Structured data, unstructured data: It shouldn't matter, says Google
Google is promoting updates to its cloud-based data management portfolio with the ambition of bringing analysis of structured and unstructured data closer together.
In its cloud-based data warehouse, BigQuery, the Chocolate Factory is announcing support for unstructured data which users can analyze with adjacent capabilities in ML, speech recognition, computer vision, translation, and text processing using BigQuery's familiar SQL interface. Also new to the data warehouse is support for Apache Spark, the open source analytics engine commonly used for data exploration and ML in data lakes. Google said the move would allow users to create BigQuery stored procedures using Spark that integrate with their SQL pipelines.
Meanwhile, BigLake, Google Cloud's data lake product, would support table format Apache Iceberg, with Databricks format Delta and Hudi streaming coming soon.that with its Open Data Cloud Google wanted to unify"data across all data formats, across all clouds, all possible workloads, and for all sides of analysis."
"Secondly, the Open Data Cloud enables a connected ecosystem. It is really a platform for data vendors to build their data applications on top of and innovate together with us on behalf of our customers," he said.
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