Insights
Technology Blog - Redapt | ll-test
- Cloud Migration and Adoption
- Enterprise IT and Infrastructure
- Data Management and Analytics
- Artificial Intelligence and Machine Learning
- DevOps and Automation
- Cybersecurity and Compliance
- Application Modernization and Optimization
- Featured
- Managed Services & Cloud Cost Optimization
- News
- Workplace Modernization
- Tech We Like
- AI
- AWS
- Dell Technologies
- Social Good News
- Cost Optimization
- Hybrid Cloud Strategy
- NVIDIA
- Application Development
- GPU
Azure Synapse vs. Databricks … Which Is Right for Your Organization?
When it comes to platforms for processing large amounts of data, two of the common choices for enterprises are Azure Synapse and Databricks. Since both are solid options, deciding on which to go with...
Accelerating Your Analytics with DevOps and Azure Synapse
In today’s business environment, simply making smarter decisions is not enough to remain competitive. You need to make smarter decisions faster. That means finding ways to mine large amounts of data...
Azure Synapse vs. Databricks … Which is Right for Your Organization?
When it comes to platforms for processing large amounts of data, two of the common choices for enterprises are Azure Synapse and Databricks. Since both are solid options, deciding on which to go with...
We Moved to Google Cloud Platform and It’s More Expensive Than Anticipated. Now What?
It’s not uncommon for organizations that have migrated to Google Cloud Platform (GCP) to encounter sticker shock.
The 5 Most Common Google Cloud Platform Migration Challenges ... And How to Solve Them
The performance gains and efficiencies of moving to the cloud are clear. What is less clear is the best way to get there. Here are five common stumbling blocks to successful cloud migration.
Looking at Google Anthos? Here Are 3 Great Use Cases
Managing multiple Kubernetes clusters on premises or in the hybrid cloud can be a logistical nightmare.
What Is Data Capital and Why Is It Important?
Data is an asset, just like corporate employees or organizational tools. As with any asset, data has an inherent value—but technology and talent must be applied for the organization to realize the...
Why 90% of Machine Learning Models Never Make it to Production
There’s a lot of potential in Machine Learning (ML). Unfortunately, there are also a number of obstacles companies hit when it comes to realizing that potential.
5 Companies That Are Winning Big With Cloud-Native Applications
As we covered in a previous blog post, cloud-native application (CNA) development is quickly gaining ground.