📑 Whitepaper: Batch, Streaming & Real-Time Data*

How can you evolve from ML batch use cases to leveraging a wide variety of batch, streaming, and real-time data to build powerful production ML models? 

What’s the difference between batch, streaming, and real-time data, and how are they transformed into signals for ML models? 

Does real-time ML mean that the model only uses real-time data? 

This whitepaper answers all these questions and more. Download today to learn: 

• About different ML feature types and transformations

• The challenges of serving feature data and how to overcome them

• About common misconceptions about real-time ML

• How to better manage the increasingly complex and varied data flows for ML applications

_{*We thank Tecton for their insights and ongoing support of Turing Post.}