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Run Apache XTable in AWS Lambda for background conversion of open table formats

AWS Big Data

Data architecture has evolved significantly to handle growing data volumes and diverse workloads. Initially, data warehouses were the go-to solution for structured data and analytical workloads but were limited by proprietary storage formats and their inability to handle unstructured data.

Metadata 105
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Build a decentralized semantic search engine on heterogeneous data stores using autonomous agents

AWS Big Data

Large language models (LLMs) such as Anthropic Claude and Amazon Titan have the potential to drive automation across various business processes by processing both structured and unstructured data. Redshift Serverless is a fully functional data warehouse holding data tables maintained in real time.

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Cloudera Named a Visionary in the Gartner MQ for Cloud DBMS

Cloudera

This recognition is a testament to our vision and ability as a strategic partner to deliver an open and interoperable Cloud data platform, with the flexibility to use the best fit data services and low code, no code Generative AI infused practitioner tools.

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Amazon DataZone announces custom blueprints for AWS services

AWS Big Data

With this feature, you can how include Amazon DataZone in your existing data pipeline processes to catalog, share, and govern data. This requirement arises because the data and analytics associated with a particular use case can sometimes involve hundreds of files.

Data Lake 118
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Complexity Drives Costs: A Look Inside BYOD and Azure Data Lakes

Jet Global

Azure Data Lakes are highly complex and designed with a different fundamental purpose in mind than financial and operational reporting. For more on Azure Data Lakes, download this guide: “ Diving into Data Lakes: Is Microsoft’s Modern Data Warehouse Architecture Right for Your Business? ”.

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Salesforce debuts Zero Copy Partner Network to ease data integration

CIO Business Intelligence

Zero-copy integration eliminates the need for manual data movement, preserving data lineage and enabling centralized control fat the data source. Currently, Data Cloud leverages live SQL queries to access data from external data platforms via zero copy. Ground generative AI.

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Why Your Data Lineage is Incomplete Without an Automated Business Glossary

Octopai

Read our eBook to learn more Download the eBook. Automated Discovery – A discovery module can take all sorts of metadata from files, databases, systems, structured data, and unstructured data – to bring that metadata into a repository, run data lineage on it, and discover what’s there.