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chaossearch

3 Transformational Use Cases for Relational Access to Log Data

Nov 7, 2024 By George Hamilton In ChaosSearch
Modern organizations generate and collect vast amounts of log data each day from an ever-increasing number of sources that includes IT infrastructure, networking devices, applications, cloud services, security tools, and more. This data is essential for powering use cases from security operations and threat hunting to application performance monitoring, but tapping into the full potential of log data can be challenging for organizations without the right tools and capabilities.
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yellowfin

What is Natural Language Processing (NLP)? A Beginner's Guide

Nov 6, 2024 By Yellowfin Team In Yellowfin
The way we interact with computers and digital systems has come a long way. Gone are the days of cryptic commands and rigid syntax; today, we can speak naturally to our devices, ask questions in complete sentences, and even have (somewhat) intelligent conversations with chatbots. This transformation is largely thanks to a fascinating field of artificial intelligence (AI) called natural language processing (NLP).
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keboola

The Key to Unlocking QSR Growth

Nov 6, 2024 By Keboola In Keboola
Authors: Martin Fiser, Field CTO at Keboola, and Martin Lepka, Industry Solutions at Keboola The Quick Service Restaurant (QSR) industry sits on a goldmine of data, yet many brands are only scratching the surface with their analytics. Locked within siloed Point-of-Sale (POS) systems across individual franchisees, this data remains underutilized rather than being put to work.
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unravel

Configuration Management in Modern Data Platforms

Nov 6, 2024 By Unravel Data In Unravel
In the world of big data, configuration management is often the unsung hero of platform performance and cost-efficiency. Whether you’re working with Snowflake, Databricks, BigQuery, or any other modern data platform, effective configuration management can mean the difference between a sluggish, expensive system and a finely-tuned, cost-effective one.
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unravel

BigQuery Cost Management

Nov 6, 2024 By Unravel Data In Unravel
Effective cost management becomes crucial as organizations increasingly rely on Google BigQuery for their data warehousing and analytics needs. This checklist delves into the intricacies of cost management and FinOps for BigQuery, exploring strategies to inform, govern, and optimize usage while taking a holistic approach that considers queries, datasets, infrastructure, and more.
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KPIs for Cost Management: Evaluating Costs in Databricks

Nov 5, 2024 By Unravel In Unravel
Precise cost forecasting and management are essential, yet 80% of data management experts struggle (Forrester). The challenges stem from a lack of granular visibility, siloed data, and the absence of AI-driven predictive tools.Discover your new set of metrics to understand and optimize your spending with Unravel Data. Watch this Weekly Walkthrough series, FinOps Metrics that Matter, to understand these core metrics to speak the language of both finance and data engineering, and bridge the gap between technical and business stakeholders.
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thoughtspot

Turbocharging Atlas: How we reduced server initialization time to less than 2 minutes

Nov 5, 2024 By Indresh Gupta In ThoughtSpot
ThoughtSpot prioritizes the high availability and minimal downtime of our systems to ensure a seamless user experience. In the realm of modern analytics platforms, where rapid and efficient processing of large datasets is essential, swift metadata access and management are critical for optimal system performance. Any delays in metadata retrieval can negatively impact user experience, resulting in decreased productivity and satisfaction.
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cloudera

Unlocking Faster Insights: How Cloudera and Cohere can deliver Smarter Document Analysis

Nov 4, 2024 By Kevin Talbert In Cloudera
Today we are excited to announce the release of a new Cloudera Accelerator for Machine Learning (ML) Projects (AMP) for PDF document analysis, “Document Analysis with Command R and FAISS”, leveraging Cohere’s Command R Large Language Model (LLM), the Cohere Toolkit for retrieval augmented generation (RAG) applications, and Facebook’s AI Similarity Search (FAISS).
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