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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.” And last year, with AI-powered Insights Delivery, it completed a phase of its journey using artificial intelligence to transform the way it works and delivers insights to clients.

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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

This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form. for DG adoption in the enterprise. Process efficiency ( cost reduction ) is generally ?a

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Data Science, Past & Future

Domino Data Lab

There’s a really nice comfortable blend here of what’s important in business, in engineering, in data science, etc. 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.

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

AWS Big Data

The lift and shift migration approach is limited in its ability to transform businesses because it relies on outdated, legacy technologies and architectures that limit flexibility and slow down productivity. The near-real-time insights can then be visualized as a performance dashboard using OpenSearch Dashboards.