2001 Business Intelligence Management Visualization 
CIO Business Intelligence
JANUARY 17, 2024
The company has been on a continuous journey to adapt its internal and external processes to new business needs and opportunities since 2001.” Artificial Intelligence, CIO, Cloud Computing, Cloud Management, Digital Transformation, IT Leadership, Machine Learning, Microsoft Azure
Cloudera
AUGUST 8, 2022
With Iceberg in CDP, you can benefit from the following key features: CDE and CDW support Apache Iceberg: Run queries in CDE and CDW following Spark ETL and Impala business intelligence patterns, respectively. Exploratory data science and visualization: Access Iceberg tables through auto-discovered CDW connection in CML projects.
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AWS Big Data
OCTOBER 11, 2023
Organizations with legacy, on-premises, near-real-time analytics solutions typically rely on self-managed relational databases as their data store for analytics workloads. Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities.
Domino Data Lab
APRIL 3, 2019
That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Changes in system architecture get reflected as substantial changes in how we collect, use, and manage data, and therefore become drivers for DG. Granted, I’m no expert in DG.
Domino Data Lab
JULY 22, 2019
He also really informed a lot of the early thinking about data visualization. It involved a lot of interesting work on something new that was data management. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. I definitely recommend Chris as well.
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