Moving Real-Time Data to the Google Cloud Platform
but don’t do the Google cloud platform is important to your business. Well, why are realtime data movement change data capture the stream processing necessary parts of this process? You’ve already decided that you want to adopt the Google play platform. This could be Google big query and pubsub Pie sinkhole type data protocol. Any number of other technologies you may want to migrate existing applications to the cloud scale elastically as necessary or you say five analytics on machine learning, but running applications in the cloud as vms or containers is only part of the problem. You also need to consider how to move data to the cloud and share your applications or analytics always up to date and make sure the data is in the right format to be valuable. The most important starting point is ensuring you can stream data to the cloud in real time. Batch data movement can cause unpredictable load on the play of targets and has a high latency meaning.
Speaker 2: 00:59 The data is often how as all for modern applications have up to the second inflammation is essential. For example, to provide current customer information, accurate business reporting or for real time decision making, streaming data from on premise to the Google play platform because making use of appropriate data collection technologies for example, change that to capture or CDC dark thing continuously intercepted database activity and collects all the inserts, updates and deletes as events as they happen. Mt Data. It requires file taping which reads at the end of one of our file and potentially multiple machines and streams. The latest record society ratio. Other sources like Iot data or third party SAS applications also require specific treatment. You know that’s what your daddy can street in real time, which it has streaming data. The next consideration is what processing is necessary to make the data valuable for your specific bouquet destination.
Speaker 2: 01:57 And this depends on the use case for database migration and the elastic scalability use cases where the targets here might have similar to the source, maybe rule change data from on premise databases to Google cloud sequel may be sufficient. However, there are real time applications sourcing from Google pubsub. Well analytics use cases built on Google. Big Query of data pro, it may be necessary to perform street processing before that data is delivered to the cloud. This processing can transform the data structure and then enrich it with additional context information while the data is in flight, adding value to the data and optimizing the industry and analytics stream streaming integration platform. We continuously collect data from on premise or private databases and deliver to only go Google cloud endpoints. Street could take care of initial leverage as well as CDC for the continuous application of change. And these data flows can be created rapidly and monitored and validated continuously through our intuitive UI and stream your cloud migration, scaling and analytics. Can we build an iterative download speed of your business and should be? Your data is always way warranted when you