Fast analytics on fast data: Apache Kudu - Seguridad Mania.com - España y América Latina

The value of your business data is determined by its ability to drive better decisions. In today’s fast-paced and instrumented environment, real-time analytics can dramatically increase the value of the underlying data by turning it into information that can be acted upon in time to influence outcomes. Traditionally though, complex lambda architectures - a combination of speed and batch layers - were needed to provide the capability yet also introduced high complexity and additional demand on system as well as process management.

Apache Kudu’s ability for fast analytics on fast data is therefore one of the most important open source developments in recent years. Kudu is able to fill the analytic gap between HDFS and Apache HBase, delivering on the ever-increasing need for real-time analytics. Since the launch of Cloudera 5.10, Kudu is now a fully supported component of Cloudera’s standard distribution and offers the ability to collapse the two layers into a simplified storage engine for fast analytics on fast data. This webinar will help you get to know what Kudu can do for your business and how it will enable new use cases around real-time analytics, internet of things, time series data, and more.

Join Marcos Pérez, senior systems engineer at Cloudera, as he discusses:

-The transformative value of real-time data and analytics, and current barriers to adoption

-The importance of an end-to-end solution for data-in-motion that includes ingestion, processing, and serving

-The concept of lambda architectures, their make-up as well as advantages and disadvantages

-Kudu’s alternative approach and role in simplifying real-time architectures