IMPACT BY THE NUMBER
2X
reduction in the cost of data analytics
20TB+
data migrated from 50+ diverse sources into IDP
75+
use cases implemented
The Challenge
A telco wanted to build an analytics infrastructure to enable a 360-degree real-time view of customers, business operations and to reduce the cost by sunsetting the expensive legacy systems after migration of data and reports into the new data platform.
The Solution
A modern data platform architecture was designed, provisioned and optimized for performance, scalability and cost efficiency.
Salient features of the platform were:
- 20TB+ data migration and sunsetting of legacy systems
- Data ingestion data from 50+ diverse sources into IDP
- Tiered storage to optimize query and cost optimization. MDM was implementation on semantic layer for multiple domains.
- Enabled Data Virtualization layer and integrated seamlessly with BI reporting for improved access management and governance
- Development and deployment of 75+ use cases
The Results
- The built data analytics platform enabled business users to gain real-time insights for decision making and a 2x reduction in the cost of data analytics infrastructure and licensing was observed. Within two years of platform launch, 75+ use cases have been implemented successfully and a daily volume of ~25 TB is generated for the data platform from over 50 source systems.
Technologies Used
![](https://addo.ai/wp-content/uploads/2022/08/Kubernetes.png)
Kubernetes
![](https://addo.ai/wp-content/uploads/2023/06/talend.png)
Talend
![](https://addo.ai/wp-content/uploads/2023/06/Jupyter.png)
Jupyter Notebook
![](https://addo.ai/wp-content/uploads/2023/06/Yarn.png)
YARN
![](https://addo.ai/wp-content/uploads/2023/06/8.png)
Sqoop
![](https://addo.ai/wp-content/uploads/2023/06/Qlik.png)
Qlik
![](https://addo.ai/wp-content/uploads/2023/06/Cloudera.png)
Cloudera/HDFS
![](https://addo.ai/wp-content/uploads/2023/06/Hive.png)
Hive
![](https://addo.ai/wp-content/uploads/2023/06/Vertica.png)
Vertica
![](https://addo.ai/wp-content/uploads/2023/06/Apache-Hadoop.png)
Apache hadoop
![](https://addo.ai/wp-content/uploads/2023/06/Apache-Spark.png)
Apache Spark
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