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What is data architecture? A framework to manage data

CIO Business Intelligence

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Data integrity.

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Innovative data integration in 2024: Pioneering the future of data integration

CIO Business Intelligence

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

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

AWS Big Data

To achieve this, we recommend specifying a run configuration when starting an upgrade analysis as follows: Using non-production developer accounts and selecting sample mock datasets that represent your production data but are smaller in size for validation with Spark Upgrades. 2X workers and auto scaling enabled for validation.

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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

This is the essence of the concept of Data Intelligence and is combined with the company’s core functionality for data integration, data governance, data quality, data lineage, data privacy and AI governance in the Collibra Data Intelligence Platform.

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

AWS Big Data

As data volumes grow, the complexity of maintaining operational excellence also increases. Monitoring and tracking issues in the data management lifecycle are essential for achieving operational excellence in data lakes. This is where Apache Iceberg comes into play, offering a new approach to data lake management.

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Data Teams and Their Types of Data Journeys

DataKitchen

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. It explores why DataKitchen’s ‘Data Journeys’ capability can solve these challenges.