|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/fundamentals-of-apache-flink/
课程评论：没有评论
**课程名称：** Apache Flink 基础 **课程概述：** 无论你是想了解 Apache Flink 如何帮助你驾驭大数据，还是已经使用过 Flink 但想学习如何正确设置和使用它，这门课程都适合你。课程将首先介绍 Flink 的概念和术语，然后指导你如何构建 Flink 实例、收集数据，并利用这些数据生成可作为其他系统输入的数据。你还将学习使用 Flink API 以批处理和流式处理模式来处理数据。学完本课程后，你将能够利用 Apache Flink 生态系统完成复杂的任务，如事件处理和机器学习。 **关于讲师：** Sridhar Alla 是 Blue Whale Consulting 的联合创始人兼首席技术官，在帮助企业（无论大小）定义系统和能力愿景方面拥有丰富的经验，以制定战略执行计划来应对支持分析和产品团队的不断增长的数据。他在端到端的与大数据分析和机器学习项目（包括预测建模、深度学习和机器学习自动化）的数据收集、安全、治理和处理的各个方面都具有丰富的经验。Sridhar 是一位出版作者，也是 Strata、Hadoop World 和 Spark Summit 等众多会议的活跃演讲者。他还拥有几项关于大规模计算和分布式系统的美国专利。他在 Scala、Java、C、C++、Python、R 和 Go 语言方面有超过 18 年的编程经验，并对 Spark、Flink、TensorFlow、Keras、Hadoop、Cassandra、HBase、MongoDB、Riak、Redis、Zeppelin、Mesos、Docker、Kafka、ElasticSearch、Solr、H2O、机器学习、文本分析、分布式计算和高性能计算有广泛的实践经验。Sridhar 与妻子和女儿一同居住在新泽西州，业余时间喜欢写博客，并就下一代技术进步及其与业务目标的结合点对组织进行指导。 **课程大纲：** 无
Have you heard of Apache Flink, but don't know how to use it to get on top of big data? Have you used Flink, but want to learn how to set it up and use it properly? Either way, this course is for you.This course first introduces Flink concepts and terminology, and then moves on to building a Flink instance, collecting data, and using that data to generate output that can be used as processed data input into other systems. You will also use the Flink APIs to process data in batch and streaming modes.By the end of the course, you will be capable of using the Apache Flink ecosystem to achieve complex tasks such as event processing and machine learning.About the AuthorSridhar Alla is the co-founder and CTO of Blue Whale Consulting and is expert at helping companies (big and small) define their vision for systems and capabilities that will allow them to establish a strategic execution plan to deal with the ever-growing data collected to support analytics and product teams. He has very experienced at dealing with all aspects of data collection, security, governance, and processing as part of end-to-end big data analytics and machine learning initiatives (including predictive modeling, deep learning, and ML automation).Sridhar is a published book author and an avid presenter at numerous conferences, including Strata, Hadoop World, and Spark Summit. He also has several patents filed with the US PTO on large-scale computing and distributed systems.He has over 18 years' experience writing code in Scala, Java, C, C++, Python, R, and Go, and has extensive hands-on knowledge of Spark, Flink, TensorFlow, Keras, Hadoop, Cassandra, HBase, MongoDB, Riak, Redis, Zeppelin, Mesos, Docker, Kafka, ElasticSearch, Solr, H2O, machine learning, text analytics, distributed computing, and high-performance computing.Sridhar lives with his wife and daughter in New Jersey and in his spare time loves blogging and coaching organizations on next-generation advancements in technology and their alignment with business goals.
