How to Use Fuzziness for Better Searches in Elasticsearch

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🔍 Fuzziness in Elasticsearch: Dive deep into the world of fuzzy searches with this comprehensive guide! In this video, we'll explore:

📖 What is Fuzziness?: Understand the concept and its significance in text matching.
🛠 How to Implement: Practical steps to employ fuzziness in your Elasticsearch queries.
🎯 Use Cases: Real-world examples where fuzziness can make a difference.
📈 Performance Tips: Ensure your fuzzy searches are efficient and effective.
💡 Best Practices: Get the most out of your fuzzy searches in Elasticsearch.
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Please do add midlevel concepts also, very informative playlist on Elastic search.

ragingpahadi
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Hi Vipul, Thanks for these lectures of ELS, it is totally worth .
Just one request, Can you please provide us the lectures ppt or notes which can help us to revise those concepts in short time .

AshishSharma-ujol
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I subscribed to official elastic training but your videos are more superior and quick

mdabdulmoiz
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Need detailed videos on Logstash and Beats, please upload it'll be very helpful for us

HardikSharma-ub
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one of the best tutorials, simple and to the point. Can u pl make video on thread pool and watermark in Elasticsearch..

FusionFunFlicks
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This complete play list is much better than paid udemy elasticsearch course. 👍 keep going.

VikasSolanki-iuch
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Thanks aton for such great videos! Are you planning to upload more advanced topics wrt elastic stack?

jasjeetsingh
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hi sir, can you please make a video on vector

GuptaVivek-xwkw
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Hi Vipul,
Can you please make video on search template moustache,
and cluster node decisions architecture.

Ashish__Pathak
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Helllo Sir,
Pls upload more videos on indepth topics of ELK stack like routing, ILM, sending data through logstash, creating pipelines etc.

AdityaPratapSingh-mbjv
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Hi bro, your whole lecture and knowledge totally worth it. But please can you make a video on all usecase of ilm and creation of ilm with rollover document. Pe video bna dijea...hot topic bna huya hai..market mai or itna acha koi or explain nahi kr rha

akshaysaini
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Also can you provide all widgt elk tour like dashboad, apn, logstash, map and management and monitoring etc all widgt explain

akshaysaini
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Hi I possess 2.5 billion records, consuming nearly 1 terabyte of space. Each document encompasses 21 fields, with 4 of them currently mapped and set to auto-update off. What is the optimal configuration in terms of the number of shards, nodes, and the minimum required compute power and RAM to ensure Elasticsearch can efficiently manage 20 requests per second with a response time below 100 milliseconds?

YawarAli_