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Filling the Data Lake

June 16, 2016 @ 8:00 am - 9:00 am

Thursday, June 16, 2016
8:00 am PT or 11:00 BST

When it comes to big data, getting data into the data lake in a simple, automated way can seem impossible.  With all the disparate sources of data numbering in the thousands, coding scripts for each source is time-consuming and extremely difficult to manage and maintain.

Join this webinar to learn:
  • Create one process supporting many disparate data sources through "metadata injection"
  • Parameterize ingestion processes and automate every step of the data pipeline
  • Simplify and automate your data ingestion processes - without coding
Register here

Details

Date:
June 16, 2016
Time:
8:00 am - 9:00 am
Event Tags:

Venue

Webinar

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More Information on Predictive Analysis Process

Predictive Analytics Process Flow

For more information of predictive analytics process, please review the overview of each components in the predictive analytics process: data collection (data mining), data analysis, statistical analysis, predictive modeling and predictive model deployment.

Top predictive analytics software and Top predictive analytics open source software.
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