Data Pipeline by definition is an embedded data processing engine for JVM (Java Virtual Machine). The engine runs inside applications, jobs, and APIs to migrate data into the cloud. Basically it’s like a pipe (figuratively speaking), where you can channel all your data to migrate, to move into other data pipelines or storage and organize it. In order to easily manage it and be used whenever and how you can.

It’s an easy to use a framework that speeds up your development. By streaming data and working with a bunch of your apps. It has writers and readers incorporated into its structure to work with various data sources.

It’s a tool: Data pipeline allows companies to have a good tool that they can use for their data management. This can be used in a number of things but mainly as a structure that holds the data together. For easy use, easy access, flexibility and shareability. Here are some stuff that people can do with a data on a pipeline:

  • Preparing data for visualization and analysis.
  • data conversion to a common format.
  • Easy migration between databases.
  • Easy share
  • real-time data replacing batched jobs
  • Power your data integration and ingestion tools
  • Consuming large fixed-width, CSV and XML files

For the non-technical people: It might be very technical and looks intimidating but it’s actually pretty easy to use once you see it in real life. The best part about this framework is that it’s 100% Java. What this means in a user perspective is that it can run on all operating systems (OS), servers and environments that you can possibly identify.

Seek and you shall find: It’s understandable that these are some “mumbo jumbo” technical stuff that you need to deal with. In order to become up to date with today’s data management and to have this flexibility. Most of the time you think that you need to face this giant wall of information that you don’t know how to break down. But you don’t have to, in fact, all you have to do is ask for help and a rescue will come for you.

Leave it to the experts: Let the experts handle the technical stuff and just focus on the vision, focus on the dream and focus on the direction on where you want to go. If you are no expert on some things, the problem is that it will make you slow because you want to do your best. This is where the problem lies, sure you can learn but not when your projects are at risk.

The right way: There is a proper way of doing things and there is an even better way of doing it. You doing it properly means trying your best not to fail. Applying the even better way means getting better results based on a tried and proven process and formula. Dativa has been building, implementing these types of frameworks for years in in various business, expertise, projects, and industries. With a tried and tested formula, you can expect a faster turn around time and better data management.

If you’re still looking for help on what you are going to do with your data and setting up the needed framework for it Dativa can help you. Regardless if you need a big or small pipeline for your data there is no job too small or too big for Dativa. Visit their site today data pipeline and explore the possibilities of the things that they can do for you.