Remove 2001 Remove Metadata Remove Publishing Remove Visualization
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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 second streaming data source constitutes metadata information about the call center organization and agents that gets refreshed throughout the day.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. My read of that narrative arc is that some truly weird tensions showed up circa 2001: Arguably, it’s the heyday of DW+BI. Agile Manifesto get published. Disconnects, in a nutshell.

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Generate security insights from Amazon Security Lake data using Amazon OpenSearch Ingestion

AWS Big Data

Amazon Security Lake publishes events from four different AWS sources: AWS CloudTrail with subsets for AWS Lambda and Amazon Simple Storage Service (Amazon S3), Amazon Virtual Private Cloud (Amazon VPC) Flow Logs, Amazon Route 53 , and AWS Security Hub. Choose Component templates to verify the OCSF component templates.

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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. I can point to the year 2001. It was also the year, 2001, when “ Agile Manifesto ” was published.

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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

Rather than publish an agenda as most technology conferences do, why not let people mingle, discuss, and propose topics and possible sessions? He’s been out of Wolfram for a while and writing exquisite science books including Elements: A Visual Explanation of Every Known Atom in the Universe and Molecules: The Architecture of Everything.