Fundamentals of Apache Flink
Fundamentals of Apache Flink, available at $69.99, has an average rating of 4.25, with 21 lectures, 6 quizzes, based on 41 reviews, and has 302 subscribers.
You will learn about 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 This course is ideal for individuals who are This course targets big data developers keen to process batch and real-time data on distributed systems. It is particularly useful for This course targets big data developers keen to process batch and real-time data on distributed systems.
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Summary
Title: Fundamentals of Apache Flink
Price: $69.99
Average Rating: 4.25
Number of Lectures: 21
Number of Quizzes: 6
Number of Published Lectures: 21
Number of Published Quizzes: 6
Number of Curriculum Items: 27
Number of Published Curriculum Objects: 27
Original Price: $109.99
Quality Status: approved
Status: Live
What You Will 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
Who Should Attend
- This course targets big data developers keen to process batch and real-time data on distributed systems.
Target Audiences
- This course targets big data developers keen to process batch and real-time data on distributed systems.
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 Curriculum
Chapter 1: Introduction to Flink
Lecture 1: The Course Overview
Lecture 2: What Is Apache Flink?
Lecture 3: What Is Big Data and Why Does It Matter?
Lecture 4: Installing Flink in Your Local System
Lecture 5: Setting Up the AWS Environment
Chapter 2: Using Flink Cluster UI and Data Onboarding
Lecture 1: Using Cluster UIs
Lecture 2: Programming Model
Lecture 3: Batch Processing
Lecture 4: Stream Processing
Chapter 3: Batch Analytics with Apache Flink – Transformations
Lecture 1: Loading Data
Lecture 2: Transformations
Lecture 3: More transformations
Lecture 4: Partitioning
Chapter 4: Batch Analytics with Apache Flink – Aggregations and Joins
Lecture 1: Aggregations
Lecture 2: Joins
Chapter 5: Stream Processing with Apache Flink – Transformations
Lecture 1: Data Sources
Lecture 2: Data Stream Transformations
Lecture 3: Window Operations
Chapter 6: Advanced Stream Processing with Apache Flink
Lecture 1: Time Characteristics
Lecture 2: State and Checkpointing
Lecture 3: Other Data Stream Operations
Instructors
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Packt Publishing
Tech Knowledge in Motion
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 2 votes
- 3 stars: 9 votes
- 4 stars: 12 votes
- 5 stars: 17 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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