Seamlessly Integrate Google Cloud in your Hybrid Multi-Cloud World

Google CloudIn order to take advantage of the latest developments in cloud for analytics technologies, many organizations are looking to add cloud data warehousing to their data ecosystems. Whether it is fast, on-demand data warehouses at any scale, better web analytics, machine learning or APIs, the cloud provides compelling opportunities. In IDG’s recent 2018 Cloud Computing Survey, they found that 9 out of 10 respondents either were already using the cloud or were planning to by 2019. Of the organizations surveyed, 43% are using hybrid cloud only, 12% are using multi-cloud only and 30% are already hybrid and multi-cloud. Cloud momentum is unstoppable.

This means that critical business data is increasingly spread across multiple clouds and on-premises applications and databases. The fast moving nature of the cloud, means that many cloud systems are undergoing continual change and updates, adding to the complexity of integrating and managing data across these systems. This diversity of applications, data types means that fueling new cloud data warehouses and enterprise API management with all of your data from these disparate systems can be challenging without the right data integration and management tools.

Some organizations are looking to lift and shift applications to cloud hosting environment and others are starting their cloud journeys with cloud analytics. Moving on-premises analytics workloads to the cloud is a massive industry trend. As companies explore new alternatives and search for innovation, many are attracted to Google Cloud. They want to try to leverage Google Cloud’s capabilities for cloud data warehousing, APIs and machine learning, but first they have to get their data into Google Cloud from wherever it is. They also need to transform all the different data formats so that they can be easily used together.

Organizations planning for efficiency in integrating and managing their hybrid, multi-cloud data are taking a strategic approach. As an alternative to coding to each cloud ecosystem and on-premises system, they are looking for a more holistic enterprise approach that offers better cross-system, cross-cloud data management. They also want to leverage and reuse their previous data pipelines and team skills to the greatest possible extent. By using high productivity GUI-driven tools with a breadth of out-of-the-box high performance native connectors and capabilities, they can free up scarce skilled developers from hand coding and maintaining data pipelines. Democratizing data integration through easy to use tools enables more of the team to participate, which allows these developers to focus on higher value projects such as data science, application building and machine learning – cool coding.

Informatica has partnered with Google Cloud by integrating our products to facilitate a faster adoption of Google Cloud as a core part of an organization’s strategic data architecture. Informatica’s expanding support for Google Cloud means that you can use Informatica to integrate your data with Google Cloud’s data warehouses and Apigee API management. Your business is run with data and processes which should be leveraged across the board. Exposing data and business processes as APIs gives you that power. With the integration Informatica and Google’s Apigee have developed, any data or workflow processes in Informatica Intelligent Cloud Services can be exposed as managed APIs through Apigee’s market leading full service API management solution. Informatica’s integration with Google Cloud speeds the creation of new cloud data warehouses and data-fueled APIs that can provide key components to your successful data-driven digital transformation.

Join Google Cloud, Apigee and Informatica technical experts for a webinar with product demos to learn about the latest in our integrations and joint solutions.

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Source: 2018 IDG Cloud Computing Survey

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