Big Data


We Unlock Big Data Value and Empower Real-time Decisions


We believe the Big Data challenge is the ability to manage large volumes of data, generated at high speeds, either by deriving valuable insights or simply by making sure data gets where it needs to.

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, Confluent, 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 possible approaches 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 or lightning fast demanding operational scenarios.

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 organisation, 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 over your competition.

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



ETL Off-loading

If you are like all other organisations in the world, your data processing window and needs are constantly under pressure. Data volume and pipeline complexity are 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.

Real-time Solutions / Platform

Sometimes, you need to act on data as soon as it is produced, either on analytics, recommendation or other operational capacities. Big Data technologies and Hadoop in particular, through components such as Kafka and Spark, offer you the ability to build a near real-time solution for data processing.

When working hand in hand with NoSQL data engines, such as MongoDB or Cassandra, you look for fast persistence and retrieval of data, making the once impossible scenarios, now possible to achieve.


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.

Let’s do Something Big?

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Big Data Tecnologies & Partners

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Carlos NevesBig Data