Always wanted to identify the most influential developer within your Github network? Check out how by using Pagerank.
Movie ratings from MovieLens are incoming, but you are still not sure what to watch over the weekend? Create your own movie recommendation system.
Recommending books is hard. Thanks to the Amazon books dataset and insights from graph analytics, you can build your own. Here’s how.
Analyze the Art Blocks transaction data, projects and communities in real-time with Memgraph
Some use cases in data analysis require near-instantaneous processing of data. To make it happen, you need tools for real-time data analysis that support the use of continuous queries.
A streaming database is a real-time data repository specifically designed to store, accumulate, process and enhance a data stream.
Real-time graph analytics combines streaming data technology, graph databases, and graph algorithms to tackle problems not suited for relational databases and batch processing.
Stream processing is a type of big data architecture in which the data is analyzed in real-time
In this article, you can learn the difference between stream processing vs batch processing, and get to know the basic use cases for each.
Learn more about the benefits of real-time analytics and how they allow you to get key insights almost instantaneously.
Learn how to use the GQLAlchemy library to manage data streams and database triggers in Memgraph
Learn about the differences between static and dynamic data, real-time data sources and ways of analyzing streaming data
Learn how to pick the best streaming analytics tool for your use case
Explore a network of retweets using a dynamic PageRank algorithm and a graph database
Discover how to detect communities in dynamic networks quickly with LabelRankT
An in-depth guide to understanding the dynamic node2vec algorithm and its advantages over static algorithms on streaming data
Learn the theory behind how to deal with streaming graph data by using Dynamic PageRank
Learn how to connect to a Pulsar cluster, create an Art Blocks NFT database in Memgraph and analyze streaming sales
A basic overview of the architecture and features offered by Apache Pulsar and Apache Kafka
Through this tutorial, you will learn how to connect to a Redpanda stream from Memgraph and analyze the graph data
A short story about working with librdkafka
Learn how to get Twitch data, find the most interesting statistics from the Twitch network and visualize the output of different MAGE algorithms on ingested data in real-time
Learn how to scrape Twitch data, find the most interesting statistics from the Twitch network and visualize the output of different graph algorithms
Check out what it takes to develop a recommendation engine with graph analytics
Learn how to ingest Reddit data, visualize it as a graph and perform sentiment analysis.
Our growing community of graph enthusiasts awaits you!