Agile, Scalable, Analytics-Enabled.
Align IT to business objectives with an agile, scalable and analytics-enabled cloud-based data warehouse.
- The business will love it when you give them access to ALL their data.
- Your CFO will love how cost-effective it is using the cloud.
- You will love it when Waja does the work for you.
Achieve data integration and analytics results faster with a modern data warehouse. Take advantage of our 20 years of experience, deep technical expertise in both open-source and cloud databases, and strong relationships with public cloud vendors Google, AWS and Azure. Adopting a modern, cloud-based data warehouse is the first step toward becoming truly data-driven.
How We Help
We Plan, implement, Manage and Grow Data Modernization Projects in the Cloud.
A pragmatic step-by-step plan that gets you enjoying the benefits of modernization sooner with a plan to expand, without risk. Here’s an example of everything we take into account for a migration to a cloud data warehouse on GCP.
We create new or migrate your existing data warehouse from your on-premise data center or from one cloud provider to another. For proof, try our BigQuery POC offer.
We don’t set you up and walk away. We’ll manage your data warehouse for you and ensure it continues to operate reliably.
Grow from a data warehouse into a true data hub with full multi-source data ingestion and integration, right through to supporting full analytics. See our Analytics as a Service offering.
Cloud not in your plans?
We have deep expertise in data warehouse modernization and data warehouse offloads using Hadoop for your on-premise environment.
Who We’ve Done It For
Airline: 360 views of customers on AWS Redshift.
For a private aviation company, we modernized their on-premise MySQL database by moving it into AWS Redshift so they could more easily integrate multiple data sources and get a 360-degree view of the activity of their planes and their customers.
Retail: Google BigQuery Data Warehouse for advanced analytics.
We helped a major retailer by setting up their Google BigQuery data warehouse to easily ingest and process a stream of live in-store shopper data from hundreds of stores, enabling advanced analytics.
Financial: Vertica to Google BigQuery migration and resource management.
We moved a Vertica data warehouse to Google BigQuery for a large financial company, then we created the project architecture, dataset layout, and a rigorous user access control design. We also delivered a custom resource scheduler and did performance tuning to manage their large-scale workloads.
Entertainment: Teradata to Azure Data Warehouse for agility.
We moved data from an on-premise Teradata warehouse to Microsoft Azure data warehouse to allow this client to easily integrate many external and internal data sources, and to automate the orchestration of analytics across multiple applications. This helped them create a personalized marketing experience for their customers.