Having provided professional services to various firms for DevOps, data and database, we notice one common pain point, regardless of industry:
C-suite, operations, finance, business development, tech, customer experience, all need accurate data to operate efficiently, but the needed data is often spread across disparate databases.
A central data warehouse provides immense benefits, but it’s difficult and costly to set up.
The traditional, common solution of setting up a central data warehouse could take:
Tetmon's Edgeset integrates various cloud and on-premise databases into a single point of access so that you can easily query large data within your organisation, without technical expertise!
DBeaver
Metabase
Python
Redash
Superset
Data integration layer
Alibaba OSS
Amazon Redshift
Apache Kafka
ElasticSearch
Google BigQuery
Microsoft SQL Server
Excel
Sheets
MongoDB
MySQL
PostgreSQL
Amazon S3
And other on-premise and cloud databases.
EdgeSet Core Benefits
Automation:
Reduce error + time spent
Cost savings
Insights in minutes
Data transforms are now cheap & easy. Reduced ETL & data engineering headcount.
Features
User access + Privacy controls
Data Discovery:
Hive/ AWS Glue not needed
Secure on-premise or
web deployment
Case Study
One of Singapore's premier financial institutions uses EdgeSet to join multiple Excels, to generate cost savings
Situation Before Edgeset
- 5-person Operations team has to regularly work till midnight to reconcile trades
- Data errors hinder trade analysis
After Implementing EdgeSet
- Operations staff can now go home on-time
- Automation reduced manual "eye-ball" checks
Cost Benefits
- 6 manhours saved, per day
Other Benefits
- Better trade analysis
- Reduced human error
Deployment
For a typical pilot run, EdgeSet can be deployed within 1 to 5 working days
Sign order form & decide on data sources
30 minutes video walkthrough
Client provide data source details
30 minute video call to ensure successful deployment