You will get a ClickHouse expert to help you migrate log files


Project details
When logs are labeled with high-cardinality attributes like request ID, geolocation, or IP address, they provide high-resolution insight into the production environment.
The ability to study logs is extremely useful for debugging online systems and detecting intriguing trends that might help enhance product quality.
Based on personal experience and feedback from users that got this system, it's evident that ClickHouse is an excellent platform and a fantastic analytics engine that is able to fulfill the extensive log analytic needs of any company
The ability to study logs is extremely useful for debugging online systems and detecting intriguing trends that might help enhance product quality.
Based on personal experience and feedback from users that got this system, it's evident that ClickHouse is an excellent platform and a fantastic analytics engine that is able to fulfill the extensive log analytic needs of any company
What's included
| Service Tiers |
Starter
$3,000
|
Standard
$4,000
|
Advanced
$5,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 1 | 1 | 1 |
Number of Tables Added | 1 | 3 | 6 |
Schema Diagram | |||
Permissions Setup | |||
Import/Export Data | |||
Admin Panel Setup | - | - | - |
About Tony
Visualization/Data Expert - Data Scientist - Data Engineer
Victoria, Malta - 10:09 pm local time
Develop and maintain machine learning models. Orchestrate pipelines for multiple machine learning projects including but not limited to player lifecycle management, machine anomaly detections and Segmentation.
Research and define data metrics related to business problems.
I'm also an expert in Data Engineering and i can assist in the Design and implementation of data pipelines through which structured and semi-structured data gets ingested.
Tech stack:
Research Framework: Jupyter
Streaming Frameworks: Faust | Kafka | Spark
ETL Frameworks: Airflow | Prefect | Airbyte | Fivetran
API Frameworks: Fast API
Databases: SQL-Server | Clickhouse | Snowflake | MYSQL | PostgreSQL
Devops: Docker | Kubernetes
Visualization Tools: Streamlit | Redash | Qliksense | Metaabse
Steps for completing your project
After purchasing the project, send requirements so Tony can start the project.
Delivery time starts when Tony receives requirements from you.
Tony works on your project following the steps below.
Revisions may occur after the delivery date.
Discuss Monthly Infrastructure Budget
Infrastructure needs to run on the cloud so we would need to discuss what budget will allocate monthly for the tools to run as per requirements. This impacts the sync of the data as well, daily data is cheaper than hourly data. Needs prior discussion
Start working on the Python Script
This will move data from your logs to the CH data warehouse ... This might be a batch process or a streaming process depending on how you are storing logs