Understanding what your business needs to work, we make your data architecture scalable, resilient and secure with the right models and governance baked in. The key to enabling your business to make key decisions with confidence. We ignite the value of your data assets, through highly effective and proven data solutions. We translate complex data concepts and challenges into engineering features and business friendly language.
Data engineering is a critical function for any organisation that deals with large amounts of data. It enables organisations to derive valuable insights from their data, make data-driven decisions, and create new products and services. Most organisations are not able to unlock the full potential of their data and gain a competitive advantage in their market.
Poor data quality can lead to inaccurate insights and decisions. We help to ensure that data is accurate, complete, and consistent, and that it adheres to the organisation's data governance policies.
Dealing with multiple/disparate sources, data formats and third-party application makes it difficult to integrate and transform data into usable formats.
There is an increasing difficulty for organisations to design and maintain a scalable data infrastructure that can handle the current and future growing needs.
Automation helps streamline data engineering processes, reduce manual errors and increase efficiency.
We believe the platform side of the data equation is where teams waste inordinate amounts of time and resources to build and run – this waste is directly impacting delivery of enterprise value.
Allow you to manage and track changes to large amounts of data in real time or at rest.
Ensure the systems you develop are scalable, resilient and secure.
Enhance your accountability and transparency, manage risks, ensure compliance and investigate the rationale behind key decisions.
bigspark use cutting edge technology to implement industry best practices using the following…
Infrastructure Provisioning and DevOps
Linux, Terraform, Docker, Kubernetes, Helm
Big Data Technologies
DBT, Spark, SQL, Kafka, Flink
Data Pipelines & Orchestration
Airflow, StreamSet, Mage
Code Versioning
Git, SVN
Programming
Java, Scala, Python
Data Warehouse, Data Lake, Lakehouse
Snowflake, Databricks, Redshift
Cloud Compute and Storage
AWS, Azure, GCP
