Financial Services Group


Our client faced the challenge of managing a proprietary cloud data platform that proved to be prohibitively expensive and difficult to scale in line with their expanding business. Their objectives included the secure migration of 4,000 data objects within the designated timeframe and budget, with a particular emphasis on ensuring zero-downtime during the migration process for critical datasets. This approach was crucial to avoid service disruptions and facilitate a seamless transition. Additionally, the client aimed to optimize the performance of tactical workloads while achieving cost reductions.



To address these challenges, Stilogic’s data engineering teams demonstrated adaptability by accommodating new requests and adjusting the project’s scope, which tripled as previously undisclosed datasets were discovered during the engagement.

The following services were employed in the project:

1. Development of a migration timeline:

A comprehensive timeline was constructed to guide the migration process, prioritizing the data assets of the most critical services. This strategic approach aimed to maximize the return on investment (RoI) for the migration efforts.

2. Utilization of Apache Spark, Jenkins, and Apache Superset:

These powerful tools were leveraged to facilitate the discovery, visualization, and migration of the data. They provided valuable insights into the datasets and streamlined the migration process.

3. Implementation of SQL functionalities with Hive:

By incorporating SQL functionalities into the project using Hive, the performance of data processing and querying was significantly enhanced. This optimization contributed to improved efficiency and productivity.

4. Introduction of new data models:

Innovative data models were implemented to further improve the system’s overall performance. These models were designed to optimize data organization and structure, resulting in enhanced processing and analysis capabilities.

5. Ensuring zero-disruption migration:

To guarantee a seamless migration process without any disruptions, incremental and read replica switch patterns were employed. These strategies allowed for a smooth transition of critical datasets, ensuring continuous service availability throughout the migration.

In summary, Stilogic’s solution encompassed meticulous planning, strategic utilization of cutting-edge technologies, and seamless migration techniques to address the client’s challenges effectively.

Reduction to operating costs of the data platform

Performance improvement on tactical workloads


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