Remove 2001 Remove 2005 Remove Business Intelligence Remove Visualization
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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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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.