Remove Data Enablement Remove Data Integration 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.

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Constructing A Digital Transformation Strategy: Putting the Data in Digital Transformation

erwin

Once you’ve determined what part(s) of your business you’ll be innovating — the next step in a digital transformation strategy is using data to get there. Constructing A Digital Transformation Strategy: Data Enablement. Many organizations prioritize data collection as part of their digital transformation strategy.

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Collibra Provides a Platform for Data Intelligence

David Menninger's Analyst Perspectives

As I recently noted , the term “data intelligence” has been used by multiple providers across analytics and data for several years and is becoming more widespread as software providers respond to the need to provide enterprises with a holistic view of data production and consumption.

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Usability and Connecting Threads: How Data Fabric Makes Sense Out of Disparate Data

Ontotext

A data fabric utilizes an integrated data layer over existing, discoverable, and inferenced metadata assets to support the design, deployment, and utilization of data across enterprises, including hybrid and multi-cloud platforms. It also helps capture and connect data based on business or domains.

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Amazon Redshift announcements at AWS re:Invent 2023 to enable analytics on all your data

AWS Big Data

These announcements drive forward the AWS Zero-ETL vision to unify all your data, enabling you to better maximize the value of your data with comprehensive analytics and ML capabilities, and innovate faster with secure data collaboration within and across organizations.

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

AWS Big Data

Analyzing XML files can help organizations gain insights into their data, allowing them to make better decisions and improve their operations. Analyzing XML files can also help in data integration, because many applications and systems use XML as a standard data format. xml and technique2.xml. Choose Create.

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Key Insights: Forrester’s New Data Governance Solutions Landscape

Alation

The impact of AI and automation , which power platforms to achieve data governance driven by and centered around metadata. In reviewing vendors in the data governance space, Forrester identified the following core use cases, citing what buyers most often seek and which are addressed by data governance solutions: Data discovery.