Integrate, Capture, Analyse: Google Cloud Announces Three New Solutions For Data Cloud Strategy

Leading cloud provider Google has recently announced three new additions across its database and data analytics portfolio, namely the Dataplex, Datastream and Analytics Hub, providing organisations with a unified data platform. To introduce these latest offerings, Gerrit Kazmaier, Google Cloud’s General Manager for Databases and Data Analytics, first talked about the data challenges faced by today’s organisations at the recent Google Cloud Summit digital event.

“Data itself represents the biggest untapped opportunity. We have ever-increasing opportunities but also ever-increasing complexity, and every company is on their own data journey. Most of them have just not succeeded on it yet, and we think the bottom line is our overarching strategy of making data interconnect technologies, skills, processes and people,” explained Gerrit.

For him, an integrated data platform means that we connect data across its entire life cycle. This helps organisations improve decision making, innovate faster and elevate customer experiences. Gerrit added that Google Cloud is committed to building the most powerful data cloud solution to help organisations unlock value and actionable, real-time insights needed to future-proof their business.

With that, Gerrit passed the discussion to Irina Farooq, Google Cloud’s Director of Product Management and Smart Analytics, who talked about one of the provider’s three new solutions, the Dataplex.

“We believe that the core barrier to realising value from data stems from the fact that enterprise data remain distributed across many environments. But today, enterprises lack the tools to build an integrated platform across the distributed footprint,” said Irina, highlighting the need for a solution that solves this problem.

Dataplex, an intelligent data fabric that provides an integrated analytics experience, enables businesses to rapidly curate, secure, integrate and analyse their data at scale.  With built-in data intelligence, using Google’s best in class artificial intelligence and machine-learning capabilities, organisations can spend less time wrestling with infrastructure complexities and more time using data to deliver business outcomes.

Another addition in the portfolio of Google Cloud is the Datastream, which was introduced by Andi Gutmans, Google Cloud’s General Manager and Vice President of Databases. For him, data is really at the heart of business transformation as it provides the insights necessary for customers. “If you want to be a leader in today's industry, you have to iterate on the customer experience and if you're not able to iterate fast enough, you really are at risk of being side-lined,” added Gutmans.

However, one of the biggest challenges today is how to bring data to where it needs to be, so organisations have the most up-to-date reports. Enter Datastream, a new serverless Change Data Capture (CDC) and replication service from Google Cloud that makes sure enterprises build new applications that can act on the data changes and data events that are happening.

Datastream enables customers to replicate data streams in real-time, from Oracle and MySQL databases to Google Cloud services. This solution allows businesses to power real-time analytics, database replication and event-driven architectures. Gutmans explained that it replicates at minimal latency, and it is completely serverless, so customers don't have to manage it.

Lastly, there is Analytics Hub, a new capability that will allow companies to create, curate and manage analytics exchanges securely and in real-time.

This solution was presented by Debanjan Saha, Google Cloud’s General Manager and Vice President for Data Analytics, who said that one of the unique things the cloud enables that we often do not talk about is a collaboration between organisations. With Analytics Hub, however, organisations can combine enterprise datasets.

This is important in breaking data silos, allowing customers to share data and insights, including dynamic dashboards and machine-learning models, securely, inside and outside their organisation.

By leveraging these new solutions, Google is hoping customers will have a comprehensive approach to their data cloud that embraces the full data lifecycle, from the systems that run their business to the AI and machine-learning tools that predict and automate their future.

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