The Rise of Data Lakehouses in an AI-Driven Era
A new report reveals that most organizations plan to adopt data lakehouses as their primary analytics architecture by 2027, emphasizing cost efficiency and AI readiness.
Cloud Data Platforms
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Cloud Data Platforms: Data Shifts to the Cloud
Cloud data platforms are public or private cloud software systems built and operated with the primary purpose of managing data on the cloud.
6 Strategies for Maximizing Cloud Storage ROI
As organizations look to reduce cloud waste, attaining a data-centric perspective has a multitude of benefits. Analysis can indicate data growth rates, hot versus cold data, compliant data, and more so that IT can make the best decisions balancing data requirements, business needs, and budget.
CDW Cloud Computing Report Notes Cloud Success, Challenges
Explore key insights from the 2024 CDW Cloud Computing Research Report, highlighting how organizations are navigating cloud success, managing AI workloads, and tackling security and governance challenges to stay competitive.
The Role of Site Reliability Engineering in Preventing Outages
By adopting a proactive Site Reliability Engineering (SRE) approach that incorporates comprehensive contingency plans, organizations can better navigate the complexities of modern technology.
Virtualization in 2024: Hypervisors, Competition, and the Broadcom Effect
Learn how Broadcom’s VMware acquisition is driving companies to explore new hypervisor alternatives and optimize virtualization strategies.
Mastering Cloud Migration Costs: A Deep Dive
Find out what it takes to master cloud migration costs and position your organization for continued success in the cloud.
Four Surprising Facts About Data Storage
Discover some surprising facts about data storage and what might be possible for future data storage solutions.
Cloud Computing for Scientific Research: Ensuring Comprehensive Backup and Data Visibility
If researchers adopt cloud computing for scientific research, they could help protect against data loss and implement better analysis.
Scaling Up: How Multi-Tech Data Platforms Enhance Data Management
Most organizations today cannot lean on just one or two data management solutions. What’s needed is a multi-tech data platform that ensures performance, security, and more.
Future-proofing Your Data Strategy with a Multi-tech Platform
As data becomes more complex, the need for a multi-tech platform has never been more evident. By looking beyond single solutions like Apache Cassandra or Apache Kafka and embracing a more holistic, integrated approach, businesses can future-proof their data strategies and stay competitive in an ever-evolving landscape.