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

Rocket-Powered Data Science

In 2019, I was asked to write the Foreword for the book “ Graph Algorithms: Practical Examples in Apache Spark and Neo4j “ , by Mark Needham and Amy E. I wrote an extensive piece on the power of graph databases, linked data, graph algorithms, and various significant graph analytics applications. Graph Algorithms book.

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Introducing generative AI upgrades for Apache Spark in AWS Glue (preview)

AWS Big Data

job reads a dataset, updated daily in an S3 bucket under different partitions, containing new book reviews from an online marketplace and runs SparkSQL to gather insights into the user votes for the book reviews. spark.sql.adaptive.enabled is enabled by default. spark.sql.adaptive.enabled is enabled by default. .*)

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What is data architecture? A framework to manage data

CIO Business Intelligence

The goal of many modern data architectures is to deliver real-time analytics the ability to perform analytics on new data as it arrives in the environment. Data architectures should integrate with legacy applications using standard API interfaces. Real-time data enablement. Be decoupled and extensible.

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Metadata is Like Packaging: Seeing Beyond the Library Card Metaphor

Ontotext

This metaphor has it that books are the data and library cards are the metadata helping us find what we need, want to know more about or even what we don’t know we were looking for. Or like everything written on a library index card to help the content – the book – get delivered to the reader. The one from packaging.

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Operational Finance in the Age of Covid-19: Time to Change the Basics?

Jet Global

Not only have finance teams had to close companies’ books remotely, but they’ve also been required to provide the insight and information needed for some extremely complex decision-making, and continuously plan and forecast for events with little or no historical context. Invariably, these activities have seen added stress in 2020.

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Four Ways Telcos Can Realize Data-Driven Transformation

Cloudera

For data engineers, data scientists, and other experts, a hybrid data platform simplifies access to distributed data, enabling them to design reliable, idempotent, low-latency data pipelines that integrate real-time data from the network edge to feed operational analytics, or ML-powered, AI-automated applications and services.

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Customizing Personal Lines Insurance with Location Data

Cloudera

Real-time access to phone location data can be used by travel insurers to create products that only become active when the phone (and hopefully the human attached to it) crosses country borders or travels beyond a specific distance.