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Google Cloud Unveils 9 New Tools At First Data Cloud Summit

‘We fundamentally want to change…how companies are thinking of data from a technology-centric view to an ability-centric view,’ says Gerrit Kazmaier, Google Cloud’s new general manager and vice president for data analytics, databases and Looker.

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Datastream

DataStream, also in preview, is a new serverless, cloud-native change data capture (CDC) and replication service with advances in multi-cloud support. Google Cloud developed it to make it easier for customers to manage all their data silos and move data across them. It allows customers to ingest data streams in real-time from Oracle and MySQL databases, to Google Cloud services such as BigQuery, Cloud SQL for PostgreSQL, Google Cloud Storage and Cloud Spanner.

To date, customers wanting to replicate data as needed primarily having been using batch jobs or a “clunkier” kind of CDC technologies, according to Andi Gutmans, general manager and vice president of database engineering for Google Cloud.

“The problem, though, is that the existing technologies have all been very costly, very hard to manage and really lacked a lot of flexibility on what to do with the data once the data change is actually captured,” he said. “And so we set out to solve this problem.”

Since Datastream is serverless, customers don’t have to manage it like they’ve had to manage CDC services in the past, according to Gutmans.

“We seamlessly scale up and down, and we make it incredibly easy for customers to connect data from one data store to the other,” he said. “We also replicate with minimal latency, so customers who really need to make real-time decisions — whether that’s through analytics or through event-based architectures — they get those changes in real time and can act on them in real time. Last, but not least, we’ve made it very, very flexible. The output of change to this experience can either be into very specific systems like Google Cloud Storage, but we’ve also made it very open, so customers can integrate it into BigQuery, Cloud SQL, Spanner. And we have plans to add additional ways for customers to leverage these data changes to build their modern applications.”

 
 
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