Get on the Nice List in 2023 With Our Top Data and Application Tips!
As the festive season approaches, we thought it would be helpful to gather our top resources that look ahead to what we see impacting organizations the most in 2023. So, pour yourself some hot cocoa and learn about how you can improve your Analytics, Applications and Databases with us!
We’ve rounded up our top 3 tips for your reading pleasure. And, below you will find further resources to keep you on the nice list all holiday long.
Tip 1: Learn What Data Fabric and Data Mesh Can Do for Your Data Management Approach
Without an effective data management strategy and efficient data management tools, your business will be unable to stay competitive. This is especially true for companies that need to modernize their data management platforms and rethink their data management strategy. And this is why it lands as our #1 “keep you on the nice list” tip to look at as you head into 2023.
Tip 2: Modernize Legacy Java Applications So You Can Continue to Innovate and Grow
The majority of businesses are using old versions of Java in their legacy Java applications. As older Java versions reach End of Support, it’s essential to prepare an application modernization strategy.
Tip 3: Make the Right Strategic Cloud Modernization Decisions for Your Commercial Databases
Find the right purpose-built database, which uses a specialized non-relational data model that can be matched to your workload requirements, rather than using a one-size-fits-all approach with only relational data models.
Maximize ROI from Your ERP Investments
Discover how your organization can adopt a hybrid implementation model along with a well-defined project scope to ensure cloud success.
AI & ML: The Future Analyzed
Fundamentally, the purpose of ‘artificial intelligence’ and ‘machine learning’ is the same: they are both designed to have a “machine” (automated process) solve a problem similar to how a human would solve that problem. The distinction between them is the process they use to achieve that goal.
Harnessing the Power of the Cloud to Solve Analytics Challenges
The ability for companies to have access to robust, real-time business intelligence (BI) and analytics functionality is more important now than ever before. Companies are increasingly looking to migrate their BI and analytics capabilities to the cloud to take advantage of the vast competitive, functional and cost-cutting advantages the cloud has to offer.
Oracle Application Workloads in the Cloud
If your organization is considering moving its Oracle workloads to the cloud, it is likely to be part of a broader initiative to move enterprise workloads to the cloud. Many of our customers are actively exploring ways to deploy new or upgraded applications to the cloud whenever possible.
How a Data Expert Improved its Data Integration, Storage and Reporting
This case study examines Datavail’s strategy to modernize the data capture, conversion, storage, management, and retrieval system structure used by a data collection and aggregation services company.