We significantly simplify data analytics. You can unlock the potential hidden in your data with a cloud-native, serverless approach that decouples storage from compute and lets you analyze gigabytes to petabytes of data in minutes.
This allows you to remove the traditional constraints of scale, performance, and cost to ask any question of data and solve business problems. As a result, it becomes easier to operationalize insights across the enterprise with a single, trusted data fabric.
For example:
We assist you in developing AI out of the box such as Recommendations AI, Vision AI.
Many model types are supported, including deep neural networks, time series analysis, K-means clustering, and linear and logistic regression. Read here how it works and here how we used Big Query ML for predicting conversion intent.
For custom AI we use Vertex AI components and Notebooks.
For analytical use cases we are skilled working with:
BigQuery Omni allows executing queries securely on other public clouds with one interface. Anthos hybrid and the multi-cloud platform allow to build, deploy, and manage the BigQuery query engine on multiple clouds.
The kind of tooling and way of developing to choose depends on the required time constraints, available budget, technical requirements, and the skills present.
