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Five Pillars of Modern Data Management
The CIO article “The Future of Data: A Five Pillar Approach to Modern Data Management” by Manish Limaye, enterprise architect, presents a comprehensive framework for modern data management, outlining five pillars: data platform, data engineering, analytics and reporting, data science…
Data Governance Tools: Empowering Organizations to Manage and Protect Their Data Assets
Data governance tools have become essential for organizations seeking to effectively manage, secure, and derive value from their data assets while ensuring compliance with regulatory requirements. These tools encompass a wide range of functionalities, from data cataloging and metadata management…
Safeguarding Digital Legacy: Strategies for Long-Term Data Preservation
Protecting data for the long term has become a critical concern. As storage media like CDs and floppy disks become obsolete, individuals and organizations are seeking more robust solutions for preserving their digital legacy. One key strategy for long-term data…
Data-Driven Approaches to Combat Climate Change
Data and data management tools are playing an increasingly crucial role in addressing climate change, enabling researchers, policymakers, and businesses to better understand and mitigate environmental impacts. Environmental Data Management (EDM) systems are at the forefront of this effort, allowing…
Sharding vs. Partitioning: Navigating Data Distribution Strategies
Sharding and partitioning are two distinct approaches to managing large-scale databases, each with its own set of advantages and use cases. While both techniques aim to improve database performance and scalability, they differ significantly in their implementation and impact on…