08/18/2015 - Webinar: Big Data Analytics with Cassandra and Spark

Webinar: Big Data Analytics with Cassandra and Spark

Date: Tuesday, August 18th, 2015
Time:  12pm ET 
Registration:  Online - Click Here to Register

"Register

Join DataStax & KPI Partners for a Webinar on  August 18  - Learn how to combine real-time data collection with deep analytical insight thru Cassandra and Spark
The joining of Spark and Cassandra provides a powerful combination of real-time data collection with analytics.  Join DataStax and KPI Partners for this online event that explores how to combine these technologies for advanced analytics, best practices for implementation, and customer success stories.
 
Big Data Analytics With Cassandra & Spark
Hosted By DataStax and KPI Partners

August 18 - 9am PT / 12pm ET  |   Register Now

 

 

Apache Cassandra is the leading distributed database in use at thousands of sites with the world's most demanding scalability and availability requirements. Cassandra's bread and butter is being able to serve up millions of concurrent transactions (reads, writes, updates) while providing zero downtime and linear scalability. The world is not just transactional data, however, and there is a need to analyze the data captured and served in this online transactional system.   Learn More >>
Apache Spark is a distributed data analytics computing framework that has gained a lot of traction in processing large amounts of data in an efficient and user-friendly manner. It comes with a suite of tools from bulk analytics, SQL support, machine learning, graph analytics, and streaming capabilities. All it needs is data to process.   Learn More >>
About KPI Partners
KPI Partners provides strategic guidance and technology systems for clients wishing to solve their most complex and interesting business challenges involving cloud applications, big data, business intelligence, and data discovery.  Find them at http://www.kpipartners.com.
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REGISTER TO VIEW THE ON-DEMAND WEBINAR

Guest Speakers

Gabie Sheber

I shall see the face of Mars, anyhow, and that will be a rare experience. It seems to me that a view of the heavenly

Gabie Sheber

I shall see the face of Mars, anyhow, and that will be a rare experience. It seems to me that a view of the heavenly

Gabie Sheber

I shall see the face of Mars, anyhow, and that will be a rare experience. It seems to me that a view of the heavenly

Gabie Sheber

I shall see the face of Mars, anyhow, and that will be a rare experience. It seems to me that a view of the heavenly

Gabie Sheber

I shall see the face of Mars, anyhow, and that will be a rare experience. It seems to me that a view of the heavenly

Gabie Sheber

I shall see the face of Mars, anyhow, and that will be a rare experience. It seems to me that a view of the heavenly

 

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