Whether you are looking to develop ETLs and use cases on your Big Data solution, or you are just starting and need to design and build it from scratch, our engineering team will help you reach your Big Data goals. We are specialized on Big Data infrastructure platforms, solutions and use cases that run on top of it, either if you prefer on-premise solutions on your datacenter or public cloud providers like AWS
If you are planning to get into Big Data , an MVP should be an excellent first step. Netlabs will help you build an MVP that includes deploying cloud platforms, minimum data ingestion flows and use cases to validate which Big Data solutions are best for you.
You know that you need a Big Data solution, so, what’s next? Focusing on a good architecture will result in a scalable and performant solution. Our architects and engineers will take in consideration all your business needs to build a suitable Big Data architecture.
Let’s get this up and running! Netlabs engineers will deploy your platform, either if it’s an on-premises Hadoop cluster or a platform built using cloud provider services like AWS EMR.
Data lakes are these huge repositories where data is stored in Big Data solutions, mostly based on Hadoop HDFS or AWS S3. They are built to democratize data on your enterprise. We can develop the necessary ETL processes to get your data lake loaded with any kind of data you need to analyze, batch or real-time.
There are unlimited options, from fraud detection or churn to recommendation engines and social media analysis. Our specialized engineers can develop the use cases your business need.
A data-driven world is one of the great benefits of the ongoing digital transformation, but at the same time it requires complex analysis, a set of software, work techniques and analysis (data science) - and, mainly, a new way of thinking for those who intend to use all this. After all, for business decisions to be made considering data management, with the speed and assertiveness that is required, it is essential that this amount of information is analyzed and processed so that it is truly useful for executives and leaders.
Data is constantly generated, by people and by objects, whether they are collected by companies or not. However, achieving competitive advantages in a digitally transformed world requires obtaining this data. For this data to be stored and analyzed, it must first reach the companies.
The data can reach the domain of the companies, but it must be placed in a safe and easily accessible place, obviously without sacrificing security. Another great advantage of the cloud is that all this information can be processed in a data center, which offers the necessary processing capacity at a variable cost, that is, paying only for what is used.
This is where the work of data scientists begins. By applying the principles of Data Science, that is, a set of methodologies and software (Big Data and Analytics), it is possible to group and find patterns in the stored data. Artificial Intelligence techniques (such as Machine Learning) can also be used to automate this process and accelerate the obtaining of value. Once generated, the insights must reach the decision maker and then their teams.
"We chose Netlabs, a partner with whom we have worked for more than 20 years, for the support, security and execution capacity that only true experts in their field know how to provide. We feel that they are the ideal partner to accompany us on the path of constant innovation represented by Big Data and artificial intelligence, thanks to their vast experience, ability to extend our technical teams and their support and first-rate specialists.