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WADE Data Platform Automation Trial

WADE Insight AB

WADE Data Platform Automation Trial

WADE Insight AB

A Data Platform governance, automation, and orchestration accelerator for Synapse and Databricks

Try before you buy trial. Fully operational Azure Synapse or Databricks Data Lakehouse Automation Solution.

In today's data-driven world, organizations are constantly searching for ways to improve the speed, accuracy, and cost-effectiveness of their data insight processes. Traditionally, data warehousing is a time-consuming and expensive process that relies heavily on manual effort. Teams of IT professionals will spend months designing, building, and testing data warehouses, only to find that the results often fall short of expectations.

Data warehouse automation, on the other hand, shifts the focus from a technology-driven approach to a more business-driven one. This means that the focus is on the data and how it can be used to drive business value, rather than the technicalities of data warehousing. WADE is the next generation data automation, and orchestration service for Microsoft Azure Synapse, Databricks Data Lakehouse and Microsoft SQL Server on-premises. A true end-to-end SaaS solution which accelerates data insights and significantly shortens time to value. Built upon the Microsoft and Databricks reference architecture for data warehousing, WADE is deployed without introducing any additional components into your IT landscape. Having total cost of ownership, time to value, and a strong business outcome focus, WADE will significantly help to shift focus from a development and maintenance effort to business driven automated data insights.

With our rapid deployment tools, your enterprise grade data warehouse will be up and running in matter of hours. This includes setting up a fully automated three-layer data warehouse architecture: delta lake (data lake) for GDPR compliant source data management, data vault for data governance, and data mart for data enablement.

WADE is built to support multiple business purposes using one common workflow. Regardless of if the need is an automated Databricks Data Lakehouse for advanced data science, cloud data warehouse for analytics or a secure on-premises data warehouse, WADE manages all three options seamlessly. Move data between the three different platforms depending on business needs. Accelerate data insights, now and in the future.


WADE brings the following benefits:

  • Manage Azure Synapse, Databricks Data Lakehouse and Microsoft SQL Server on-premises. In any combination using our WADE common way of working.
  • Subscription based pay-as-you-go SaaS. No lock in. No proprietary components. Microsoft and Databricks best practices - made simple
  • Supports a truly agile development methodology with focus on data insights, rather than data sourcing
  • Low-code metadata driven warehouse data model build, test and deploy automation - Supports Data Vault and Kimball modelling techniques and needed transformations.
  • Metadata driven orchestration - manage your end-to-end data flows through our SaaS orchestration API.
  • Data preparation - All data sources are transformed to a common Parquet-format. ML/AI ready.
  • Customizable data management workflows - catering for machine learning, data quality and governance capabilities, or big data processing
  • Data warehouse virtualization - Save cost and time by only storing the data in the data lake, allowing for instant access as soon the data lands.
  • Automatic data lineage and governance. WADE for Azure Synapse keeps an audit trail from source to end consumer.
  • Non-exclusive - if needed, combine WADE for Azure Synapse with your own- or third-party products, data pipelines, or notebooks in your existing Azure Synapse data warehouse.

    WADE Insight is a Microsoft Partner and WADE has been developed in close collaboration with Microsoft and Databricks to maximize and simplify your data platform journey.

    Utilize the WADE Customer Success team or a certified system integrator in your region to get you started today!
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