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Enrich your serverless data lake with Amazon Bedrock

AWS Big Data

For many organizations, this centralized data store follows a data lake architecture. Although data lakes provide a centralized repository, making sense of this data and extracting valuable insights can be challenging. About the Authors Dave Horne is a Sr.

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4 ways generative AI addresses manufacturing challenges

IBM Big Data Hub

For example, as manufacturers, we create a knowledge base, but no one can find anything without spending hours searching and browsing through the contents. Or we create a data lake, which quickly degenerates to a data swamp. Or we keep adding applications, so our technical debt continues to increase.

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Accelerating model velocity through Snowflake Java UDF integration

Domino Data Lab

At a certain point, as the demand keeps growing, the data volumes rapidly increase. Data is no longer stored in CSV files, but in a dedicated, purpose built data lake / data warehouse. The challenges surface once the company hits the scalability wall. About Domino.

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Top Graph Use Cases and Enterprise Applications (with Real World Examples)

Ontotext

Graphs boost knowledge discovery and efficient data-driven analytics to understand a company’s relationship with customers and personalize marketing, products, and services. As such, most large financial organizations have moved their data to a data lake or a data warehouse to understand and manage financial risk in one place.

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Considerations to Creating a Graph Center of Excellence: 5 Elements to Ensure Success

Ontotext

As a result, contextualized information and graph technologies are gaining in popularity among analysts and businesses due to their ability to positively affect knowledge discovery and decision-making processes. But until they connect the dots across their data, they will never be able to truly leverage their information assets.