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Featured

Kafka: The story so far
AnalysisBusinessDatabasesFeaturedInterviewReal-time DataTechnical

Kafka: The story so far

Hard problems at scale, the future of application development, and building an open source business. If any of that is…

Jun 20, 2017
Artificial intelligence on Hadoop: Does it make sense?

Artificial intelligence on Hadoop: Does it make sense?

May 26, 2017
Graph databases and RDF: It’s a family affair

Graph databases and RDF: It’s a family affair

May 19, 2017
The continuing rise of graph databases

The continuing rise of graph databases

May 15, 2017
Advertising data going forward: Transparency and scale

Advertising data going forward: Transparency and scale

May 10, 2017

Analysis

Graph analytics and knowledge graphs facilitate scientific research for COVID-19
AnalyticsData ScienceFeaturedInterviewKnowledge GraphsNewsOpen DataSocio-TechnicalUse Case

Graph analytics and knowledge graphs facilitate scientific research for COVID-19

Apr 9, 2020
Make Apache Cassandra great again: DataStax going cloud, Kubernetes, open source, and multi-model
BusinessCloudDatabasesInterviewNewsOpen SourceTechnical

Make Apache Cassandra great again: DataStax going cloud, Kubernetes, open source, and multi-model

Mar 31, 2020
Business intelligence, meet graph. Neo4j introduces BI connector for data discovery tools
AnalyticsDatabasesGraph DatabasesInterviewNewsTechnical

Business intelligence, meet graph. Neo4j introduces BI connector for data discovery tools

Mar 24, 2020
Data science vs the COVID-19 pandemic: Flattening the curve — but how?
AnalysisAnalyticsData ScienceFeaturedSocio-TechnicalUse Case

Data science vs the COVID-19 pandemic: Flattening the curve — but how?

Mar 20, 2020
Graph analytics for the people: No code data migration, visual querying, and free COVID-19 analytics by TigerGraph
Graph Analytics & Data ScienceGraph DatabasesInterviewNewsTechnical

Graph analytics for the people: No code data migration, visual querying, and free COVID-19 analytics by TigerGraph

Mar 16, 2020
Machine learning vs payment fraud: Transparency and humans in the loop to minimize customer insults
AI / Machine LearningAnalysisAnalyticsBusinessInterviewTechnicalUse Case

Machine learning vs payment fraud: Transparency and humans in the loop to minimize customer insults

Mar 10, 2020

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