Name: Time Series Forecasting at Scale using Spark and Delta Lake
Start: 2019-10-29T19:00:00-07:00
End: 2019-10-29T21:00:00-07:00
Location: GumGum

Inventory impression is the real estate to show potential ads in a publisher page. By forecasting the inventory, we enable the business to foresee if the campaigns will succeed for the specific targeting requirements chosen by the advertisers. The talk will focus on how at GumGum, we optimally sample the auction data and perform real-time forecasting of inventory impressions using Apache Spark and Databrick's Delta Lake.

Speakers:
Jatinder Assi, Engineering Manager, Data Engineering, GumGum
Rashmina Menon, Senior Data Engineer, GumGum

Dinner and drinks will be provided by https://databricks.com/.

Parking:

Santa Monica Library Parking Garage. An underground parking structure can be accessed from 7th Street between Santa Monica Blvd. and Arizona Ave. The first thirty minutes are free. Rates are $1 per hour for the first two hours and thirty minutes. After that, the rate is $1 per thirty minutes. Weekdays the daily maximum is $10. Weekends the daily maximum is $5. Parking on level P1 is restricted to stays of three hours or less. Parking spaces for those displaying disabled placards or plates are on P1. Visitors parking for three hours or longer should park on levels P2 or P3. The Library and GumGum do not provide validation for parking.

Street-level parking lot. A limited number of metered one-hour parking spaces are available. Entry to the lot is from 7th Street.

Meters. Located on the 7th street outside our office.

Vaibhav Puranik

Los Angeles High Scalability Group

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 Time Series Forecasting at Scale using Spark and Delta Lake

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Los Angeles High Scalability Group

Time Series Forecasting at Scale using Spark and Delta Lake

Los Angeles High Scalability Group

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