Elasticsearch Jobs
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.
Contratar a Elasticsearch ProfessionalsNecesito programador para mantener aplicación WEB utilizada para la carga y distribución de viajes de ART entre gerenciador y prestador. Tecnología Utilizadas: 1-Loopback 4 para el backend. 2-React Js 16.12 para el Frontend 3-MySQL como motor de Base de Datos. 4-APIs de Google Maps. 5-ElasticSearch(Phyton) como herramienta externa para la sincronización con el sistema de direcciones de Argentina. 6-OneSignal para las notificaciones PUSH. 7-Flutter como framework que soporta la APP Móvil de Trino. 8-WebSockets para la comunicación y actualización de la información en tiempo real.
expertise in MongoDb, MERN stack,a portal for faculty research work if cse specific profs,with research work listed out, co author network and a word blog,also a small search field for director
Currently we are working on a MVP, and looks like this I will need someone to continue it or start from the beginning. Currently All the Data you will need is either in my postgres, geoserver, or by API. Would this be something you could be interested in? If I had to give a brief discription of every category NSW - Spatial Layers NSW - Spatial Layers Parcel Discovery - Just need to allow users to search through postgres or a mapserver of a layers attributs DA Search: Searches and illustrates data from postgres Realestate1: Show data from an API Realestate Sales: I have a database of all 6.5m houses sold in NSW from 1990 to now, User to be able to search and have data visualisation Realestate Charts: maybe a roll in page, that can illustrate the above data in some charts Feasibility ...
I have a React web app for which I need to do API integration with a third party database. Need to make API calls, save the responses to my MongoDB collection. These API calls have several prerequisites, like Project type, Labor type, Location etc. Response data changes according to the selected options. I need to render the data to my frontend based on a partially matching primary key. Data hierarchy for these API calls is a little complex. Each API call returns over 5000 responses. So while rendering the data to my frontend, I need to filter and match the responses based on "Text" mentioned in couple of columns from the database. I have the full source code in python and C# from the third party to make these API calls. Maybe need to build cross reference tables. Need someone wh...
ELK stack was created on AWS EKS. I can connect to Kibana and checked the elasticsearch is deployed on EKS. Need experienced developer with Elasticsearch. The result should be few line python script to connect to existing elasticsearch. I will give access to check EKS and ELK.
