BI organizations are looking for more scalable, maintainable, and cost efficient solutions to enable analytics for a wider variety of users. The cloud promises nearly unlimited scalability, low barriers to entry, and less upfront capital requirements. However, concerns over data security and vendor lock-in have slowed adoption, especially in BI. In this session, we’ll discuss the benefits of leveraging the cloud for analytics, the strengths and weaknesses of some of the more popular cloud analytics databases, and steps you can take to keep your data secure.
You Will Learn
- An overview of the cloud
- The benefits and challenges of leveraging the cloud for analytics
- Example cloud-based DW options, such as Redshift, Google BigQuery, Microsoft Azure
- ETL patterns for the cloud
- Data security
- The costs of working in the cloud