Pipelines, ingestion & streaming
Connect enterprise sources, design batch and streaming pipelines, and transform data into usable models.
Bring data ingestion, streaming, warehousing, quality and business intelligence into a governed platform built for decisions and AI.
Discuss your data platform ↗When business teams work from fragmented reports, data is difficult to trust, or AI ambitions need stronger foundations.
Connect enterprise sources, design batch and streaming pipelines, and transform data into usable models.
Design BigQuery and Cloud Storage architectures with data ownership, access, quality and governance responsibilities.
Develop Looker dashboards and reporting around the questions and decisions that matter to your business.
The right architecture depends on your workloads, integration needs, data and operating requirements.
Identify the decisions you need to support, assess source data and ownership, and agree a platform roadmap and first data product.
Discuss your data platform ↗Explore relevant experience ↗Bring the business outcome, current environment and constraints. We can then define a suitable assessment, implementation or ongoing service.
Agree the intended outcome, users, priorities and how the work will be accepted.
Review architecture, integrations, data access, security and operational ownership.
Confirm scope, contracting entity, licensing route, commercial terms and support responsibilities in the proposal.
Workload complexity, dependencies, data location, delivery responsibilities and operating needs determine scope and timing. Licensing, billing currency, taxes, payment terms and support coverage are confirmed for the relevant market and agreement.
Share the outcome you need, your current environment and your market. We will help agree a useful next step.
Let’s talk