Cloud dataflow

Cloud dataflow

Cloud dataflow is a common term used in Google Cloud platform. According to the most exact definition, it is a reliable execution for large-scale data progressing. In computing system, computer technicians and software developers usually possess and manage a large quantity of information. This increases the likelihood of data leak and loss. However, these problems will no longer threat the information management if cloud dataflow is applied in system.

What is cloud dataflow?

There are various definition of cloud dataflow. However, the most specific and accurate one is that cloud dataflow is the unified programming model and a managed service. It is in charge of developing and executing a wide and complicated data processing

Thanks to Cloud dataflow, users easily manage the resource and optimize the performance

The feature of cloud dataflow?

Resource management

In common, users manage the information and put them in a logical system by hand. This approach can cause a leaking potential and waste much time. However, cloud dataflow is able to execute automatically the required processing resources

On demand

All resources are provided by dataflow to meet users’ requirement. People are likely to apply and use these available resources instead of buying reserved compute instances. Therefore, the time spending on preparing or seeking for resources will be minimized considerably

Intelligent work scheduling

Cloud dataflow provides such an intelligent work scheduling which automates and optimizes every part of the required work. Each task will be arranged automatically and logically, then put into the exact working schedule

A logical schedule can rebalance the lagging or unstable work. Therefore, the capability of disorder tasks and work system will no longer happen.

Auto scaling

Cloud Dataflow has function in scaling the available resources to balance each categories. This feature will bring a better overall result. The auto scaling function also keeps the price and performance in a moderate level

Unified programming model

Cloud dataflow creates and supports a programming model with specific operations, powerful data windowing, great accuracy. This professional model increases the steady system and constant control

Open source

Cloud dataflow is an open and free information source. Hence, users can easily get access to the available resources and apply them for programming model

The open source also allows users to give an alternative pipeline infrastructure. That is the reason why the information management model become more flexible

Integrated

Cloud dataflow can be integrate with cloud storage, cloud pub, cloud bigtable, bigQuery to improve the working result. In different location or computer system, you are able to interact with other sources and contact partners. This function allows to broaden the working space globally.

To sum up, Cloud dataflow has brought a big change to computing technology as well as human life. To take use of dataflow ultimately, it is recommended to combine and integrate with other source of Google Cloud platform such as cloud storage, Cloud pub, cloud datastore, cloud big table, bigquery and so on