Why is Data Transformation Essential? Data Transformation is essential to transform raw data into a form that can be used by advanced data applications, such as Dataiku ML models, or Flywheel Customer Activation. Raw data from multiple sources can be disorganized and difficult to leverage. Data transformation organizes and prepares the data, creating mature data… Continue reading Data Rocket Releases dbt cloud Integration
For data to have value, it can’t be static – data must be available to users throughout an organization, for a variety of applications. But as data is used, it presents its own set of challenges. As data moves from a warehouse to other applications and data models, multiple versions of truth can be created.… Continue reading Using Talend and dbt to Build an Enterprise Data Transformation Framework
At the heart of digital transformation is data quality – the ability to trust an organization’s data. To be able to fully trust data and get reliable analytical insights, organizations need to be able to measure its data quality. For that reason, Data Rocket has launched Data Quality Watch, an automation solution that measures quality… Continue reading Data Rocket Launches Data Quality Watch
Organizations don’t have the time or human capital to waste on technologies that don’t work or are difficult to assemble. Creating a future-proof data stack allows organizations to avoid adoption fatigue, build a data-centric culture and make the most of technology investments. Why Invest in a Modern Data Stack? To define the prerequisites of a… Continue reading How to Build a Future Proof Modern Data Stack
To undertake a digital transformation initiative, organizations are often asked to select a preferred modern data strategy or patterns – often defined as a data hub, data warehouse or data lake. How to Choose a Modern Data Strategy The choice is not as daunting as it might first appear. First, the way an organization wants… Continue reading Data Hub, Data Warehouse, or Data Lake? Data Rocket Bridges the Best in Modern Data Strategies
Passerelle has joined forces with Flywheel Software to take the power and intelligence of Snowflake and activate customer data to marketing, sales, and customer service tools to drive customer lifetime value and revenue. Flywheel enables companies like Google and Indeed, Customer Data from Snowflake directly to the marketing, sales, and customer service tools to drive… Continue reading Flywheel Joins Passerelle as Integral Component of Data Rocket for Marketing
2021 was a big year for our team – in April, Passerelle was formed, acquiring Abilis Corp’s non-correctional business assets in the U.S. and Canada. With its formation, Passerelle built on a vision of helping businesses drive action from data with solutions-based engineering and agile development. Today, Passerelle has the agility and flexibility to continue to develop innovative, timely solutions that respond to the changing… Continue reading Digital Transformation Trends and Outlooks for 2022
Data Rocket was created in response to customer demand – after deploying Talend with Snowflake and PowerBi or Tableau dozens of times across a variety of industries, Passerelle developed a framework to accelerate adoption of the platform. In 2020, Passerelle formalized the architecture, layering Passerelle IP over Talend and Snowflake connections to accelerate implementation and optimize integration. Leading into 2021, Passerelle released the Dynamic Ingestion feature, Audit… Continue reading Data Rocket Matures Product Offering in 2021
Technology Used: Talend Data Ingestion Snowflake Data Cloud Data Rocket Architecture Data Rocket Dynamic Ingestion Module Data Rocket® is an acceleration architecture for data estate modernization – but just how fast is Rocket fast? In the first three days of Data Rocket implementation, customers go from zero – no Talend or Snowflake implementation – to configuration in the Snowflake Data Cloud with millions of rows… Continue reading Data Rocket Implementation – What You Get in First 20 Hours
