The fastest and easiest way to onboard your data to any cloud platform
In a fully hosted cloud environment
Five key considerations for data ingestion and preparation for cloud data lakes, by TDWI Analyst David Loshin.
Infoworks helps you maximize your time and your talent. We eliminate the need for code, empowering you to design once, and deploy anywhere, without losing any of the power of Databricks, because we integrate natively with this platform.
Tired of spending too much time on manually intensive tasks to onboard and prepare data for your AI & ML projects? A proliferation of loosely integrated point tools and the lack of automation results in a great deal of time spent writing glue code and coordinating tooling, instead of training and operationalizing your ML models. There is a better way, and it starts with automation. In this session we'll discuss how you can automate the manually intensive and time-consuming work of onboarding and preparing your data; so you can focus your talent and time on making the best use of AI and ML to further your business’ goals.
An overview introduction to Infoworks solution
Learn how to find and prep the data to train your ML model in hours instead of days.
Whether you’re building a data lake in Databricks, Google DataProc or AWS, simple data ingestion can create a massive nightmare of a data swamp!
Data onboarding is the critical first step in operationalizing your data lake. Infoworks not only automates data ingestion but also automates the key functionality that must accompany ingestion to establish a complete foundation for analytics.
A leading healthcare company experienced great success using Infoworks to migrate a analytics workloads to Databricks Unified Analytics Platform in hours as opposed to weeks or months.