Accelerate Your Data Warehouse Modernization with Fast and Trusted Data Management

Accelerate Your Data Warehouse Modernization with Fast and Trusted Data Management

  • Jennifer Zhou
    Jennifer Zhou joined Talend as a Product Marketing Manager in 2016. In this role, Jennifer works with the Director of Product Marketing for Cloud to bring Talend Integration Cloud to new markets, and to drive Talend’s cloud strategy. Prior to Talend, Jennifer studied at the University of Washington Foster School of Business, where she picked up an MBA with a concentration in Finance, Marketing, and Entrepreneurship. Jennifer brings 6 years of marketing and business development experience from companies such as EMC, F5 Networks, and Microsoft.

Data is a powerful tool for enabling businesses to get the upper hand over their competition and for optimizing revenue streams.

For data-driven companies to make right business decisions based on accurate insights, they need access to trusted data in a timely manner, no matter where the data is - in the cloud, on-premises or in both environments.

To ensure high performance, scalability, and agility for analytics, companies move their on-premises data workloads to the public clouds, such as Amazon Web Services (AWS), Microsoft Azure, Snowflake, and the Google Cloud Platform (GCP). They pull data from many different places, partly from within the organization and partly from external sources. And they build a cloud data warehouse or a cloud data lake on those cloud platforms.


The move to the cloud overcomes many disadvantages traditional on-premises data warehouse solutions have: extensive upfront costs, lengthy software purchasing and deployment time, lack of elasticity and agility, etc. Most important, they were not designed to handle the rapid data growth and varying data types. They could not keep pace with the changing needs of today’s businesses. Only modernly architected cloud data warehouses can support data analytics workloads at scale and meet different types of users’ needs.

Yet, to build a modern cloud data warehousing solution, companies need a data management solution that can help them with the following things:  

  • connect a wide range of data sources to the cloud platform that they use
  • move data rapidly into their cloud data warehouses
  • transform those raw data to insight-ready data
  • govern data properly to be compliant with industry regulations
  • share it with any BI tools for analytics.

At Talend, we believe the key lies in delivering trusted data and analytics at speed by building an end-to-end data warehousing. Customers need a solution that enables them to collect, transform, and govern data in a way that can meet businesses’ demands.  Astrazeneca is one of many Talend Cloud customers who have quickly on-ramped their data warehouse to AWS.  ABinBev is another great example for leveraging Microsoft Azure SQL Data Warehouse and Talend’s robust capabilities working in a hybrid environment. Those customers are using Talend’s over 900 connectors and components and its built in Data Quality.  They love Talend Cloud's support for serverless, DevOps, Docker, and other latest cloud innovation and the data governance capabilities such as data catalog, data preparation and data stewardship.

Other Retail, Pharmaceutical, Manufacturing, Technology and Food and Beverage companies are using Talend Cloud to accelerate their data warehouse modernization. Read this AWS Cloud Architect Handbook and  Azure Cloud Architecture Handbook to learn in details how they build a modern end-to-end data warehousing solution using Talend and the cloud platform that they use.

Want more information about how to solve your data warehouse modernization challenges? Read our Data Lake and Data Warehouse Definitive Guide or experience the solution first-hand by signing up for a 14-day Talend Cloud free trial today.


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