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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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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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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. For sts_role_arn , enter the ARN of pipeline-role. Set region as us-east-1.

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Data Science, Past & Future

Domino Data Lab

I can point to the year 2001. It was also the year, 2001, when “ Agile Manifesto ” was published. Dave led his current crop of grad students to publish a follow-up study, 10 years in the day, afterword, and it’s called “ A Berkeley’s View on Serverless. All righty. Where did this happen?

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The Semantic Web: 20 Years And a Handful of Enterprise Knowledge Graphs Later

Ontotext

The second one is the Linked Open Data (LOD): a cloud of interlinked structured datasets published without centralized control across thousands of servers. There are more than 80 million pages with semantic, machine interpretable metadata , according to the Schema.org standard. Take this restaurant, for example.

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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? The gist is, leveraging metadata about research datasets, projects, publications, etc., People consider the experience intense, unexpected, and life-changing.