Download slides here >> This webinar is sponsored by: About the Webinar In an era of increasingly complex data ecosystems, open table formats are emerging as critical infrastructure for seamless data collaboration. This webinar will explore how technologies like Apache Iceberg, Delta Lake, and Apache Hudi are breaking down traditional data silos, enabling unprecedented interoperability […]
Data Sips: Interview with Mark Cooper
Data Sips is a new video miniseries presented by Ippon Technologies and DATAVERSITY that showcases quick conversations with industry experts from last month’s Data Governance & Information Quality (DGIQ) Conference in Washington, D.C. The sixth episode of the Data Sips series features Mark Cooper, founder of The Data Brains (and a DATAVERSITY columnist), chatting with host Steve […]
How Data Fabric and GenAI Will Enable Organizations to Seize the Day in 2025
Chief data officers (CDOs) are at the forefront of data modernization and AI adoption. In 2025, the leaders who successfully embrace innovative technologies, such as data fabric and generative AI (GenAI), will shape the future of their industries. By focusing on collaboration, governance, and scalability, data leaders can address evolving challenges and seize new opportunities. […]
True Data Freedom Starts with Data Integrity
Heading into 2025, businesses are faced with managing increasingly complex data ecosystems. Maintaining data integrity when moving data has never been more critical, and ensuring it has become more challenging. Though often necessary, moving critical business data leaves organizations at risk of data loss and corruption. Businesses seeking to embrace data freedom must ensure both […]
The RDBMS Split Process: A Practical Guide to Streamlining the Transition to Data Warehouses
In the first part of this series, we explored how harmonizing relational database management systems (RDBMS) with data warehouses (DWH) can drive scalability, efficiency, and advanced analytics. We discussed the importance of aligning these systems strategically to balance their unique strengths while avoiding unnecessary complexity. In this installment, we tackle a challenge many organizations face: […]
Modern OLAP: From Static Beginnings to a Big Data Renaissance
Online analytical processing (OLAP) enables users to interactively extract insights from complex datasets by querying and analyzing data in a multidimensional way. By structuring data by dimensions and measures, OLAP allows for intuitive and immediate slicing, dicing, and pivoting to interactively answer critical business questions. OLAP has come a long way since its inception. The […]
Securing Your Company’s Data Assets Depends on Both Tech and Humans
It is obvious how essential data security has become in the face of sophisticated cyber attacks. Companies need to continue to improve their processes and systems to protect sensitive information. While advanced cybersecurity technologies help massively, they can’t do it alone. Ensuring all-around safety requires the humans in the loop to work in tandem with […]
MySQL Replication: Unlocking Performance and Flexibility with Advanced Techniques
In database management, replication has long been a cornerstone of data reliability, redundancy, and performance. For those familiar with MySQL, replication may seem straightforward – simply read the binary log and apply it to a replica server, right? While this basic understanding is correct, improving replication performance is far more complex, particularly when dealing with […]
DAS Webinar: Trends in Data Architecture
Download the slides here>> This webinar is sponsored by: About the Webinar With technological innovation and change occurring at an ever-increasing rate, it’s hard to keep track of what’s hype and what can provide practical value for your organization. Join this webinar to see the results of a recent DATAVERSITY survey on emerging trends in […]
The Convergence of the Data Mesh and Data Fabric: Data Architecture’s New Era
The most meaningful development in contemporary data architecture isn’t the growing interest in the concepts of the data mesh and the data fabric. Instead, it’s the potential for convergence of these two architectural approaches into a single architecture that supports both decentralization and centralization of integrated data, local data ownership, universal accessibility, and top-down and bottom-up implementation methods. […]