Are you looking to extract business value in real-time from data in motion? Data analytics forms a crucial part of Real-time Streaming Analytics (RTSA) that allows for the collection, integration, analysis and visualization of data in real-time.
This white paper explores different data science models and methods for streaming analytics.
- Types of data analytics
- Batch vs. streaming data analytics
- How to extract insights from data in motion
- Offline vs. online modeling
- Challenges posed by streaming analytics
Download the White Paper now to learn more.
You may also be interested in…
Here is a one stop source for all that you wanted to learn about real-time streaming analytics. This comprehensive guide…
Enterprises and IoT applications can benefit immensely from real-time streaming analytics by visualizing the business in real-time, cutting preventable losses, detecting urgent situations…
The exponential growth of data across industries is fuelling the evolution of extract, transform, and load (ETL) processes.
Data scientists use different applications like R, Python or Scala (with notebook tool like Apache Zeppelin) to develop data science…
Partner Webinar – With Fannie Mae, Hortonworks and Impetus: The Business Impact of Fast Data Analytics
The promise of big data is greater than ever befor due to an explosion in the number and variety of…
As IT and line-of-business executives begin to operationalize Hadoop and MPP based batch big data analytics, it’s time to begin…
Ensure successful data ingestion on the cloud: Strategies for 2021
Mar 19, 2021 | 11:00 am PT / 2:00 pm ET