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The rise of the data lakehouse: A new era of data value

CIO

The giant pharmaceutical chain had put its lakehouse in place to address just such challenges in its quest, to, as Guadagno puts it, “To get the right product in the right place for the right patient.”. What’s super important is that it takes away ETL jobs,” he says, adding, “With Dremio, if the data is in S3, you can query what you want.”.

Data 210
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What is a data architect? Skills, salaries, and how to become a data framework master

CIO

Cloud data architect: The cloud data architect designs and implements data architecture for cloud-based platforms such as AWS, Azure, and Google Cloud Platform. Data security architect: The data security architect works closely with security teams and IT teams to design data security architectures.

Data 199
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How CIOs overcome the challenges of leading IT in smaller cities

CIO

“If we want to beat competition in the pharmaceutical industry, we must make use of next generation of technologies such as cloud, big data, and analytics. Mishra has got his team members certified on AWS and advanced modules of S/4HANA to meet his technology needs for cloud and SAP respectively. “We

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Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

AWS Machine Learning - AI

By segment, North America revenue increased 12% Y oY from $316B to $353B, International revenue grew 11% Y oY from$118B to $131B, and AWS revenue increased 13% Y oY from $80B to $91B. The template is compatible with and can be modified for other LLMs, such as LLMs hosted on Amazon Sagemaker Jumpstart and self-hosted on AWS infrastructure.

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Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

AWS Machine Learning - AI

SnapLogic uses Amazon Bedrock to build its platform, capitalizing on the proximity to data already stored in Amazon Web Services (AWS). Control plane and data plane implementation SnapLogic’s Agent Creator platform follows a decoupled architecture, separating the control plane and data plane for enhanced security and scalability.

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Perficient Healthy Lakehouse Accelerates Time and Cost to Value

Perficient

Over the past few years, we’ve pulled together a set of architectural design patterns, and frameworks, which can help reduce the time and cost it takes to get to value when building a healthcare data lake, data warehouse, and analytics solution. We call this framework the Healthy Lakehouse.

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The Good and the Bad of Databricks Lakehouse Platform

Altexsoft

But what do the gas and oil corporation, the computer software giant, the luxury fashion house, the top outdoor brand, and the multinational pharmaceutical enterprise have in common? The answer is simple: They use the same technology to make the most of data. Shell, Adobe, Burberry, Columbia, Bayer — you definitely know the names.