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Why Reinvent the Wheel? The Challenges of DIY Open Source Analytics Platforms

Cloudera

data engineering pipelines, machine learning models). In addition to LTS releases, Cloudera provides regular maintenance releases called Service Packs that also include security updates, hotfixes, performance and minor updates that guarantee the security posture and reliability of the platform.

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Kentik Detect for FinServ Networks: Real-World Use Cases

Kentik

This allows non-technical stakeholders from product, marketing, sales, management, and executives to understand the data and gain insight in terms that are relevant to their roles. To learn more about Custom Dimensions, check out our Knowledge Base article. For more information, check out our Dashboards Knowledge Base article.

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The Good and the Bad of Microsoft Power BI Data Visualization

Altexsoft

Marketing departments can track how successful their campaigns perform, predict customer churn , and conduct sentiment analysis. Executives and managers can use the platform to monitor the overall company performance, discover important market trends, and run what-if scenarios to make most effective strategic decisions.

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Metadata Management: Process, Tools, Use Cases, and Best Practices

Altexsoft

It helps understand the data lifecycle, provides full visibility into data usage, and enables traceability (e.g., Data lineage graph. Performing them manually is too much of a hassle. Alation supports active metadata management with its Data Governance App and Data Catalog tools. Source: Oracle.

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The Importance of Chunking in RAG

OpenCredo

This method involves using data retrieved from a knowledge base to assist the LLM in generating its response. Additionally it should help to reduce the chance of hallucinations, by restricting the information in responses to information found in the knowledge base.

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Announcing Cloudera’s Enterprise Artificial Intelligence Partnership Ecosystem

Cloudera

Finally they can deploy the application using CML’s containerized compute sessions powered by NVIDIA GPUs or AWS Inferentia — specialized hardware that improves inference performance while reducing costs. In the AMP, Pinceone’s vector database uses these knowledge bases to imbue context into chatbot responses, ensuring useful outputs.

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Big Data in Healthcare: Sources and Real-World Applications

Altexsoft

In general, a data infrastructure is a system of hardware and software tools used to collect, store, transfer, prepare, analyze, and visualize data. Check our article on data engineering to get a detailed understanding of the data pipeline and its components. Big data infrastructure in a nutshell.

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