Data Lakes will Yield More Business Value when Combined with Graph Databases
Although traditional data warehouse environments have been around for years now, scalability and performance have become a challenge in the face of a big data deluge. This is where data…
Implementing a 24-Join SQL Query in a Graph Database
Many people are unaware that some difficult-to-write and inefficient-to-execute SQL queries can be easily expressed and efficiently executed in a graph database. This is true even for some people who…
Using A Graph Database for Big Data Entity Resolution
We’re Being Deluged By Data According to market intelligence company IDC, the “Global Datasphere” in 2018 reached 18 zettabytes. (Yes, that zettabytes!) And the problem is only going to get…
Working with TigerGraph REST API and CORS (Cross Origin Resource Sharing)
Every web browser follows the “Same-Origin Policy” to maintain system security, and reduce the possibilities of attack by malicious web scripts. Under the same-origin policy, a web page can only…
Neo4j 4.0 Fabric – A Look Behind the Curtain
This week, Neo4j announced version 4.0, featuring their Fabric database, advertised as offering "unlimited scalability." They go on to describe it as "Sharding and federation: Neo4j 4.0 now allows for…
Lowering the Cost of Healthcare with Advanced Analytics
“Will our grandchildren have to choose between paying for gas and groceries and paying for healthcare?” This is a question being asked by key leaders in the healthcare industry ,…
What Are the Major Advantages of Using a Graph Database?
A graph database is a data management system software. The building blocks are vertices and edges. To put it in a more familiar context, a relational database is also a…