In a rapidly changing data management landscape, scalable technology solves immediate challenges for businesses while leaving space for adaptation. Scalability is critical for futureproofing, so how can you prioritize it when selecting data management technologies?
Commit to open-standard technology.
Standards are additive. For example, networking is based on Transmission Control Protocol/Internet Protocol (TCP/IP). Three decades ago, TCP/IP was an emerging technology, and there were many other protocols for data communications, but TCP/IP became the foundation for web-based applications that use the Hypertext Transfer Protocol (HTTP). Likewise, delta lakes are a product of earlier innovations in file systems based on Hadoop and MongoDB. These frameworks, once adopted, become the bedrock of new, evolving standards. By committing to open-standard technology, you can feel confident in the longevity of the solution. StarQuest’s underlying technology is standards-based, so it’s future-proof by nature.
Flex for the ebb and flow.
With ever-changing business priorities and goals for growth, it’s important to picture a world where your data management system is handling a heavier workload without compromising on performance. Thinking beyond your immediate goals means selecting technology that accommodates inevitable change. StarQuest Data Replication (SQDR) allows businesses to add new sources and/or additional destinations, including delta lakes, in as little as 5 minutes when requirements and priorities shift. SQDR is also vendor agnostic; it works well with emerging and existing data mining tools because of its open-standards foundation. That said, StarQuest-maintained delta lakes can work side-by-side with traditional data warehouses, so you have flexibility of deployment without significant cost burdens.
Strive for “set it and forget it.”
Trust is an important foundation for scalability. You can’t be concerned with future performance if your technology can’t reliably manage existing workloads today. Look for solutions that are easy to set up and require little oversight. With SQDR, if a connection is broken, there’s no data loss. SQDR will checkpoint the transfer process and resume from the saved point when connection is reestablished, minimizing the impact of transient connection failures on data availability.
We’re driven by the possibilities.
At StarQuest, we believe that businesses must transition to delta lakes to stay competitive. This is the superior way to digest large amounts of data, and it’s becoming the bedrock for Artificial Intelligence (AI) applications and beyond. In terms of customer data, this is where the most powerful insights are coming from. There’s a lot of innovative visualization and data processing technology out there—Tableau and Synapse to name a couple—but you need real-time data at your fingertips to use it to its full potential.
For more information on delta lakes and how to get your data into them, contact us.