Migrating an existing Data Warehouse or looking for more advanced capabilities such as BQ Machine Learning, AICG has the expertise to help. As a Google Cloud Platform Partner, we specialize in infrastructure-to-analytics. That obviously includes BigQuery.
Read more below about some common challenges that we’ve seen and helped our clients with over the years. We’d love to hear any unique challenges you have. I bet we can solve those too.
Problem: Issue planning migration of on-premise Data Warehouse
BigQuery can seem to be a challenge to an onlooker unfamilar with cloud data warehousing.
Questions such as how do I move our date? How do we translate our current ETL pipelines to point to BigQuery? What new benefits will BigQuery have over our existing Data Warehouse and reporting? How can we test the success of the data warehouse migration? Will our previous reports still work?
All of these are valid questions. AICG answers these questions, and more, through a streamlined approach. Whiteboarding the current and target state allows you to get a bigger picture view of the gaps, and the challenges you may have. Based on this and requirements gathering expectations on success criteria should be ready to go. At that point it’s all about the know-how to execute to meet your Data Warehouse migration goals. Big Query has loads of new functionality that your current data warehouse may not have, so exploring those features can be left to a secondary phase. AICG has scripts and questionnaires to help guide your migration to success.