Traditional data flow providers have proven to be expensive, inflexible, and unable to meet the demands of many real-time streaming data sources. For a modern enterprise looking to unlock the value of their existing data assets and integrate the latest streaming analytics, it’s vital to choose a data flow provider that’s flexible enough to handle any type of data and scalable enough to grow with your enterprise. A data-in-motion platform must be able to process real-time data in a way that reduces the time from idea inception to action, removes unnecessary boilerplate, and presents an intuitive interface.
Historically, data storage solutions have focused on data-at-rest—data sets like transactions, inventories, or patient histories, and data that is collected at a point in time, archived on an older computer, and analyzed in the future. These systems have proven inadequate at meeting all the needs of a modern enterprise. With the rise of the Internet of Things and cloud computing solutions, modern data architecture has had a multifaceted effect on the way businesses approach data. From a technology perspective, massive gains have been made by teams of programmers who have created solutions that can process more data faster, including the new ability to utilize real-time data and analytics. Previously, this was expensive and very difficult—oftentimes impossible.
Along with the rapid pace of technological advancements, game-changing solutions have been developed to take full advantage of these technologies. Some examples include the rise of big data platforms and artificial intelligence assistants like Siri on the iPhone or Amazon’s assistant, Alexa. Customers have also started to see the benefits of applications that serve real-time data analytics, such as receiving a personalized coupon while the customer is physically in the store.
An easily deployed solution that a modern data flow provider supplies is the ability to unlock data-in-motion and real-time data solutions. For a variety of industries, it’s not just data-at-rest that provides value, but being able to have intelligent applications take action almost instantly—think connected cars that are able to send real-time diagnostic information using IoT devices that respond to user interaction. The technology landscape has changed significantly in recent years—enough to unlock the ability to process massive volumes of data as it occurs.
The ability to process data-in-motion along with data-at-rest has already provided massive benefits to a variety of industries, but the best data-in-motion platforms are also able to decrease the time it takes to go from the initial idea to execution. Historically, complex data flow orchestration has required a large volume of highly specialized code, a huge number of hours, and complex build cycles and development environments. The engineering effort necessary often meant months passed before any real business value was generated. However, with recent advancements, this process has been drastically simplified.
Thanks to modern drag-and-drop interfaces, paired with web-based tools that alleviate the need for coding—similar to using reusable components rather than custom designing each individual piece—businesses are able to combine data-at-rest and data-in-motion with intuitive interfaces to build easy-to-use and reusable applications. Taking advantage of a big data platform gives you the ability to process streaming data sources in real time and reap the benefits this information offers.
Data-in-motion can be extremely valuable. Do you have a modern data solution? Find more info about data flow management here.