Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
3 Hour(s) 14 Minute(s)
Language
English
Taught by
Packt Publishing
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
Course Overview
Use Apache Flink and its ecosystem to process real-time big data
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 Author
Sridhar 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.
Course Content
- 6 section(s)
- 21 lecture(s)
- Section 1 Introduction to Flink
- Section 2 Using Flink Cluster UI and Data Onboarding
- Section 3 Batch Analytics with Apache Flink – Transformations
- Section 4 Batch Analytics with Apache Flink – Aggregations and Joins
- Section 5 Stream Processing with Apache Flink – Transformations
- Section 6 Advanced Stream Processing with Apache Flink
What You’ll Learn
- Build your own Flink development environment on a Linux server
- Monitor your stream processing in real-time using the Flink UI
- Organize your data comprehensively using data processing pipelines
- Build end-to-end, real-time analytics projects
- Design a distributed Flink environment to efficiently process, transform, and aggregate your data
Reviews
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MMichael Lorenzi
Nice introduction about capabilities of flink, would have liked to hear more about java-api and deployment-options for flink-cluster.
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MMichael O'Dwyer
Good intro to Flink so far!
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DDalmo Cirne
The instructor seems to be learning Flink as he is teaching. He is able to paste code on the screen and read through the code, but he lacks depth of knowledge to explain the why behind the code samples and functionalities of Flink.
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RRaja Mahesh Aravapalli
Brief overview of various concepts of Flink explained in short and crisp. Few things i would expect are: - How flink differs from other stream processing frameworks - some discussion on common/best practice patterns while building an application - Common errors developers generally do still a good overview a though!
