Google Cloud opens its data cloud to Next ’22
Today at Next, Google Cloud laid the welcome mat for an array of big data software vendors, enabling them to become first-class citizens in its cloud. The company also announced a series of upgrades to its own products, including its BigQuery distributed analytics database, while unifying its analytics tools under the Looker brand and launching a new artificial intelligence agent. .
Google may be the king of search, but a lot of people love Elastic Search, which has gained a massive following over the past decade. The integration unveiled at Next today will see Google Cloud users get the ability to federate search queries to their data lakes using Elastic Search. Meanwhile, Google has also added Looker support to the Elastic platform, which will allow users to integrate search information into their Looker applications.
The partnership with MongoDB will see new models offered that can improve customers’ ability to move data between Atlas, MongoDB’s hosted database service, and BigQuery. Google Cloud sees this as a way to allow its Vertex AI capabilities to be used by MongoDB customers.
Collibra, which develops data catalogs and governance products, is being integrated with Google Cloud’s Data Fabric offering, called Dataplex. The integration will enhance joint customers’ ability to discover data, understand data lineage, and apply consistent controls over data stored across cloud and on-premises environments, the company said.
Palantize, the provider of big data software for law enforcement, also announced that it will begin using BigQuery as the data engine for Foundry Ontology, which the provider calls the operational layer of its platform. The combination will connect “underlying data models to business objects such as factories, distribution centers or equipment, enabling customers to more effectively manage and understand data from their most critical assets”, asys Google Cloud.
Google Cloud is growing
Google Cloud has also made several enhancements to its big data analytics software offerings, including the ability to analyze unstructured and streaming data in BigQuery.
The ability to analyze unstructured data in BigQuery will undoubtedly meet with approval from users who work with lots of text and image data. These people have the ability to access Google’s machine learning, speech recognition, computer vision, translation and word processing capabilities directly from BigQuery’s SQL interface, the vendor explains.
Google Cloud also makes BigQuery the perfect place to gather streaming and historical data. It does this through the launch of Datastream for BigQuery, which will replicate data from AlloyDB, PostgreSQL, MySQL and Oracle directly into BigQuery, giving BigQuery users access to the latest data.
Google Cloud is known for touting the openness of its offerings, and that reputation was reinforced with today’s announcement that BigQuery now supports Apache Iceberg, the open source table format that solves many problems associated with using the Apache Hive metastore format. Additionally, Google Cloud is committed to supporting the other two major open table formats, including Delta Lake, which was developed by Databrick and is sponsored by the Linux Foundation, as well as Apache Hudi.
There are also a few Apache Spark– related news coming out of Next. Google Cloud announced the preview of a new integration between Spark and BigQuery “that enables data professionals to create BigQuery stored procedures using Spark that integrate with their SQL pipelines,” the company says. Google Cloud also unveiled Vertex AI Vision, which the company touts as an end-to-end environment for building and deploying computer vision applications.
Researcher for all
On the business intelligence front, Google Cloud announced that it is bringing all of its BI tools and core AI and machine learning tools under the Looker umbrella. Looker and Data Studio, which was a Google Cloud tool introduced in 2016, will now be called Looker Studio. Three versions of Looker Studio will be available. There will also be Looker Studio Pro, which adds support and governance.
“With this comprehensive enterprise business intelligence suite, we’ll help you go beyond dashboards and equip your workflows and applications with the intelligence needed to help you make data-driven decisions,” writes Kate Wright, senior director of BI product management at Google Cloud. a blog post.
Finally, Google Cloud also unveiled a slew of new AI agents that it says will help accelerate the adoption of AI in organizations.
“While investments in pure data science continue to be essential for many, the widespread adoption of AI increasingly involves a category of applications and services that we call AI agents,” writes June Yang, Google Cloud vice president for cloud AI and industry solutions. a blog post today. “These are technologies that enable customers to apply the best of AI to common business challenges, with limited technical expertise required by employees.”
Google Cloud already offers two AI agents. These include Document AI, which works as an AI assistant to help with document manipulation and processing; and Contact Center AI, which is basically a chatbot that can route customers and analyze call center transcripts. Google Cloud launched another AI agent today. Translation Hub, as it is called, provides self-service document translation in 135 languages.
Stay tuned datanami for more coverage of Google Cloud Next 2022.
Google Cloud bolsters storage with new options for block, object, and backup
Google Cloud launches new Postgres-compatible database, AlloyDB
Google Cloud tackles data unification with new offerings