Updated March 4, 2019
The Ultimate Big Data Architecture ChecklistThe 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…
Updated March 4, 2019
The Hidden Costs of Self-Service BI InitiativesWhile 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…
Updated March 4, 2019
Selecting The Right Use Case For Your Big Data ImplementationOrganizations have come to the realization that data is a core part of their strategy and a scalable distributed computing platform central to their technology investment. However, a challenge that big data practitioners face is what use case they should…
Updated March 4, 2019
PUDDLES ON THE DATA LAKEEnterprise 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…
Updated March 4, 2019
CDOs: They Are Not Who You Think They AreGoogle 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…
Updated March 4, 2019
Big Data: The Unknown UnknownsIndustry 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…
Updated March 4, 2019
BI Tools: The Do’s and Don’t’s of Integrating HadoopBig data can translate to big wins for your company, but making it work means working smarter. Hadoop makes it simple to distribute storage and process very large data sets. Make Hadoop work for you even further by pairing it…
Updated February 12, 2019
Why You Need A Virtual Data WarehouseThe 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…
