Building a high-performing data team requires diligence and the selection of high caliber data professionals. Our experienced team will help you build advanced data teams by either advising on forming a new data team or designing transformation and change strategy for your existing organisational structure. We will assist you in bridging the gap between data engineers and data scientists.
Data solutions are becoming more and more complex and costly. We will help you design a tailored data strategy to simplify your data landscape providing a sustainable model for your organisation.
Consumers are demanding more real time services, throughput of messaging systems are increasing exponentially. To keep up with this demand you need to be using modern streaming platforms such as Apache Spark, Apache Flink or Kafka Streams. We can help design and implement these solutions.
If data is the new oil then data pipelines are the delivery system. We are experienced with connecting disparate sources and various formats to well organised, structured Data Lakes. The purpose of a Data Lake should be to extract business value, whether that be as a source for AI models, business intelligence, ad hoc operational reports, or many other use cases. We will help you make sure you have a Data Lake that is empowering your business.
Effective data management is key to successful implementations of data projects and compliance to regulatory requirements. We will assist you in defining your data governance strategy by identifying and designing key data governance elements such as enterprise data catalogue, meta data management and data quality control.
You have existing Cloudera, Hortonworks or MapR Big Data clusters in your own data centers which you need to maintain, upgrade and deliver new projects on. Our team can help with these tasks.
Moving to cloud will help your team deliver faster and more reliable data products. If you have not done so already let us help you. We can show you how to migrate your existing solutions to appropriate managed services such as Databricks, S3 and many others on AWS, Azure or Google Cloud. If you are already in the cloud, we can help further deliver your cloud strategy.
Large scale data projects heavily rely on establishing secure data pipelines between on-premise and cloud platforms. Our experienced engineers will advise you on the best solutions to build secured gateways between your on premise data storage and public facing cloud databases and applications.