Without data you’re just another person with an opinion!
How to manage Big Data
The amount of data we can collect from our activities is now frighteningly large.
Anyone who runs a business has to deal with data coming in from a wide variety of channels, from customer and supplier master data to related invoices, from invoice management to bank and expense reports, to measuring the performance of various business segments.
When you add to this the online presence, the data grows exponentially.
For example, in a website, one finds oneself having to manage data relating to security, the origin of traffic, the recording and subsequent analysis of logs, searches on the website, and more.
Managing this massive amount of data is very costly and complicated.
So how do you deal with the problem?
The best way is to rely on an exceptionally performing search and analysis system called Elasticsearch.
What is Elasticsearch
Elasticsearch is a search and analysis engine that can use all data types, from textual to numerical, from geospatial to structured or unstructured.
In this way, it is possible to perform any research and analysis on all the data at your disposal.
If you want to learn more about the structure and functioning of Elasticsearch, you can read this article.
What can we do with Elasticsearch
Thanks to its speed and scalability, Elasticsearch can be used in many business areas, for example:
- Mobile app search
- Website search
- Search in business documents
- Log logging and analysis
- Infrastructure metrics and container monitoring
- Application performance monitoring
- Geospatial data analysis and visualization
- Security analysis
- Business analysis
Some practical examples of Elasticsearch implemetation:
The world’s largest companies use Elasticsearch to improve search and data analysis; here’s a small list:
How we can help you with Elasticsearch
- Strategy: Migrate from existing platforms or set up new functionality while minimizing risk and impact on your systems.
- Evaluation: Designing a model that fits your data and workload, maintaining optimal performance, and optimizing your cluster operations.
- Design: Creating a robust solution based on your usage needs, data volume, growth needs, business requirements, and other critical factors.
- Implementation: We will guide you by developing and implementing your Elastic Stack and Endpoint Security solutions.
- Deployment: From orchestration to configuration management, we will help you configure and enable all features for your test or production environment.
