Big Data


We Improve Agility and Performance Through Technology & Skills


We believe that the Big Data challenge is the ability to manage large volumes of data provided from different departments to detect valuable insights.

Our secret is a multi-disciplinary team with top of the line skills in leveraging distributed data processing technologies mixed with an agile and interactive approach and a set of power technology partners like Cloudera, Datastax and MongoDB.

Looking for Big Data Experts? We have a data driven team for hire!

How Can We Help?

BIG DATA CONSULTING

You know your business. We know DATA and we strive to work with you to envision all possible ways to extract value from it, in order to define and develop a Big Data execution plan.

BIG DATA DEVELOPMENT

Our Big Data experts with mastery in Cloudera Hadoop and NoSQL Databases can help you develop NRT (near real-time) and batch data pipelines for all types of data.

BIG DATA OPERATIONS

We help customers define, install, configure, manage and tune a distributed data environment. We can help you install and adopt Big Data software such as: Cloudera Hadoop, Mongo DB and Datastax/Cassandra.

Technology Use Case

Data HUB

Either you need to better understand customers, better manage your operations, build better products and services or reduce and control risk, DATA is centric. The ability to bring to one place data coming from both outside and inside your organization, from operational systems, sensors or social networks, with virtually no volume constraints, at varying speeds, at an affordable cost, enables you to attain a competitive edge against your competition.

This is what a Data Hub approach can do for you – a Data Lake supported on Hadoop, that brings data and compute together to enable the data centric enterprise.



ETL Off-loading

If you are like all other organizations in the world, your data processing window and needs are constantly under pressure. Data volume and pipeline complexity is ever increasing and your traditional ETL approach is unable to cope with the demands. What if you could take advantage of modern data processing techniques based on distributed systems to leverage a scalable data infrastructure and processing frameworks to run your ETL at a manageable cost? This is what ETL Offloading on Hadoop can offer you.

Real-time Solutions / Platform

Sometimes, you really need to act on data as soon as it is produced, either on an analytics, recommendation or other operational capacity. Big Data technologies and Hadoop in particular, through components such as Kafka and Spark, offer you the ability to build near real time solution for data processing. Working hand in hand with NoSQL data engines, such as MongoDB or Cassandra, for fast persistence and retrieval of data makes the once impossible scenarios, possible.


Case Studies

Data Hub

Data Hub

Implementing a Data Hub solution for a Fund Management Institution

Telemetry Data

Telemetry Data

How to successfully collect & manage Car Telemetry data.

Data-centric Strategy

Data-centric Strategy

Implementing a Data centric Business Strategy in the Retail Industry.

Real-Time Event Processing

Real-time Event Processing

Build event processing pipelines for near real-time business analytics.

Tecnologies & Partners

The challenge of Big Data initiatives is the ability to manage large volumes of data provided from different organizational departments and capable to detect valuable business insights. Let’s do something big?

Carlos NevesBig Data