Click to learn more about author Sudipta Kumar Ghosh. On-demand services that include shopping and entertainment, booking transportation and travel, and instantaneously paying back your friend for that dinner from your phone are proliferating in a high-tech world. As such, it’s a wonder that most traditional banking and financial institutions appear to be as antiquated […]
Big Data Ecosystem Updates: Hadoop, Containers, and VMs Explained
Twenty years ago, a startup called VMware brought in business by providing a platform to create nonphysical machine virtualizations, such as Linux, Windows, and others. As server processing capacity increased, basic applications couldn’t maximize the use of all the abundant new resources. Enter Virtual Machines (VMs), designed to run software on top of a physical […]
Knowledge Graphs for Robust Data Governance
More data, more sources, more conflicts. More self-service reporting, more cross-functional analytics, more government and industry regulations. Without a way to govern all the data in their possession, businesses are not going to do well at creating reports or dashboards or building data consensus across departments. Nor will they feel confident that they’re not missing […]
Data Operations and DataOps: Not One and the Same
Click to learn more about author John Pocknell. In today’s competitive enterprise landscape, having a proper DataOps strategy in place correlates with better data intelligence and optimization within an organization – breaking down silos and enabling data democratization and better business agility at scale. But DataOps as a methodology is not to be confused with data operations, which […]
Modern Data Integration Requires Hybrid Multicloud Data Fabric
Click to learn more about author Kendall Clark. What if data really is the fuel that powers engines of insight? Imagine a world exactly like ours in every way except for one key difference. Instead of the modern fossil fuel supply chain (i.e., Big Oil) being created before (or roughly coincident with) the mass production […]
Cyber Resilience Means More Than Just High Availability or Disaster Recovery Alone
October is Cybersecurity Awareness Month! All month long, we’ll be exploring cybersecurity-related topics to help you (and your data) stay safe online. Click to learn more about author Don Boxley. What creates true cyber resilience? In database circles, the two factors that help lead to it – disaster recovery (DR) and high availability (HA) – are […]
How Much Should Enterprises Worry About Vendor Lock-In in Public Cloud?
Click to learn more about author Jay Chapel. One of the key drivers to a multi-cloud strategy is the fear of vendor lock-in. “Vendor lock-in” means that a customer is dependent on a particular vendor for products and services, and is unable to use another vendor without substantial switching costs or operational impact. The vendor lock-in problem in cloud computing is the […]
A Brief History of Data Silos
The original purpose of a data silo was to keep secrets. People have been keeping secrets for a long, long time. Prior to the written word, keeping a secret meant not sharing specific information with anyone else, verbally. And then came the written word. Secrets could be shared accidentally, or even stolen. Life became more […]
The Data Warehouse, the Data Lake, and the Future of Analytics
Data lakes were created in response to the need for Big Data analytics that has been largely unmet by data warehousing. The pendulum swing toward data lake technology provides some remarkable new capabilities, but can be problematic if the swing goes too far in the other direction. Far from being at the end of this […]
What to Know Before Crafting a Cloud Disaster Recovery Plan
Click to learn more about author George Williams. In order to effectively back up all of data and resources with cloud disaster recovery, organizations need to craft a disaster recovery (DR) plan beforehand. This way, they will know exactly what to do and what to back up, and will save a lot of time and […]