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Friday, February 26, 2016

Understanding DETACH DELETE in Cypher

DETACH DELETE in Cypher is an example of why Cypher is one of my favorite ways of interacting with the Neo4j graph database. The declarative graph query language is constantly evolving to ease the requirements of querying Neo4j. This benefit in ease of interaction, however, can often further remove the query writer from needing to understand the inner Read More......

Pairing Neo4j ElasticSearch: The Basics

There are a number of ways of integrating Neo4j with ElasticSearch. One common way was through the use of the Rivers plugin, but that was deprecated in ElasticSearch 1.5 and will likely be fully removed shortly after ElasticSearch 2.0. Going forward any integration will require a more sophisticated integration to index the desired nodes and relationships from Neo4j to ElasticSearch.
For those that don’t know, ElasticSearch is an open source search server based on Lucene that provides a Read More......

Graph Advantage: Master Data Management

Master Data Management (MDM) is an increasingly complex topic for organizations today. The rate at which data in an enterprise to is flowing and evolving as a business asset, requires a the need for a more flexible and connection-centric master data storage solution. Master Data Management, is a practice that involves discovering, cleaning, housing, and governing data. Data architects for enterprises require a data Read More......

Connected Data Analytics: Basics

As organizations adopt graph databases, their available connected data will grow, which will drive the need for analytics to leverage the connected data as a core component of their analysis. The key to unlocking new insights is to leverage the connectedness of the data as part of a graph analytics solution. Through graph analytics enterprises have gained competitive advantages because they are now discovering the cause, effect, and influence of certain patterns Read More......

Wednesday, February 17, 2016

Graph Advantage: Fraud Detection

Graph Advantage: Fraud Detection

Financial institutions and insurance firms with traditional fraud detection capabilities lose billions of dollars to fraud. Traditional approaches in detecting fraud play a critical aspect in minimizing financial losses. However, an increasing number of fraudsters have created different methods to avoid being discovered. In order to gain the upper hand again these financial institutions are need to combine the traditional subject matter expertise of an analyst with enhanced exploration and discovery capabilities enabled through a highly connected data set in agraph database Read More......

Data Validation and Testing Your Graph Data State

Data validation lets you gain insight on the quality of your data assets. This involves grading your organization consistently to monitor your progress. When testing data, it’s essential to set metrics, as well as succeeding steps and goals to drive improvements. Data testing is even more crucial when loading data into a schema free graph database like Neo4j. So how do we it efficiently and continuously?

Schema-Free Nature of Neo4j and Data Validation

Neo4j is schema-free by nature, but does provide some schema concepts that can be enforced. This means, when your data flows via your Neo4j data pipeline and graph Read More......

Saturday, February 13, 2016

Neo4j Production Ready: Enterprise Cloud

 The cloud today has become the primary deployment option for startups and is gaining adoption across the worlds largest enterprises. As with other critical infrastructure holding sensitive organization or customer data, there are several key questions enterprises must consider when evaluating the Neo4j graph database cloud Read More.....

Wednesday, February 10, 2016

Neo4j Production Ready: Security

With cloud adoption consistently accelerating in all organizations and industries, selecting a Neo4j cloud platform that offers your business security and scalability while eradicating lead time of internal-building is important. To simplify such a process for utilizing Neo4j Enterprise, the GraphGrid Data Platform provides a Neo4j Amazon Web Services (AWS) cloud offering. This Neo4j Enterprise data platform not only enables management of read more..... 

Neo4j Production Ready: Deployment Basics

If you intend to perform a Neo4j production deployment successfully, you’ll likely think about the best application architecture to use and how you’ll operate your Neo4j Enterprise deployment at a scale. Some things you’ll need to think about should include how you intend to guarantee learn more.....

Neo4j Enterprise Cluster Basics

Neo4j Enterprise enables a high availability cluster using the PAXOS protocol for cluster communication prior to 3.x and the RAFT protocol with the core-edge clustering model is now available in the read more here..... 

Saturday, February 6, 2016

Cypher is Awesome


Cypher is a declarative pattern matching language created by Neo4j for the purposes of describing graph data representations effectively. Cypher is considered to be one of the most powerful features fore effectively expressing graph database traversals for reading and writing graph database data into Neo4j.
Cypher makes it capable for queries to do something like: “bring back my friends’ friends right now” or “give me back all pages this page is linked to within the last day” in the form of several code lines. As such, graph database queries and operations across all languages and integrations with Neo4j are able to query in a consistent manner click here to learn more........

Querying Your Neo4j Graph Database

There are different ways for querying, storing, managing and retrieving data in the Neo4j graph database. For a majority of users querying with Cypher is a great experience when it comes down to performing efficient and effective graph database traversals and interactions within the graph data model. For specific applications that entail further control on how graphs can be  read more....

Using Neo4j Cypher MERGE Effectively

One of the areas in Neo4j and Cypher that brings the most questions and discussion when I’m giving Neo4j trainings or working with other engineers building with Neo4j, is around how to use Cypher MERGE correctly and efficiently. The way I’ve explained Cypher MERGE to all our engineers and all the training attendees is this.
There are a few simple things to understand about how Neo4j handles Cypher MERGE operations to avoid undesired or unexpected behavior when using it Read more....