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

erwin

As the economy slowed, they focused on cost optimization. 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. Technical metadata is what makes up database schema and table definitions.

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Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

Advanced analytics and enterprise data empower companies to not only have a completely transparent view of movement of materials and products within their line of sight, but also leverage data from their suppliers to have a holistic view 2-3 tiers deep in the supply chain. Digital Transformation is not without Risk.

Analytics 108
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The Future of the Data Lakehouse – Open

Cloudera

It provided the concept of a database, schemas, and tables for describing the structure of a data lake in a way that let BI tools traverse the data efficiently. The second generation of the Hive Metastore added support for transactional updates with Hive ACID.

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The Future of the Data Lakehouse – Open

CIO Business Intelligence

It provided the concept of a database, schemas, and tables for describing the structure of a data lake in a way that let BI tools traverse the data efficiently. The second generation of the Hive Metastore added support for transactional updates with Hive ACID.

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5 Ways Data Engineers Can Support Data Governance

Alation

Offer the right tools Data stewardship is greatly simplified when the right tools are on hand. So ask yourself, does your steward have the software to spot issues with data quality, for example? Do they have a system to manage the metadata for given assets? One example is the EU’s General Data Protection Regulation (GDPR).

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Exploring real-time streaming for generative AI Applications

AWS Big Data

Streaming data facilitates the constant flow of diverse and up-to-date information, enhancing the models’ ability to adapt and generate more accurate, contextually relevant outputs. Data streaming also helps you optimize data pipelines by processing only the change events, allowing you to respond to data changes more quickly and efficiently.

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

AWS Big Data

By analyzing XML files, organizations can easily integrate data from different sources and ensure consistency across their systems, However, XML files contain semi-structured, highly nested data, making it difficult to access and analyze information, especially if the file is large and has complex, highly nested schema. Choose Create.