Hybrid Cloud—A Modern Data Analytics Solution

The use of hybrid cloud environments is steadily growing. “By 2022, over 90% of enterprises worldwide will be relying on a mix of on-premises/dedicated private clouds, multiple public clouds, and legacy platforms to meet their infrastructure needs,” according to the International Data Corporation.

Why Use a Hybrid Cloud?

Innovative companies take a cloud first approach. They know they must use a cloud data analytics platform that unifies everything—data lakes, data warehouses, analytics, new data sources, and all data types.

The cloud offers numerous business and IT advantages, yet many companies have also invested in on-premises data warehousing and other data resources. Using a combination of both the cloud and on-premises solutions in an integrated ecosystem enables a range of benefits:

• Gain flexibility. Companies can quickly and seamlessly move workloads between the cloud and on-premises to match ever-changing business needs.
• Maximize data access. Data is a company’s most valuable asset. A hybrid environment maximizes access to data whatever it resides so users can quickly analyze it for new insights.
• Eliminate data silos. Allowing users to easily access data in the cloud or on-premises discourages data silos while allowing each ecosystem component to work together without friction for an integrated, complete view of the business.
• Minimize disruption. Companies can lessen the disruption to existing on-premises systems while creating new innovations in the cloud.

While companies know they need to move to cloud environments to be competitive, there’s a difference between cloud first and cloud only.

Critical Capabilities for a Modern Cloud Platform

Companies are modernizing their data analytics environments to uncover new insights. They can meet business and IT needs in the cloud, such as increased agility and oftentimes lower-cost data storage.

To ensure they’re optimizing their data, companies should consider six critical capabilities when choosing a modern cloud data analytics platform:

• Built for a hybrid multi-cloud world
• Separation of compute and storage with elastic scaling
• Integration with first-party cloud services
• Ingestion of modern data sources
• Integrated data management and scalable analytics
• Dynamic resource allocation and workload management

A hybrid multi-cloud platform that offers these capabilities helps enterprises of the future solve their most complex data challenges at scale. These companies make data their greatest asset to guide every decision and action.

For example, Vodafone Germany is using data to connect 350 million people to Gigabit networks by 2025. The owner of the Utah Jazz uses flexible cloud data analytics to create winning customer experiences. Other companies, like Lloyds Banking Group, optimize data to deepen customer relationships.

Leveraging Data Analytics in a Hybrid Multi-Cloud World

Today’s enterprises demand a hybrid approach, and it’s why Teradata offers a hybrid multi-cloud data analytics platform. Teradata Vantage™ uses the same software across all environments. This gives companies the portability to deploy a modern data analytics solution anywhere, including public clouds AWS, Azure, and Google Cloud, and on-premises with Teradata IntelliFlex and VMware.

The Teradata approach to hybrid cloud lets companies leverage the right tool for each job based on data latency, velocity, cost, skills, and workload duration. Because the same software is used everywhere, business users and analysts can use their preferred tools and languages in the cloud and on-premises without having to learn new skills, data analytic tools, or methodologies. As the world’s most adaptable data analytics platform, Vantage delivers the power and flexibility today’s companies need.