The migration from on-premises environments to the cloud is progressing at a breakneck pace. However, as companies move data to the cloud and make it available to business users, they face several challenges: Slow performance and skyrocketing cloud costs. This is because, in a typical business scenario, large numbers of users will start running complex analytical queries when data is available across the enterprise. Currently, it consumes many resources if each query has to scan billions of rows or perform joins, groupings, or other calculations at runtime.

 Problems continue to escalate as data volumes grow and usage increases. Queries are getting slower and more expensive, and you can quickly run into total costs. The question today is how to build a future-proof cloud BI ecosystem that delivers high performance to users across the enterprise while controlling costs.

 An innovative way to overcome these challenges and perform interactive analysis in the cloud is to pre-aggregate data and create OLAP cubes directly in cloud storage or data warehouses. Once these cubes are built, they can be queried directly from the cube, eliminating the need to return to the data warehouse to process the information.

 However, traditional OLAP solutions cannot do this because they cannot scale modern data workloads or fit into the cloud ecosystem. LTS developed Smart OLAP, a cloud-native OLAP technology, to solve this problem. Not only can it handle your current data, but it can also be easily extended to meet your future data needs. Register for the online webinar. Our goal at LTS is to simplify IT so you can focus on your business.