INDUSTRY OVERVIEW
Lemnisk’s a Customer Data Platform-led personalization and real-time marketing automation solution delivers superior customer experiences that result in increased conversions, retention, and growth for enterprises. With a global customer base and growing data needs, Our Customer sought to optimize its data processing and analysis capabilities by leveraging cloud infrastructure and modern data engineering practices.
CHALLENGE
To optimize and improve existing MapReduce jobs, analyze the system and identify areas for improvement. Create a plan to migrate the jobs to Elastic MapReduce clusters scheduled via Apache Airflow. Configure and set up the EMR clusters and Apache Airflow, implement the migration plan, and test thoroughly to ensure required performance and functionality standards are met. Set up monitoring using tools like Prometheus and Grafana to track performance and identify potential issues. Successful migration requires careful planning, testing, and monitoring.
Gaps in the current system:
- When planning a migration, it is crucial to ensure that it does not impact existing business processes and data flow. This means that the new system or platform being adopted should seamlessly integrate with the existing infrastructure, and data should be transferred without any loss or corruption
- The migration should be completed within the agreed-upon timeline and budget
Why were we brought in?
Ganit has made a significant dent in various industries using data science and analysis. Ganit partners with clients to translate their data into a tangible, insightful plan of action that delivers on a measurable impact to the clients’ topline & bottom-line growth.
