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How to Create a Real-time Analytics Application

Wednesday, November 13, 2013 at 9:00 AM - Friday, November 15, 2013 at 5:00 PM (PST)

How to Create a Real-time Analytics Application

Ticket Information

Ticket Type Sales End Price Fee Quantity
Early Bird Ended $1,295.00 $0.00
General Ended $1,495.00 $0.00
Volume discount (3+ tickets) Ended $1,165.50 $0.00

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Event Details

This is a 3-day hands-on big data training class. Come and learn how to build a real-time analytics application from start to finish for your company or project. We generate more data than ever before, keeping track of that data and producing actionable events has become a priority for many executives, but finding a way to create actionable events is becoming ever more difficult due to the velocity of data that we’re tracking.  Over the course of three days, learn:

How to gather data and how to create a real time analytics application
How to create actionable items based on these results
How do you execute on those actions

During the course you will create a big data application utilizing Amazon's DynamoDB and EMR services focused specifically around data collection and real-time processing. This is an entry-level course so we encourage any person interested in learning about or creating a big data application to attend. You will learn the skills needed to build or utilize tools needed to keep track of what’s important to your application/business. Come and explore the possibilities of big-data with us.

Training Agenda:

1. How to determine what are the important Key Performance Indicators (KPIs) for your business
 - What specific KPI’s you should measure
 - Create excel sheet based on that

2. How to calculate the KPIs in real-time
 - Go over KPI formulas
 - How do we take those formulas and make datastore that matches the formula that we want? Cost of acquisition, LTV and churn, touch on financial parts that are important
 - What modern data stores are available: MongoDB, DynamoDB, Cassandra, Redis

3. How to use most modern NoSQL data stores
 - What’s Hadoop, how it works and integration with Mongo, Cassandra and DynamoDB
 - Creating datastore

4. Hands on tabulation of your collected data
- Methodology of collecting, processing and preparing data for display

5. Deploy your application to the cloud:
 - What options are available to display that data to your users
 - Deploy into the cloud

Skills needed: basic understanding of Python, Django and analytics

Have questions about How to Create a Real-time Analytics Application? Contact the organizer

When & Where


Mountain View, CA

Wednesday, November 13, 2013 at 9:00 AM - Friday, November 15, 2013 at 5:00 PM (PST)


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