Remove Data Enablement Remove Events Remove Metadata
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Monitoring Apache Iceberg metadata layer using AWS Lambda, AWS Glue, and AWS CloudWatch

AWS Big Data

It addresses many of the shortcomings of traditional data lakes by providing features such as ACID transactions, schema evolution, row-level updates and deletes, and time travel. In this blog post, we’ll discuss how the metadata layer of Apache Iceberg can be used to make data lakes more efficient.

Metadata 118
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The Power of Graph Databases, Linked Data, and Graph Algorithms

Rocket-Powered Data Science

Entities are the nodes in the graph — these can be people, events, objects, concepts, or places. Each of those cases deeply involves entities (people, objects, events, actions, concepts, and places) and their relationships (touch points, both causal and simple associations).

Metadata 250
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Ingest, transform, and deliver events published by Amazon Security Lake to Amazon OpenSearch Service

AWS Big Data

With OCSF support, the service can normalize and combine security data from AWS and a broad range of enterprise security data sources. OpenSearch Service is a fully managed and scalable log analytics framework that is used by customers to ingest, store, and visualize data. For this post, we select All log and event sources.

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Data Intelligence in the Next Normal; Why, Who and When?

erwin

As we enter 2021, we will also be building off the events of 2020 – both positive and negative – including the acceleration of digital transformation as the next normal begins to be defined. But data without intelligence is just data, and this is WHY data intelligence is required.

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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.

Analytics 111
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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. Furthermore, data events are filtered, enriched, and transformed to a consumable format using a stream processor.

Data Lake 104
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Introducing watsonx: The future of AI for business

IBM Big Data Hub

At IBM, we believe it is time to place the power of AI in the hands of all kinds of “AI builders” — from data scientists to developers to everyday users who have never written a single line of code. Watsonx, IBM’s next-generation AI platform, is designed to do just that.