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A history of tech adaptation for today’s changing business needs

CIO Business Intelligence

The company has been on a continuous journey to adapt its internal and external processes to new business needs and opportunities since 2001.” “Digital transformation is not a new concept for Ipsos,” says global CIO Humair Mohammed.

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How to Use Apache Iceberg in CDP’s Open Lakehouse

Cloudera

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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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Note that data warehouse (DW) and business intelligence (BI) practices both emerged circa 1990. My read of that narrative arc is that some truly weird tensions showed up circa 2001: Arguably, it’s the heyday of DW+BI. A very big mess since circa 2001, and now becoming quite a dangerous mess. Disconnects, in a nutshell.

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Modernize a legacy real-time analytics application with Amazon Managed Service for Apache Flink

AWS Big Data

Datasets used for generating insights are curated using materialized views inside the database and published for business intelligence (BI) reporting. The near-real-time insights can then be visualized as a performance dashboard using OpenSearch Dashboards. Now you can create visualizations in OpenSearch Dashboards.

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Data Science, Past & Future

Domino Data Lab

He also really informed a lot of the early thinking about data visualization. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. Along with your database servers, you had, data warehousing and business intelligence. I can point to the year 2001.