May 6, 2019
Seamless Adoption of Snowflake in the Cloud: Rakuten with AtScaleEvery new enterprise solution introduces a multitude of problems. For the enterprise, the solution that has introduced the most complexity to the business has been cloud transformation. According to IDG, 73% of organizations have at least one application, or a…
April 25, 2019
How AtScale Helps Enterprises Improve Performance on SnowflakeFor businesses that with deal petabyte-scale data environments representing billions of individual items such as transactions or material components, the capacity to rapidly analyze that data is vital. Storing data in an on-premise warehouse is an increasingly unpopular option due…
April 9, 2019
Snowflake & AtScale, A Perfect FitWhen AtScale implements support for back end EDW’s, we spend a lot of time—the majority, actually, working on implementing features that take advantage of all the unique capabilities the EDW has to offer. This probably comes from our genesis in…
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…
March 6, 2019
AtScale and HDInsight on Microsoft AzureThe Forecast Calls for Cloudy Weather You don’t have to be a clairvoyant to know that there is an ever-increasing trend in cloud adoption among start-ups and enterprises alike. In the world of Big Data, the past few years have…
March 4, 2019
Unprecedented Concurrency with AtScale and Cloudera ImpalaJust last week Cloudera released some impressive performance numbers showing how the Impala SQL-on-Hadoop engine scales to support concurrent query workloads. The Cloudera blog post confirms what we at AtScale have experienced with real-world customer installations – that Impala plus…
In the world of Business Intelligence and Big Data there continue to be a number of exciting innovations as new and improved options for processing large data sets appear on the market. You may be familiar with AtScale’s BI-on-Hadoop Benchmarks…
In order to be successful, data driven organizations must analyze large data sets. This task requires computing capacity and resources that can vary in size depending on the kind of analysis or the amount of data being generated and consumed.…
In 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…
