Data movement platform for quality high frequency data pipelines

Traditional ELT/ETL have focused on 'synchronizing apps', giving the ability to map data from one application to another– but with a lot of functional limitations. Those apps need to come from a list of pre-built connectors or APIs; the data processes are focused on 'grabbing and dropping' the data into a data lake or a warehouse– lacking a high functional data transformation while its being processed; they aren't designed to deliver within milliseconds into Production level systems with zero errors; nor do they offer zero-data loss audit functionality, as they deprecate the data by default in 7 days or less. Want to look back at comprehensive view? You can't. Want to be able to adjust configurations and monitor errors easily? You can't. In other words, ETL can be fine for some jobs, but in most situations, it falls short.

The platform is a full lifecycle DevOps platform, designed with the data engineer in mind. Whether you want to deploy it on EASL's infrastructure, or in your own environment, on a private or public cloud, in a hybrid environment, on-prem, or behind a client firewall– the EASL platform deploys exactly the way you need it. EASL has factored in all possible situational customization, with each module containerized, which means that your getting your own 'instance' of the platform based your own specifications exactly to serve your organizational needs. We would love to discuss your specific requirements.

You certainly could. With enough engineers, bandwidth, and time, anything conceivably can be done. That said, most focus on "the building" part, and not what comes after.  A manual code-based implementation is thereotically feasible, but it leads to a constant error triage cycle with no scalable way to address errors as they show up. Further, if suddenly you need to change the configuration or mapping rules because of a change in the API, or data schema, you're suddenly in trouble; Or, if you need to quickly audit all your data processes to isolate other downstream bottlenecks, you are stuck with no visibility. Data movement is a specialized function, and for it to work 100% of the time, it requires real expertise and foundational technology. The advantages that come from utilizing a platform to manage advanced data transformation and processing can't be overstated.

The platform is defined for a world where "the only constant is change." In the real world, once a new system or data implementation is launched into production, it is never fully done. The platform is designed to make adjustments to mapping, the configuration, the rules engine, the job triggers, applying reference tables or enrichment data, whenever you need to, easily and quickly – and with full continuous automated validation and testing, you never need to worry about something breaking in the process. Again, if you would prefer our team make those adjustments on your behalf, we're happy to do it for you.