Get valuable insights into the world of community detection algorithms and their various applications in solving real-world problems in a wide range of use cases. By exploring the underlying structure of networks, patterns and anomalies, community detection algorithms can help you improve the efficiency and effectiveness of your systems and processes
For every problem in the energy management system, there is a graph algorithm that can point you in the right direction! Here is an overview of the most useful graph algorithms for highlighting weak links, high-risk nodes and many more.
It’s true every recommendation engine requires a performant database to analyze the data and provide the recommendation, but why exactly does Memgraph stand out? Easy - C++, in-memory, real-time analytics! Three things to change the recommendation game.
Find vulnerabilities and security issues, or perform any other data analysis in your Identity and Access Management system with Memgraph, and ensure you are running a smooth operation.
If you require an energy management system that is scalable, fault-tolerant, and performant, Memgraph is the go-to solution! Analyze highly connected power grids or gas pipelines to make meaningful decisions and improve the impact on your business, the people and the environment around you.
When you notice your traditional IAM system no longer provides adequate analysis and decision making is getting harder as your company grows because you always have to pick up the slack manually, it’s high-time you turn your attention to graphs. They have everything you need - high performance, flexibility and scalability.
The GDPR has placed high demands on organizations doing business in the European Union, mainly focused on how personal data is collected and processed. However, this does not mean it can’t be business as usual again. Find out why graph databases are the best way to achieve GDPR compliance and how they get it done.
Are you reluctant to switch from a relational database to a graph databases to explore fraud because you believe you first need to be proficient in Cypher to correctly import the data? Be rest assured - there is a Python-friendly approach available within Memgraph!
Antonio, also known as Fico, joined Memgraph almost three years ago! He started as a student in the Cloud team, but his career path changed as his interest increased. Without further ado, let’s get straight to the point and find out more about Fico’s background, career path, and role in the interview below.
With power being the most powerful asset, it’s still managed by inadequate tools and systems based on tabular data. Good for aggregations and mathematical operations but terrible for actually managing large-scale, highly connected dynamic systems. Luckily, graphs can regain control over energy systems and topologies, and help save millions.
If you are spending more time writing code to develop, deploy and manage your graph projects, it’s time you tried Memgraph. It will allow you to focus on the data analysis and free you from all that time-consuming coding.
If your data is trapped inside tables and you can’t seem to get satisfying answers to questions that would enhance your business, it’s time to switch to graph databases. Here are three main reasons why!
The world has changed a lot in the past couple of years, and it’s no different for business organizations. More and more businesses no longer have strict hierarchical organizations and people often change teams and projects they work on and resources they need. It is no wonder that if the IAM systems also don’t change, they will no longer be helpful in supporting the organization. Switching to graphs presents a change the IAM systems desperately need.
You no longer need to rely on manually inspecting data lineage before making changes to your organization’s data landscape. Find out how to get insights with Memgraph’s analytics so that you can move on to impact analysis, data migration, or upgrading your data infrastructure!
Are your NetworkX algorithms taking even more and more time to produce the results you need to finish up your research? Or the application reached a critical point and its starting to lag due to increase in data analysis? Could Memgraph tackle the same computations in less time? I think you probably know the answer is “Doh!” but here are the numbers to prove it.
If a recommendation engine built on relational databases is falling a part due to the bottlenecks made by complex JOINs and never-ending schema changes, there is only one permanent and game changing solution - graph databases.
Complex JOINs necessary for tracking data lineage with relational DBs drag down the speed of analyzing and visualizing the lineage and pinpointing issues and solutions. That is why graph technology is perfect to model and manage data lineage! Not convinced? Read the post to find out more.
When NetworkX can no longer handle the analysis and vizualisation requirements of your project, and you are tired of constantly reloading data, find out how you can utilize Memgraph to get your graph data analysis back on track.
Sometimes choosing graphs solutions isn’t the only step you can take to mitigate risks. In case fraudsters foolishly think they can outsmart an analytics team, they probably haven’t come across their new best friend - fraud detection systems enhanced with machine learning models.
Did you ever fall down some bottomless pit of bad data modeling? Our inter Adrian sure did, but he learned a lot from it - how to recognize the pitfalls and how to avoid them in the future! Hope his experience helps you… but let’s be honest, we never really learn from other people’s mistakes, so if you fall be sure to yell for help!
If you believe C++ is simply the best, you’ll be happy to hear that the new Memgraph C++ API enables you to effortlessly build query procedures, functions and other analytics tools using your favourite language. What are you waiting for? Code away!
We want to introduce you to Sasa, a frontend engineer on the Platform team responsible for developing and designing Memgraph Lab. In this blog post, Sasa talks about his onboarding experience and how he got his socks knocked off during the technical interview.
Summer has been a busy time for us. This rainy but extensive release of Memgraph brings you four significant features that are bound to make your life easier. As always, there are also bug fixes and smaller but nice improvements to avoid painful debugging moments as much as possible.
In recent months, users started to ask more frequently about the ability to run algorithms on a subgraph, and we in Memgraph listen to what our users need. Read more in this post How we designed and implemented graph projection feature
Our journey of creating an optimized shortest paths algorithm that returns all paths of same length. Starting from a MAGE query module and working within Memgraph's core, here is what we learned.