In the last blog I described the Cypher object notation used by the query language. In this blog I will describe how to manually create nodes and relationships and then how to do this more efficiently by importing data. Contents Creating Nodes and Relationships by Hand Unique Constraints Merge Command Bulk Loading Data Options Creating … More Neo4j Database – Part 05 – Data Loading Options
In the last blog I described the objects that make up a Neo4j database. In this blog I will discuss how we create each database object. It would be impossible to learn Neo4j without learning the Cypher query language. At the time of writing the UI and the most popular client query libraries all rely … More Neo4j Database – Part 04 – Cypher Object Notation
In the last blog I introduced some neo4j basics for managing a database and how to interact with it. In this blog I will begin to uncover the objects that make up a Neo4j database. This is very important when it comes to defining the correct data model. You will be pleased to know that … More Neo4j Database – Part 03 – Database Objects
In the last blog I introduced Neo4j. In this blog I will cover some of the basics. Desktop Interface I installed Neo4j Desktop and then clicked on the icon to launch. I have to start off and say that the UI is not that impressive. In fact after doing some searching around, there is not … More Neo4j Database – Part 02 – Basics
In the world of databases when we talk about writing data into a database the topic of transactions comes up. When talking about transactions and Relational Databases the acronym ACID is implied. In the world of NoSQL we also have BASE and CAP. So what exactly does all this mean? Let’s discuss these three acronyms. … More ACID v BASE v CAP
This is a blog series on using the Neo4j NoSQL database. Introduction I have been around databases for 30 years starting out with IDMS on ICL mainframes. That progressed into Sybase and Microsoft SQL Server. I have cut my teeth on relational databases however; the one size fits all no longer applies anymore. Those previous … More Neo4j Database – Part 01 – Foundation
In the previous blog I discussed transactions. In this blog I want to highlight the scalability and high availability features available in Redis. RDBMS’s are designed to run on big boxes. Scaling is done virtually by throwing more hardware at the server. This is in complete contract to NoSQL databases which are designed to be … More Redis Database – Part 08 – Scalability and High Availability
In the previous blog I highlighted the scalability and high availability features available in Redis. In this blog I will show how a demo application uses Redis to cache searches sent to Twitter. The code can be found on Github here. Demo Application In this last post I thought I would show one of the … More Redis Database – Part 09 – Twitter Redis Caching
In the last blog I discussed how we can apply filters to our data. In this blog I will discuss how we deal with transactions. Transactions If you come from a relational database background you will be very familiar with transactions. When a transaction starts, data is modified immediately and because RDBMS’s support full ACID … More Redis Database – Part 07 – Transactions
In the last blog I discussed NULLs and data denormalization. The code can be found on Github here. In this blog I will show how we can apply filters to our data. Filtering data is limiting the data returned based on conditions. In SQL this is accomplished by a WHERE clause. Doing filtering on the … More Redis Database – Part 06 – Query Filtering
Denham Coder 