enables UK Financial Services organisations to discover and manage the life-cycle, usage, risk and compliance requirements of data asse