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The Power of Graph Databases, Linked Data, and Graph Algorithms

Rocket-Powered Data Science

Any interaction between the two ( e.g., a financial transaction in a financial database) would be flagged by the authorities, and the interactions would come under great scrutiny. Any node and its relationship to a particular node becomes a type of contextual metadata for that particular note.

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Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

Advanced analytics and enterprise data empower companies to not only have a completely transparent view of movement of materials and products within their line of sight, but also leverage data from their suppliers to have a holistic view 2-3 tiers deep in the supply chain.

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The Future of the Data Lakehouse – Open

CIO Business Intelligence

But there was a better way: enter the Hive Metastore, one of the sleeper hits of the data platform of the last decade. As use cases matured, we saw the need for both efficient, interactive BI analytics and transactional semantics to modify data. Iterations of the lakehouse.

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Why I Joined Alation: A Former Customer’s Story

Alation

One of the first steps in any digital transformation journey is to understand what data assets exist in the organization. When we began, we had a very technical and archaic tool, an enterprise metadata management platform that cataloged our assets. The people behind the data are key. It was terribly complex.

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The Future of the Data Lakehouse – Open

Cloudera

But there was a better way: enter the Hive Metastore, one of the sleeper hits of the data platform of the last decade. As use cases matured, we saw the need for both efficient, interactive BI analytics and transactional semantics to modify data. Iterations of the lakehouse.

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Exploring real-time streaming for generative AI Applications

AWS Big Data

Streaming data facilitates the constant flow of diverse and up-to-date information, enhancing the models’ ability to adapt and generate more accurate, contextually relevant outputs. AWS Glue can interact with streaming data services such as Kinesis Data Streams and Amazon MSK for processing and transforming CDC data.

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Process and analyze highly nested and large XML files using AWS Glue and Amazon Athena

AWS Big Data

With these techniques, you can enhance the processing speed and accessibility of your XML data, enabling you to derive valuable insights with ease. Process and transform XML data into a format (like Parquet) suitable for Athena using an AWS Glue extract, transform, and load (ETL) job. xml and technique2.xml. Choose Create.