When to Use Depth First Search vs Breadth First Search “You’ve probably heard of Depth First Search (DFS) and Breadth First Search (BFS), but knowing when to use each can be tricky. These algorithms are fundamental for traversing graphs, yet they serve different purposes. Understanding their differences can help you…
What is Real Time Processing You’re probably familiar with the concept of data processing, but have you ever wondered what real-time processing entails? Imagine being able to analyze and respond to data the moment it arrives. This is the world of real-time processing. Let’s dive into what real-time processing is…
What Is Big Data Ingestion You’ve probably heard the term “big data” thrown around a lot lately. But what does it actually mean, and how does it work? One key component is big data ingestion. Understanding how data moves from various sources into a centralized system can help you make…
"Originally, we did not anticipate that ClickHouse itself would be so powerful, and ClickHouse Keeper's performance is equally impressive!""Migrating from ZooKeeper to ClickHouse Keeper achieved more than 75% reduction in CPU and memory usage.""After switching to ClickHouse Keeper, performance improved nearly 8 times." Background # Bonree ONE is an integrated…
What Is Data Lineage “You’ve probably heard the term ““data lineage”” thrown around in discussions about data management. But what does it actually mean? Understanding data lineage can help you make better decisions about your data assets. It’s not just for data scientists or IT professionals; anyone who works with…
Algorithm for Finding SCC (Strongly Connected Components) in Graphs You might be wondering how to identify closely connected groups within a directed graph. Whether you’re analyzing social networks, optimizing network flow, or detecting cycles in workflows, understanding the algorithm for finding strongly connected components (SCC) is key. Strongly connected components…
Welcome to This Week in Neo4j, your weekly fix for news from the world of graph databases! This week, the GraphRAG Manifesto outlines the advantages of combining graph and RAG. Besides that, we create a visualisation tool with React, listen to the GraphGeeks podcast and go hands-on with CSV Import.…
In the inherently information-driven insurance industry, companies ingest, analyze, and process massive amounts of data, requiring extensive decision-making. To manage this, they rely on a myriad of technologies and IT support staff to keep operations running smoothly but often lack effectiveness due to their outdated nature. Artificial intelligence (AI) holds…
Top Community Detection Algorithms Compared Ever felt overwhelmed by the sheer complexity of your data networks? You’re not alone. Data scientists and researchers often find themselves buried under massive datasets, searching for meaningful patterns. That’s where community detection algorithms come to the rescue. Community detection algorithms identify groups or communities…
Fraud and anti-money laundering (AML) are major concerns for both businesses and consumers, affecting sectors like financial services and e-commerce. Traditional methods of tackling these issues, including static, rule-based systems and predictive artificial intelligence (AI) methods, work but have limitations, such as lack of context and feature engineering overheads to…