Google Inc. yesterday announced its Cloud Dataflow tool for Big Data analytics is being moved to beta status, making it available to more developers.
The tool, which had been in a private alpha program, enables
large-scale event-time-based stream processing or batch processing of
data. Google said it fits use cases such as extract, transform, load
(ETL), analytics, real-time computing and orchestration of processes.
"Now, consistently processing streaming data at large scale doesn't
have to be a complex and brittle endeavor that's reserved for the most
critical scenarios," said exec William Vambenepe in a blog post yesterday.
Developers can use the service with unified programming primitives that
can be used in use cases such as session analysis, detection of
anomalies and funnel analysis.
Google said the service runs on ordinary Google Compute Engine
instances and integrates with other company solutions such as Cloud
Storage, Cloud Pub/Sub and BigQuery.
Speaking of those services, Google also announced BigQuery
-- a cloud-native, API-driven service for using SQL queries -- has
received security and performance enhancements and new European zone
availability.
The company said the Cloud Pub/Sub service provides many-to-many, asynchronous messaging running on its cloud infrastructure.
Google made the announcements at the Hadoop Summit in Brussels.
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