Click to learn more about author Ashok Sharma. When it comes to data storage, the temperature must be taken into consideration. The level of layered data storage service, from cold to hot, is described by the temperature setting. The levels are distinguished according to the level of significance for the business – in other words, […]
Data Resiliency and Data Protection: A Two-Pronged Strategy
Click to learn more about author Eric Polet. As the data-sphere expands in size and value, it becomes even more vulnerable to data loss from such things as cyberattacks, natural disasters, and human error. This has prompted organizations of all sizes to rethink their strategies for achieving both data resiliency and data protection. So, what […]
In a Data-Driven Economy, Data “Real Estate” Must Be Modernized
Click to learn more about author Mike Potter. The rush to become data-driven is more heated, important, and pronounced than it has ever been. Businesses understand that if they continue to lead by guesswork and gut feeling, they’ll fall behind organizations that have come to recognize and utilize the power and potential of data. But […]
Balancing Vendor Lock-In and Business Advantage – Getting the Right Combination
Click to learn more about author Matt Yonkovit. Ever since the start of information technology and the first computers were invented, there has been vendor lock-in. From the very first mainframes through to modern cloud and data companies, the guidance has been to avoid lock-in where you can. It’s also the reason open-source software was […]
Fundamentals of Data Virtualization
An innovative data technology called “data virtualization” (DV) is employed to tackle high volumes data from varied sources. Data virtualization is widely used in enterprise resource planning (ERP), customer relationship management (CRM), and sales force automation (SFA) systems to collect and aggregate multi-source data. From multi-sourced data acquisition to advanced analytics, this technology seems to […]
Industry 4.0: Make Data-Driven Decisions Immediately
What if a cyber-physical world — fueled by data — shortened production and manufacturing decisions to the time it takes to adjust a thermostat’s temperature? This just begins to describe Industry 4.0. According to a recent McKinsey article, Industry 4.0 “expects to deliver between $1.2 and $3.7 trillion in value.” Meanwhile, according to Riasat Noor, […]
How to Solve Kubernetes’ Persistent Storage Challenges
Click to learn more about author Romuald Vandepoel Kubernetes and containerization may be thought of as transformative when compared to more traditional cloud deployment approaches. Well, that’s how it appears in development environments. However, heads of infrastructure, platform managers, and other professionals charged with overseeing production environments know the benefits are finite. That’s because the […]
DAS Webinar: Data Quality Best Practices
To view the slides from this presentation, click HERE>> About the Webinar Tackling data quality problems requires more than a series of tactical, one off improvement projects. By their nature, many data quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process and technology. Join Donna […]
DAS Slides: Data Quality Best Practices
Data Quality Best Practices from DATAVERSITY To view the On-Demand recording from this presentation, click HERE>> About the Webinar Tackling data quality problems requires more than a series of tactical, one off improvement projects. By their nature, many data quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach […]
DataOps Highlights the Need for Automated ETL Testing (Part 1)
Click to learn more about author Wayne Yaddow. DataOps, which focuses on automated tools throughout the ETL development cycle, responds to a huge challenge for data integration and ETL projects in general. ETL projects are increasingly based on agile processes and automated testing. ETL (i.e., extract, transform, load) projects are often devoid of automated testing. The […]