Time-series data — also known as data with timestamps — is everywhere. From IoT sensors to financial markets to web data, time-series data is exploding in terms of velocity and volume with the advent of cloud infrastructure, smart devices and machine learning applications. This type of data serves diverse purposes, ranging from helping identify machinery due for service to providing operational intelligence dashboards to evaluating financial trading strategies.
Join this session to hear
- how to enable such complex analytics on these large volumes of data in low latencies
- the latest time-series capabilities announced at Snowflake Summit
- a demo and Q&A
Speakers
Yogitha Chilukuri
Product Manager
Snowflake
Ahmed Hafez
Principal Sales Engineer
Snowflake