About Snowflake & WWT

As a Snowflake partner, WWT helps companies realize the potential of their data. We provide data strategy, data governance and data engineering services to help companies build their data cloud on the public cloud. We also provide resell capabilities of Snowflake to our customers.

What we can help you with

Modernizing your data warehouse 

Our clients are looking to unlock their data to make better and faster decisions. Traditional data warehouses are becoming taxed and cannot handle the demands of today's business needs. Snowflake simplifies the complexity of your data warehouse by removing the burden of traditional tasks, provides automatic scaling and storage, and by managing the underlying infrastructure. At WWT, we can modernize your data warehouse for you. We work with you from conception to completion of your data warehouse. Starting with the design, leading to the implementation, and ending with analytics. 

Making more data available to unlock business value 

Although enterprises often have existing on prem data warehouse or lake environments, the rapid migration to SaaS and consumption of new types of data from cloud sources is often increasing the magnitude of data silos within organizations. The silos are a direct barrier to business value; data is often more valuable when combined with other types of data whether it be for reporting or more advanced use cases like AI/ML. WWT can help by migrating your exiting data warehouse or lake to Snowflake as well as integrating new data sources that are currently siloed. We work with our clients to prioritize the implementation according to defined business goals and outcomes.  

Training or building your data engineering team 

During our Snowflake projects, clients often approach us to help train their existing data engineers on the new cloud data pipeline technologies. Many skilled data engineers that are familiar with the older suite of ETL technologies haven't yet had the opportunity to work hands on with cloud technology like Snowflake and all it has to offer. WWT is happy to build training opportunities, formal or informal, into our data engineering engagements. Additionally, we strategic staffing focused on data engineering to help your data engineering team scale during particularly heavy periods of development. 

Wrangling and grooming your data

Cloud storage has opened the doorway for new ways to use data because of its affordable price and how scalable of a solution it is. The cloud-based storage becomes a gateway to getting data to cloud applications, data lakes & data warehouses, and more. Data Engineering is a combination of skills, practices, and tools that focus on the journey of the data and making it production ready. The set of skills needed for these modern solutions have moved beyond those needed for the batch oriented ETL systems of the past. A modern solution requires automation, data pipelines, and data streaming to be created. Snowflake provides a single platform that provides the tools and scalable infrastructure needed for a modern Data Engineering solution. WWT's Data Engineering team can build a modern solution to deliver data to your predictive analytic systems, business intelligence dashboards, and more.

Building predictive systems

Data Science moves beyond the descriptive analytics provided by traditional Business Intelligence (BI) reports and provides the ability to automate common tasks along with predicting future outcomes. Similar to Data Lakes, cloud computing has played a drastic advancement in the Data Science field. Storage, computing power, and scale are now merely clicks away and at affordable prices. With Snowflake's cloud data platform, it can store all your data in a single source using multiple formats. It also provides an efficient way to work with your data, reducing the time your Data Scientist spending prepping the data. In addition, their partner ecosystem allows you to use best in class tools to solve your organization's challenges. WWT can help you with your Data Science initiatives. We begin by focusing on use case development to capture business objectives, guarantee data quality, and bring attention to your highest priorities. Resulting in the repeatability and quality you need from your data to give your business the advantage you need for your business.