Data Integration & Data Engineering Consulting
Modern data integration tools and data engineering techniques can simplify and speed up the process of cleaning, transforming, and bringing together data from all of your sources to make it analytics-ready.
Data Integration & Engineering Services
We develop, manage, prepare, transform, and deliver data flows to enable analytics at scale.
Data Integration
We will help you select the right data integration tools and techniques for your disparate data and determine where you should integrate your data, such as in a data lake, a persistent staging layer in a data warehouse, or a dimensional warehouse. We will also prioritise which data to integrate—and which to not—to control your costs associated with integrating, transforming, and storing your data.
Data Pipelines
We design and implement data pipelines that utilise modern tools to automate workflows and testing, standardise and speed up data transformation, remove data engineering bottlenecks, and bring more people in different data roles to the pipeline development process so that your data is ultimately more useful for decision making.
Data Transformation
Your data needs to be cleansed, combined with disparate data, and enhanced with derived business logic to create a trusted business-ready layer in your data warehouse. We help you transform raw data into actionable information using tried-and-true principles, technologies, and techniques to create robust analytics solutions for end user consumption.
Data Movement Patterns
We’ve created reusable frameworks for ELT and ETL paradigms which allow you to quickly ingest data to your data warehouse with consistent naming conventions, auditable processes, and easily understood lineage for the ingestion pipeline.
Data Cleansing and Data Quality
We will help you establish realistic standards and thresholds for data quality, determine your best approach to data cleansing (sometimes human intervention makes more sense than expensive technology), optimise your existing cleansing tools, and get buy-in from your organisation to support initiatives that promote data quality.