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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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At its inaugural Data Cloud Summit today, Google Cloud unveiled three new database and data analytics products designed to make working with data “simple.”

The new data cloud technologies include Dataplex, an intelligent data fabric to help customers analyze and manage their distributed data at scale; Datastream, a new serverless change data capture and replication service; and Analytics Hub, which will allow companies to securely create, curate and manage analytics exchanges in real time.

Google Cloud also announced the preview of BigQuery Omni for Microsoft Azure, the general availability of Looker for Microsoft Azure and BigQuery ML Anomaly Detection, and several other data products and updates, including a lower entry price for Cloud Spanner.

While every company is on a journey to become data-driven, the reality is many have yet to succeed, according to Gerrit Kazmaier, Google Cloud’s new general manager and vice president for data analytics, databases and Looker.

“We fundamentally want to change…how companies are thinking of data from a technology-centric view to an ability-centric view,” Kazmaier said. “And if you think about an ability — like the ability of hearing, for instance — it requires a set of interconnected skills…to be able to work and to act on that ability.”

The promise of data is massive, and Google Cloud is known for the strength of its data analytics capabilities. Data analytics stands to have a $15.4 trillion impact annually on the global market, according to a McKinsey & Co. study, but only 32 percent of companies say they’re getting measurable value from their data.

“There is still a big gap,” said Kazmaier, who joined Google Cloud in April from SAP, where he spent more than six years and held several president and vice president roles involving SAP Hana and analytics.

Google Cloud wants to connect the full data lifecycle — from where applications are run, to analytical systems where patterns are recognized and analyzed, to machine learning (ML) for automation and prediction, to people making decisions.

“This means we are also connecting the different roles of working with data,” Kazmaier said. “There is the software developer writing the application, there are data engineers, there are data scientists and there are business analysts, and they need to all work on a common platform to build upon. We need to think about these interconnected areas and skills, because data actually represents a value flow.”

That means also connecting the Google Cloud ecosystem.

“It’s all about openness when working with data, so that means openness for the multi-cloud, it means connecting the ecosystem from third-party solutions to be running on Google Cloud and as a part of our integrated cloud system, and open-source systems,” Kazmaier said.

Tom Galizia, Deloitte’s global chief commercial officer, referred to Dataplex, Datastream and Analytics Hub as a “powerhouse trifecta.”

“Deloitte will be a leading teammate in delivering these solutions with industry-critical tools for enterprise customers and institutions,” he said. “What is truly powerful here is that Google Cloud solves for disparate and bespoke systems housing hard-to-access siloed data with enhanced data experiences. They’ve also simplified implementation and management for better decision making.”

Here’s a more detailed look at Google Cloud’s new data and data analytics products and the Cloud Spanner pricing news.

 
 
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