Managing customer preferences is one of the many aspects of managing customer journeys. Customers interact with organizations across a myriad of digital channels, and being mindful of preferences can increase the trust associated with customers. Read on for how graph databases can help manage these customer preferences. Data privacy and protection policies across geographies make it […]
Say Hello to Graph Normal Form (GNF)
You thought you knew all normal forms? (And possibly also some abnormal …) Well, think again: There is also “graph normal form (GNF).” The diagram below is a fifth normal form graph concept model, which is just a few steps from GNF, so hang on: Where GNF comes from GNF is based on serious mathematics, […]
Graph Technology: The Next Chapter of Data Insights and Intelligence
Hospitals are one of the best examples to spotlight the complexities of unstructured data. From physicians’ notes in EHRs, emails, text files, photos, videos, and other files, the majority of patient data cannot be read by machines. Research firm IDC estimates that upwards of 80% of data will be unstructured, growing from 33 zettabytes in 2018 to 175 zettabytes […]
The Future of Database Management Systems
As the amount of data generated globally grows exponentially, data-driven businesses are increasingly turning to more innovative database management systems to store, manage, and process all that data. This article provides an overview of database management, how it has evolved – especially during the COVID-19 pandemic – and the future of database management systems. What Is […]
Graph: A Must-Have Enterprise Technology in 2022
If 2021 was the year graph technology went mainstream, 2022 will be the year it becomes an enterprise “must-have.” Graph companies have attracted hundreds of millions of dollars in funding this year, as more organizations scale up (and out) with graph. In addition to the usual graph use cases – which include fraud detection, anti-money […]
2022 and Beyond: Quantum AI, Graph Neural Networks, and Personal Data Pods
The new year will bring us many exciting developments in data-enabling technologies including the merging of artificial intelligence with quantum computing and graph neural networks, which will power extremely complex, next-generation algorithms. Knowledge graphs will become lego-like with the ability to be plugged into diverse applications. With mounting concern over social media sites using personal data, expect […]
What Is NoSQL?
NoSQL describes a “category of databases built on non-relational technology.” Some believe it is more accurate to define NoSQL more about how the data is stored and less about how to query the database. NoSQL Databases usually fall under four main categories: Document: Stores a business subject in one structure called a document instead of breaking […]
What Is Data Visualization?
Data visualization describes the shape of information formed in a graph depicting a particular context. Data visualizations contain contextual information (the metadata) and the actual data, making the information more straightforward for people to process and analyze. According to DAMA-DMBoK2, data visualizations cover traditional BI tools like “tables, pie charts, line charts, area charts, bar […]
Ten Use Cases to Enable an Organization with Metadata and Catalogs
Click to learn more about author Tejasvi Addagada. Enterprises are modernizing their data platforms and associated tool-sets to serve the fast needs of data practitioners, including data scientists, data analysts, business intelligence and reporting analysts, and self-service-embracing business and technology personnel. However, as the tool-stack in most organizations is getting modernized, so is the variety of […]