Spider Tree

Today’s data warehouse must meet fast-changing business requirements, support new data sources, and deliver solutions in quick iterations. Traditional ETL tools lack the agility, ease of use and level of automation needed to answer these requirements. We can help you in the following areas: Speed Data warehouses and data marts can be built in days or weeks, dramatically faster than traditional ETL tools Design Automation Data warehouse structures are quickly defined and deployed, based on proven design patterns such as Vault, Inmon, and Kimball ETL Automation Proven tools readily available on the market automatically generate 80% or more of the “Extract, Transform, and Load” commands, dramatically reducing implementation time and resources Enabling Cloud Analytics The elasticity, ease of use, and low cost of the cloud makes it an ideal platform for dynamic analytics initiatives. Increasingly, enterprises choose to manage their fast-changing data warehouse and Hadoop environments on Amazon Web Services, Microsoft Azure, or the Google Cloud Platform. Cloud Data Migration Enterprises are embracing the economy and flexibility advantages of cloud platforms, such as Amazon Web Services, Microsoft Azure and the Google Cloud Platform. But complex development efforts, performance issues and security risks can delay migrations and increase their costs. We can help you overcome these with a simpler, faster, and safer path to accelerate data migration and realise the benefits of the cloud.