Remove Data Integration Remove Information Remove Metadata
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Simplify data integration with AWS Glue and zero-ETL to Amazon SageMaker Lakehouse

AWS Big Data

With the growing emphasis on data, organizations are constantly seeking more efficient and agile ways to integrate their data, especially from a wide variety of applications. In addition, organizations rely on an increasingly diverse array of digital systems, data fragmentation has become a significant challenge.

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Bridging the gap between mainframe data and hybrid cloud environments

CIO Business Intelligence

According to a study from Rocket Software and Foundry , 76% of IT decision-makers say challenges around accessing mainframe data and contextual metadata are a barrier to mainframe data usage, while 64% view integrating mainframe data with cloud data sources as the primary challenge.

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Build a high-performance quant research platform with Apache Iceberg

AWS Big Data

Iceberg offers distinct advantages through its metadata layer over Parquet, such as improved data management, performance optimization, and integration with various query engines. Unlike direct Amazon S3 access, Iceberg supports these operations on petabyte-scale data lakes without requiring complex custom code.

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RDF-Star: Metadata Complexity Simplified

Ontotext

There are no easy answers in life or in Information Architecture. This is why data-driven companies like the FAANGs, global pharma brands and the financial industry have long ago switched to graph databases. Not Every Graph is a Knowledge Graph: Schemas and Semantic Metadata Matter. Design decisions come with tradeoffs.

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7 Benefits of Metadata Management

erwin

Metadata management is key to wringing all the value possible from data assets. However, most organizations don’t use all the data at their disposal to reach deeper conclusions about how to drive revenue, achieve regulatory compliance or accomplish other strategic objectives. What Is Metadata? Harvest data.

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Enterprises can gain an edge with Metadata Management

CIO Business Intelligence

As artificial intelligence (AI) and machine learning (ML) continue to reshape industries, robust data management has become essential for organizations of all sizes. This means organizations must cover their bases in all areas surrounding data management including security, regulations, efficiency, and architecture.

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Monitoring Apache Iceberg metadata layer using AWS Lambda, AWS Glue, and AWS CloudWatch

AWS Big Data

They support structured, semi-structured, and unstructured data, offering a flexible and scalable environment for data ingestion from multiple sources. Data lakes provide a unified repository for organizations to store and use large volumes of data. It’s crucial for maintaining inter-operability between different engines.

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