Big Data Applications Performance Assurance

B. Zibitsker
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引用次数: 1

Abstract

Today's fast-paced businesses have to make business decisions in real-time. That creates pressure on IT leaders to develop near real-time Big Data and Data Warehouse applications that apply advance analytics against large volumes of data to deliver recommendations fast. Hardware and software used to build Big Data infrastructure is cheap, but management of complex environments is not easy In this presentation we will review role of Performance Assurance incorporating Descriptive, Diagnostic, Predictive, Prescriptive and Control Analytics during each phase of the Application and Data life cycle. We will review challenges and Performance Assurance solutions for Big Data Batch and Real Time applications based on YARN, Map/Reduce, Kafka, Spark/Storm and Cassandra Apache projects
大数据应用性能保障
当今快节奏的企业必须实时做出商业决策。这给IT领导者带来了开发接近实时的大数据和数据仓库应用程序的压力,这些应用程序可以对大量数据进行高级分析,从而快速提供建议。用于构建大数据基础设施的硬件和软件都很便宜,但复杂环境的管理并不容易。在本演讲中,我们将回顾性能保证在应用程序和数据生命周期的每个阶段中所扮演的角色,包括描述性、诊断性、预测性、规范性和控制分析。我们将回顾基于YARN、Map/Reduce、Kafka、Spark/Storm和Cassandra Apache项目的大数据批处理和实时应用的挑战和性能保证解决方案
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