Google Focuses on Data Innovations for Enterprise Users at Cloud Next

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At this year's Google Cloud Next conference, Google showcased notable product developments for businesses, starting with the launch of new AI agents and software delivery shields in new cloud regions.

When it comes to data, the company has focused primarily on building an open and scalable data cloud, which could allow businesses to access and work with all kinds of data, regardless of either their storage format or their environment, in a reliable and reliable environment. governed manner. To that end, it unveiled several exciting features for its data cloud.

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You will find an overview of everything below.

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register here Support for unstructured data on BigQuery

First, Google said it supports unstructured data in BigQuery, allowing businesses to work with and query more types of data, like TV archive video, audio call centers and documents, in the popular cloud data warehouse. The move will allow companies to cover most of their information sources, moving beyond the days when they could only analyze structured data from operational databases and software-as-a-service applications. (SaaS) or semi-structured information such as JSON log files.

Support for major data formats

Google then announced that its storage engine, BigLake, would support popular open-source table formats such as Apache Iceberg, Delta Lake, and Apache Hudi. The move will help organizations get the most out of their data, although so far only Apache Iceberg has launched in preview. The other two will follow in the coming weeks.

New Apache Spark integration

In addition to support for new open-source table formats, Google Cloud Next also saw the launch of a new integrated experience in BigQuery for Apache Spark, an open-source data analytics engine. With this integration, Google said, data practitioners will be able to create procedures in BigQuery, using Apache Spark, that integrate with their SQL pipelines.

Data Flow Integration

Google also announced the rollout of a new Datastream integration that will allow organizations to replicate data from all kinds of sources, including real-time data in AlloyDB, PostgreSQL, MySQL, and third-party databases like Oracle, directly in BigQuery. This will give teams more data to quickly analyze and gain insights.

Dataplex improvements

To help organizations maintain high-quality datasets, Google also announced enhancements to Dataplex. As part of this, the smart data fabric solution will begin to automate common processes associated with data quality. For example, users can now more easily understand data lineage (where the data came from and how it has transformed and moved over time), reducing the need for manual, time-consuming processes.

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