Updated August 12, 2021
Building a Semantic Layer with AtScale on Amazon RedshiftUsing AtScale to establish a semantic layer on Amazon Redshift delivers several important benefits to modern data and analytics teams. As a single source of governed metrics, and dimensions, AtScale extends the value of Redshift for business intelligence and data…
Updated April 29, 2021
Make Power BI Shine on Snowflake, BigQuery & RedshiftAttention Power BI enthusiasts, what I am about to say is huge! AtScale now lets you get Live Query access to cloud data warehouses within a full, multi-dimensional model. This means you get live access to your cloud data with…
Updated March 2, 2020
Data Lake Intelligence With Amazon S3 and Redshift SpectrumHadoop pioneered the concept of a data lake but the cloud really perfected it. It’s no longer necessary to pipe all your data into a data warehouse in order to analyze it. Cloud data lakes like Amazon S3 and tools…
Updated March 12, 2019
Which Cloud Data Warehouse Should I Migrate To: Redshift vs. Snowflake vs. BigQueryWe are often asked by customers and prospects: what is the best cloud data warehouse technology for handling analytics workloads? The reality is that all cloud data warehouses have different and competitive price and discount models, performance characteristics depending on…
Updated March 4, 2019
Data Lake Intelligence with Amazon Redshift Spectrum and AtScaleIn a recent article in Information Age we talked about how the worlds of big data and the cloud are preparing the path for the emerging concept of Data Lake 2.0. We believe that Amazon’s approach to the cloud-enabled data…
