In the dynamic landscape of financial services, data is not just currency; it's the key to innovation and operational excellence. Data is constantly streamlining from devices, logins, transfers, transactions, and much more, and it’s bound to increase with an ongoing reliance on digital channels. This creates a massive opportunity and responsibility for financial institutions, … [Read more...] about Financial sector operational excellence with Elasticsearch on AWS
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How to deploy and manage Elasticsearch on Azure
2. Click on the checkboxes for subscription activity logs and/or resource logs.3. Optionally, you can specify tag rules to include or exclude specific resources from log collection. By default, if no tag rule is specified, the logs from all supported resources will be ingested.4. Select Save (or finish creating your resource). Log data will begin to appear in Elastic shortly … [Read more...] about How to deploy and manage Elasticsearch on Azure
Revolutionizing telco procurement with the Elasticsearch Platform: A comprehensive approach to unifying licensing and reducing costs
Based on Elastic’s all-inclusive platform approach, organizations can optimize and streamline operations with significant cost savings. Many organizations are focussing on reducing tools, and Elastic is the solution of choice to facilitate and accelerate this movement. Given that telcos often work with a diverse ecosystem of vendors to support various aspects of their … [Read more...] about Revolutionizing telco procurement with the Elasticsearch Platform: A comprehensive approach to unifying licensing and reducing costs
Preload Elasticsearch with your dataset
docker pull docker.elastic.co/elasticsearch/elasticsearch:8.7.0 docker network create elastic docker run --name es01 --net elastic -p 9200:9200 -it docker.elastic.co/elasticsearch/elasticsearch:8.7.0curl -s -k -u elastic:CHANGEME https://localhost:9200 | jq{ "name": "697bf734a5d5", "cluster_name": "docker-cluster", "cluster_uuid": "cMISiT__RSWkoKDYql1g4g", "version": { … [Read more...] about Preload Elasticsearch with your dataset
What is an Elasticsearch index?
You may have heard about vector search, but what is it? Vector search engines — known as vector databases, semantic, or cosine search — find the nearest neighbors to a given (vectorized) query. The power of vector search is that it discovers similar documents that are not an exact textual match, as would be required by our inverted index example above; it instead uses vectors … [Read more...] about What is an Elasticsearch index?
Elasticsearch and data architecture: 4 essential tools for improved analysis and storage
Organizations are becoming increasingly more reliant on data to make effective, evidence-based decisions to drive business outcomes. Whether this be assessing market conditions and improving customer experience, ensuring application uptime, or securing an organization, data from multiple sources — including consumers and internal systems — is critical to day-to-day … [Read more...] about Elasticsearch and data architecture: 4 essential tools for improved analysis and storage
How to use Elasticsearch and Time Series Data Streams for observability metrics
With integrations, we give our users an out of the box experience to integrate with their infrastructure and services. If you are using our integrations, eventually you will automatically get all the benefits of TSDS for your metrics assuming you are on version 8.7 or newer.Currently we are working through the list of our integration packages, add the dimensions, metric type … [Read more...] about How to use Elasticsearch and Time Series Data Streams for observability metrics
ChatGPT and Elasticsearch: OpenAI meets private data
In recent months, there has been a surge of excitement around ChatGPT, a groundbreaking AI model created by OpenAI. But what exactly is ChatGPT? Based on the powerful GPT architecture, ChatGPT is designed to understand and generate human-like responses to text inputs. GPT stands for "Generative Pre-trained Transformer.” The Transformer is a cutting-edge model architecture that … [Read more...] about ChatGPT and Elasticsearch: OpenAI meets private data
How we implemented frequent item set mining in Elasticsearch
Choosing the base algorithmMost famous and best known is the Apriori algorithm. Apriori builds candidate item sets breath first. It starts with building sets containing only one item and then expanding those sets in every iteration by one more item. After sets have been generated, they are tested against the data. Infrequent sets — those that do not reach a certain support, … [Read more...] about How we implemented frequent item set mining in Elasticsearch
How many shards should I have in my Elasticsearch cluster?
Editor’s Note: The rule of thumb on “Aim for 20 shards or fewer per GB of heap memory” has been deprecated in version 8.3. This blog has been updated to reflect the new recommendation.Elasticsearch is a very versatile platform that supports a variety of use cases and provides great flexibility around data organisation and replication strategies. This flexibility can, however, … [Read more...] about How many shards should I have in my Elasticsearch cluster?