Modernizing data lakes with IBM Storage Ceph
By Venkat Kolli
In today's data-driven landscape, organizations are increasingly reliant on data lakes as foundational elements of their data architecture. Data lakes are centralized repositories for structured and unstructured data. Some of the real-world use cases where data lakes play pivotal role include fraud detection in financial services, predictive analytics in healthcare, and personalized retail experiences.
However, as the volume, variety, and velocity of data continue to grow, traditional data lakes face challenges in scalability, performance, and data silos. Modernization of data lakes is driven by these key forces of growth in data volume, variety, and velocity, along with the need for faster analytics, real-time insights, and better governance.
The core components of modern data lakes consist of:
- Scalable Storage systems: Incorporates on-premises, cloud-native, or hybrid systems.
- Data Ingestion Pipelines: Support both real-time (e.g., Kafka) and batch ingestion (e.g., Apache Spark) with ETL/ELT processes.
- Data Management: Cataloging and indexing improve data discovery and organization.
Storage system provides the key foundation for the Data Lakes and the right storage platform makes a difference between success or failure of a data lake. Object storage is being widely used for large-scale unstructured data, with tiered storage strategies optimizing performance and cost. Storage system for a data lake should be evaluated on these critical factors: Scalability, performance, cost-effectiveness, high availability, data durability, security, and compliance.
It is also important to pay attention to Data Governance & Compliance, incorporating role-based access control, data cataloging, and adherence to regulations like GDPR and CCPA. Enable advanced analytics with integration of machine learning and AI with the goal of extracting actionable insights from vast datasets.
To learn more about this topic, register today to the webinar:
Modernizing data lakes with IBM Storage Ceph
October 30th 2024, 9 AM ET
By the end of this session, attendees will gain a comprehensive understanding of the critical elements required to modernize their data lakes, ensuring they remain agile, scalable, and aligned with the needs of contemporary data ecosystems.
Reserve your spot today!
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