Elasticsearch is specialist software developed to support high-performance and scalable search and retrieval of data across large datasets. As with comparable software, Elasticsearch works by in-memory indexing of various search criteria, allowing fast local searching of keys which are either returned as-is or used to query the underlying dataset using a basic query with the keys.
Elasticsearch is primarily used in large-scale web applications as a way to speed up search results. This can ensure that user experience remains consistent regardless of the size of the dataset queried.Dari 21,808 ulasan, klien menilai Elasticsearch Professionals kami 4.82 dari 5 bintang.
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I want to add AWS and DB secrets into my github to be used by github action. I have a code that has an AWS database. I want to be able to store the db credentials on github without exposing the secrets so that GitHub action can access it.
Requirement: Technology stack : PERN ( PostGreSQL), elasticsearch, chatGPT on AWS/AZURE/GC 1.A nice looking static one page website with Menu on top with submenu and associated html pages , Register functionality with proper security in place with data going in PostGreSQL ( RDS on AWS or similar in GC or Azure) a profile for the registered customer with a nice looking forms with fields like name,age,hobby, hometown etc. This profile will get saved in Elastic search one the HTML page, there will be a chatGP3 like interface where an user can put the prompts and the request will go to chatGP3 or Open AI API and get the results back and save that into elasticsearch should be text box where user can put some text and it will go to Database and fetch the data based on the input. E.g. Cricke...
An ETL (Extract, Transform, Load) pipeline is a process for extracting data from various sources, transforming it to fit a specific format or structure, and loading it into a target system or database. A project on an ETL pipeline would typically involve the following steps: Extract: The first step is to gather data from various sources such as on-prem, cloud databases, databases, CSV files, or APIs. Transform: In this step, the data is cleaned, transformed, and prepared for loading into the target system. This may involve tasks such as removing duplicate data, converting data types, or applying calculations. Load: The final step is to load the prepared data into the target system, such as a data warehouse or a database. The specific details of the project will depend on the data sourc...
Python as primary skills - Minimum 10 years of hands on experience on core BE development - Experience in providing optimised solutions and code reviews - Expertise in at least one popular Python framework (like FastAPI, OpenAPI, Django, Flask or Pyramid) - Knowledge of object-relational mapping (ORM) - Knowledge of Unit testing framework like Pytest - Knowledge of AWS services like Lambda, DynamoDB, Cloudfront, EC2, ECS, RDS etc - Knowledge of creating RESTful webservices using python in AWS Lambda - Expertise in version control system like Git - Knowledge of SQL database