Elasticsearch is a powerful search engine built to enable the most complex of sites to support incredibly large amounts of data. It allows development teams to slice and dice big data from across varied sources, analyze it and meaningfully present it in an organized manner. Search results can be made more relevant to the users based on the query and available data. A professional Elasticsearch consultant can help bring out the best of your businesses existing and new data: analyzing, segmenting and visualizing this data to increase search relevance and make it work for you.
Here's some projects that our expert Elasticsearch Professionals made real:
- Developing software to integrate Elasticsearch and MySQL databases
- Ingesting CSV files through HTTP with PySpark or Pandas
- Automating log file transfer from AWS CloudWatch into Elasticsearch
- Setting up AWS Lambda functions
Whether your team needs assistance visualizing existing data, integrating multiple sources in your cloud, or transferring files from AWS, an expert Elasticsearch Professional can help. Let us help you unlock the power of Big Data using Elasticsearch. Post your project on Freelancer.com today and start exploring what’s possible for your business.Na podstawie 20,634 opinii klienci oceniają nas na Elasticsearch Professionals 4.84 na 5 gwiazdek.
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I am looking for a big data analyst with ELK( ElasticSearch, Logstash, and Kibana) skills. Main Goal: Data Analysis Current Data Storage System: Elasticsearch, Logstash, Kibana Expected Volume of Data: few MBs Dataset: Your task is to use the ELK stack hosted in GCP. Successful completion of this task includes creating a Logstash configuration file as well as a geo-point template (for maps), provisioning a GCP to host a fully installed, configured and functional ELK stack, firing Logstash to ingest and process (e.g., cleaning, data mutation and conversion, simply data preparation) the NYC 311 service requests data into Elasticsearch and using Kibana to analyze and visualize the results as per the questions given. The required results are: Code for the Logstash configuration file a...
I'm seeking an individual with expertise in managing AWS Amazon EC2 Windows instances. I've developed a Python-based web scraper that extracts data from a website. However, executing the scraper on a single Python instance from my personal computer is proving to be time-consuming. Consequently, I aim to leverage AWS to expedite the execution of this task.
Experience in building and maintaining data engineering solutions in an AWS environment. Strong proficiency in Python coding for data engineering tasks. Hands-on experience with CI/CD practices and tools. Familiarity with AWS data and analytics services (Kinesis, Athena, EMR, S3, etc.). Experience with AWS Management & Governance tools (Config, CloudFormation, CloudWatch).