Title

AWS re:Invent 2022 - Charter Communications’ journey to modern cloud analytics architecture (PRT231)

Summary

Ashish Yashnik from Teradata and Peter Singla from Charter Communications discuss the modernization journey of data and analytics as organizations migrate to the cloud.
Key challenges in data analytics modernization include data management, lack of end-to-end data strategy, operationalization of predictive models, and managing mixed workloads.
Teradata's modernization strategy focuses on modern cloud architecture, unlocking data, and driving business outcomes with analytics.
Teradata introduced Vantage Cloud Lake Edition, a cloud-native stack with AWS, featuring storage-compute separation, multi-cluster compute with elasticity, business autonomy, optimized pricing, and integration with AWS services.
Charter Communications migrated from an on-prem Teradata 2800 system to AWS, using a hybrid approach of backup-restore and data mover tools, with minimal business disruption.
The modern cloud architecture enabled by Teradata on AWS offers new analytic capabilities, including machine learning functions, geospatial features, and integration with AWS services like SageMaker.
Doug Mbaya from AWS emphasizes the importance of data gravity and time to value, discussing AWS's purpose-built data services and integration with Teradata to reduce the time between data creation and value extraction.

Organizations are increasingly prioritizing agility, cost-effectiveness, and the ability to handle diverse and complex workloads in their data analytics platforms.
The separation of storage and compute, along with the ability to scale compute resources elastically, is a key feature of modern cloud architectures that helps manage costs and performance.
Data federation, which allows querying data across multiple sources without centralizing it, is becoming an important strategy for organizations that deal with a large number of diverse data sources.
The integration of advanced analytics and machine learning capabilities directly within the data warehouse, as seen with Teradata's Vantage Cloud Lake Edition, is blurring the lines between traditional BI reporting and data science.
AWS's focus on building services that are closely integrated with data platforms like Teradata's and that cater to specific customer use cases reflects a trend towards more customized and efficient cloud solutions.
The concept of data gravity, where applications and services are brought closer to where the data resides, is influencing the design of cloud architectures and the deployment of data services.
Real-time data processing and ETL (Extract, Transform, Load) are becoming more prevalent as businesses seek to reduce the time between data generation and actionable insights, which is critical for applications like fraud detection and content moderation.