March 4, 2019

What are the Costs of Building a Team of Data Scientists?

What does it take build and support a team of data scientists? Conducting exploratory data analysis or even basic business intelligence on Hadoop often requires input from data scientists who: Create models for related information across Hadoop. Structure databases to…

Posted by: AtScale

The Ultimate Big Data Architecture Checklist

The joy of working as a Customer Success Solution Architect is that I have the opportunity to work with many different customers and each challenges us with a different Big Data use case. I've worked with enterprises that offload their…

Posted by: Rudy Widjaja

The Hidden Costs of Self-Service BI Initiatives

While it may be tempting to focus our efforts only on self-service BI in terms of security and access control mechanisms, it is important to also place emphasis on economies to achieve success. When an enterprise develops a self-service BI…

Posted by: Javier Guillen

PUDDLES ON THE DATA LAKE

Enterprise data management has changed immensely over the past few decades…we’ve lived through data warehousing and data marts, struggled with scaling to huge data volumes and slow query performance, so on and so forth. As time progressed, true Big Data…

Posted by: Kaleb Northrup

CDOs: They Are Not Who You Think They Are

Google the word “CDO” today and your search will mostly results return articles about the “Chief Digital Officer”. However, if you came to this blog, you’re probably looking for guidance on the other title this acronym refers to: “The Chief…

Posted by: Bruno Aziza

Big Data: The Unknown Unknowns

Industry leaders know that their challenges with big data analytics are spread across 4 areas: confirmation (‘the things they know they know’); intuition (‘the things they don’t know they know’); inspection (‘the things they know they don’t know’); and revelation…

Posted by: Bruno Aziza

February 12, 2019

Why You Need A Virtual Data Warehouse

The movement of analytical workloads to cloud data warehouses such as Google BigQuery, Snowflake, Amazon Redshift, and Microsoft Azure is a trend that will only continue to grow. The performance and cost benefits of these cloud providers compared to legacy…

Posted by: Dan Schulwolf