Confluent

About Confluent & WWT

As a Confluent premier partner, WWT provides consultative, data streaming strategy and implementation services spanning private, public and hybrid cloud environments. We also provide resell capabilities across all of Confluent's offerings. Our Kafka expertise enables us to help our clients, regardless of where they are in their data streaming journey.

What we can help you with

Accessing your data real-time

WWT can help with your data initiatives. Using Confluent's products, we can move beyond your legacy batch-oriented ETL (extract, transform, load) pipelines and bring your data to you in real-time. We can design and implement a scalable system to meet your needs. With a modern ETL pipeline built upon Confluent's products, you can process and take action on data as soon as it arrives in an ETL pipeline. The immediate availability of your data creates new opportunities for analytics and insights into your data, and real-time integration between data systems.

Build a platform to put your data in motion

A modern messaging platform should enable real-time workloads, provide an event-driven infrastructure, and provide high availability and performance at elastic scale. Built upon Apache Kafka, Confluent's products handle 10 Trillion+ messages per day. AT WWT, we build data platforms for you to stream data across hybrid and multi-cloud environments. Our event driven architecture will decouple your data, enabling the business to move faster and allowing you to put your data in motion.

Modernizing Your Data Warehouse

Cloud based data warehouses have changed the way organizations handle their analytics. Platforms like Redshift, Synapse, BigQuery and Snowflake are the modern answer to existing on-premises solutions. With real-time event streaming and ETL pipelines, WWT can build a robust system to move your data to the data warehouse of your choice. With Confluent's rich system of 120+ data connectors. Data can easily move from a data source to a data warehouse. While providing a foundation for not being locked into a single data warehouse vendor.

Featured Content

Cloud Strategy

Need for Speed: Leverage Real-time Data on the Fly with Evolutionary Data Streaming Architectures

Analyzing data is table stakes for organizations in an increasingly digitized and connected economy. Data streaming allows for more flexibility and scalability as companies grow.

Article

• Sep 16, 2019

Customer Experience

The Next Best Action for Banks - Chapter 2: Event Driven Architectures

As banks embrace the consumer-centric paradigm, focusing less on products and more on relevant engagements with their customers, the demand for real time interaction is growing. This demand is driving banks to build systems that can model, interact and predict behavior to support real time interactions. In this next article in our series aimed at helping banking and financial services organizations better understand how they can leverage data science to become more customer-centric, we explore Event Driven Architectures and the ability to model the real time world using Apache Kafka.

Article

• Sep 21, 2021

Meet the Experts

Brian Koehler

Data Streaming Practice Lead

Jacob Seiler

Data Streaming Architect

Eric Neunaber

Practice Mgr - Application Architecture

Josh Hollandsworth