Google Cloud ‘Removing Barriers’ to Unlock Value of Cloud Data
The public cloud provider is holding its Data Cloud Summit this week. We have the big news to prep you.
Shutterstock
Google Cloud built BigLake to unify data warehouses and lakes, extending the capabilities of BigQuery. This product approach also gives users access control across multicloud storage, with one copy of data. Google Cloud’s intention is to help organizations remove silos, which cause problems among departments, increase costs, and hinder attempts to analyze and understand data. Google Cloud is looking to BigLake to eliminate data duplication or movement among sources. That will cut down on expenses and inefficiencies, the provider says.
Spanner is an SQL database that separates storage and compute. Google Cloud this week launched Spanner change streams. This lets users track changes within the Spanner database. That way, they can access data and integrate it with other systems to identify ways to improve business outcomes.
Vertex AI serves as an environment for data scientists. It’s where these experts do machine-learning work, including experimentation, deployment and management. Accordingly, Google Cloud has made Vertex AI Workbench generally available and introduced Vertex AI Model Registry in preview. The former combines data and machine-learning systems into one interface. This gives users one toolset across data analytics, data science and machine learning. It also allows access to BigQuery directly from within Vertex AI Workbench. Vertex AI Model Registry, meanwhile, provides a central repository for discovering, using and governing machine-learning models, including those in BigQuery ML. Data scientists can share models and application developers can create real-time prediction and decisions.
Google Cloud is bringing together its various business intelligence products. The approach, according to the company, will expand access to data and make new insights easier. To achieve this, Google Cloud now enables access to Looker data models in Data Studio through Looker Explore, Google Sheets or the Data Studio interface.
Google Cloud has launched the Database Migration Program so users can move data from on-premises and other cloud environments to Google Cloud’s managed database services. The program comes with tools and resources from partners, as well as incentive funding to offset the cost of migration.
Finally, Google Cloud underlined some enhancements to its partner program.
1. Google Cloud Ready – Big Query. This represents a new designation that recognizes partner solutions that have met specific functional and interoperability requirements. Google Cloud says more than 25 launch partners are part of the initiative, but it called out Informatica and Fivetran. Fivetran says it moves an average of more than eight terabytes each day for customers using Google Cloud BigQuery data warehouse.
2. Analytics Hub Preview. Now in preview, this capability lets partners make datasets more accessible to customers.
3. Built with BigQuery. Google Cloud says more than 700 independent software vendors (ISVs) have built their applications on BigQuery.
4. Data Cloud Alliance. Google Cloud unveiled a new initiative, the Data Cloud Alliance. Inaugural members include Deloitte, Starburst, Redis, Confluent, Databricks, Fivetran, Neo4j, Elastic, MongoDB and Dataiku.
Finally, Google Cloud underlined some enhancements to its partner program.
1. Google Cloud Ready – Big Query. This represents a new designation that recognizes partner solutions that have met specific functional and interoperability requirements. Google Cloud says more than 25 launch partners are part of the initiative, but it called out Informatica and Fivetran. Fivetran says it moves an average of more than eight terabytes each day for customers using Google Cloud BigQuery data warehouse.
2. Analytics Hub Preview. Now in preview, this capability lets partners make datasets more accessible to customers.
3. Built with BigQuery. Google Cloud says more than 700 independent software vendors (ISVs) have built their applications on BigQuery.
4. Data Cloud Alliance. Google Cloud unveiled a new initiative, the Data Cloud Alliance. Inaugural members include Deloitte, Starburst, Redis, Confluent, Databricks, Fivetran, Neo4j, Elastic, MongoDB and Dataiku.
Data lies “at the top of every C-suite agenda on the planet.” That’s the word from Google Cloud’s Gerrit Kazmaier, and it’s the impetus for the company’s deluge of new cloud data capabilities and support.
On Wednesday, the world’s third-largest public cloud provider is holding its Data Cloud Summit. In advance of that event, the company offered a preview of the products and features it would unveil to summit attendees. The slideshow above showcases those additions.
First, however, it’s important to understand some context around the cloud data introductions. Google Cloud likes to tout itself as the “data cloud.” As such, it focuses heavily on analytics, driven by artificial intelligence, that give organizations the information they need to improve processes and outcomes. Because of that focus, Google Cloud goes deep into some areas partners might consider arcane, but that serve as the foundation of a solid practice.
Google Cloud’s Sudhir Hasbe
Uncovering the value of this type of data is becoming even more vital to business operations. Therefore, the channel will play a significant role in parsing and comprehending the information. It also will suggest the best ways to use it. Partners, including Databricks and MongoDB, already are on board.
Google Cloud knows that. That’s why it’s “removing barriers from getting value out of data,” as Sudhir Hasbe, senior director of product management at Google Cloud, said.
This slideshow highlights just exactly how Google Cloud is doing that. As a hint from Hasbe, “BigLake is the center of our strategy.”
Want to contact the author directly about this story? Have ideas for a follow-up article? Email Kelly Teal or connect with her on LinkedIn. |
About the Author(s)
You May Also Like