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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.

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Metadata is Like Packaging: Seeing Beyond the Library Card Metaphor

Ontotext

way we package information has a lot to do with metadata. The somewhat conventional metaphor about metadata is the one of the library card. 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.

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A Data Prediction for 2025

DataKitchen

Central IT Data Teams focus on standards, compliance, and cost reduction. ’ They are data enabling vs. value delivery. Their software purchase behavior will align with enabling standards for line-of-business data teams who use various tools that act on data. Recession: the party is over.

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Best Practices for Data Catalog Implementation

Octopai

For business users Data Catalogs offer a number of benefits such as better decision-making; data catalogs provide business users with quick and easy access to high-quality data. This availability of accurate and timely data enables business users to make informed decisions, improving overall business strategies.

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

erwin

I have long stated that data is the lifeblood of digital transformation, and if the pandemic really has accelerated digital transformation, then the trends reported in IDC’s worldwide surveys make sense. But data without intelligence is just data, and this is WHY data intelligence is required.

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

Rocket-Powered Data Science

The training data and feature sets that feed machine learning algorithms can now be immensely enriched with tags, labels, annotations, and metadata that were inferred and/or provided naturally through the transformation of your repository of data into a graph of data.

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How AI-driven data management helps organizations meet rising regulatory challenges

CIO Business Intelligence

Greater visibility of data is also required for businesses to be able to determine the nature of a document in order to understand, for example, whether it is confidential information, a work product, or an HR document. Getting full visibility of data enables businesses to put in place a defensible data management process.