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 Elasticsearch Professionals
I'm looking for a freelancer who can create video courses on 'Developer Tools - Elasticsearch' that could be hosted on an online learning platform. Please revert on your experience in online training and the language that will be used in the training.
We are looking for an experienced Python developer for web scraping. The development environment is CentOS / Linux and the database is PostgreSQL. The job entails the following: Scraping data from website; inserting data into PostgreSQL database; writing an updating script that grabs periodic updates from the source; writing an export tool to export data from the database to a CSV file; testing,...
GDPR requires the implementation of a method that enables detection of documents and datapoints that can be directly connected or related to a specific individual. Our customer (a hosting provider) needs to be able to perform advanced freetext and property searches in thousands of documents stored on their infrastruture by customers.
I need someone to find the best way of cleaning address data in multiple columns in two very large data sets (>10gb csvs, to then merge the data sets. I can provide google drive links to the data. I need both data sets merged into one data set after.