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Building and Evaluating GenAI Knowledge Management Systems using Ollama, Trulens and Cloudera

Cloudera

In modern enterprises, the exponential growth of data means organizational knowledge is distributed across multiple formats, ranging from structured data stores such as data warehouses to multi-format data stores like data lakes. This makes gathering information for decision making a challenge.

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Eight Top DataOps Trends for 2022

DataKitchen

A domain has an important job and a dedicated team – five to nine members – who develop an intimate knowledge of data sources, data consumers and functional nuances. For example, managing ordered data dependencies, inter-domain communication, shared infrastructure, and incoherent workflows.

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Migrate a petabyte-scale data warehouse from Actian Vectorwise to Amazon Redshift

AWS Big Data

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data.

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How Gilead used Amazon Redshift to quickly and cost-effectively load third-party medical claims data

AWS Big Data

Amazon Redshift Serverless is a fully managed cloud data warehouse that allows you to seamlessly create your data warehouse with no infrastructure management required. Redshift Serverless measures data warehouse capacity in Redshift Processing Units (RPUs), which are part of the compute resources.

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5 ways to maximize your cloud investment

CIO Business Intelligence

Measure often, monitor constantly Proper insights require both a knowledge of desired business outcomes overall and for each business unit, and ongoing monitoring of key metrics. But for other tools where latency isn’t critical, we don’t measure it.” “What exactly happens if you go over and what will they charge you?”

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What a quarter century of digital transformation at PayPal looks like

CIO Business Intelligence

“This also allows us to have the best in terms of global technology, fraud mitigation and prevention, and cybersecurity measures in all markets, all while complying with local regulations and compliance requirements.” At the lowest layer is the infrastructure, made up of databases and data lakes.

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10 Things AWS Can Do for Your SaaS Company

Smart Data Collective

Data storage databases. Your SaaS company can store and protect any amount of data using Amazon Simple Storage Service (S3), which is ideal for data lakes, cloud-native applications, and mobile apps. Well, let’s find out. Artificial intelligence (AI). Easy to use. You can therefore trust its reliability.