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 e Confluent.
Looking for experts in Big Data in London, UK? 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
Whether you need to understand customers better, manage your operations better, build better products and services or reduce and control risk, DATA is central. 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.
If you are like all other organisations in the world, your data processing window and needs are constantly under pressure. Data volumes 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 and 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 through analytics, recommendation or other operational requirements. 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 can achieve fast persistence and retrieval of data, making once impossible scenarios, now possible to achieve.
Implementing a Data Hub solution for a Fund Management Institution.
How to successfully collect & manage Car Telemetry data.
Implementing a Data-centric Business Strategy in the Retail industry.
Real-time Event Processing
Building event processing pipelines for near real-time business analytics.