Apache Flink Online Training

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http://www.learntek.org/product/apache-flink/ Apache Flink is an open source stream processing framework developed by the Apache Software Foundation. The core of Apache Flink is a distributed streaming dataflow engine written in Java and Scala. Apache Flink’s dataflow programming model provides event-at-a-time processing on both finite and infinite datasets. At a basic level, Flink programs consist of streams and transformations. Conceptually, a stream is a (potentially never-ending) flow of data records, and a transformation is an operation that takes one or more streams as input, and produces one or more output streams as a result. Programs can be written in Java, Scala, Python, and SQL and are automatically compiled and optimized into dataflow programs that are executed in a cluster or cloud environment. http://www.learntek.org Learntek is global online training provider on Big Data Analytics, Hadoop, Machine Learning, Deep Learning, IOT, AI, Cloud Technology, DEVOPS, Digital Marketing and other IT and Management courses. We are dedicated to designing, developing and implementing training programs for students, corporate employees and business professional.

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Apache Flink
The following topics will be covered in our
Apache Flink Online Training:
Copyright @ 2015 Learntek. All Rights Reserved. 2

What is Apache Flink?
Apache Flink is an open source stream processing framework developed by
the Apache Software Foundation. The core of Apache Flink is a distributed
streaming dataflow engine written in Java and Scala. Apache Flink’s dataflow
programming model provides event-at-a-time processing on both finite and
infinite datasets. At a basic level, Flink programs consist of streams and
transformations.
Copyright @ 2015 Learntek. All Rights Reserved. 3

….. Continues
Conceptually, a stream is a (potentially never-ending) flow of data records, and
a transformation is an operation that takes one or more streams as input, and
produces one or more output streams as a result. Programs can be written in
Java, Scala, Python, and SQL and are automatically compiled and optimized into
dataflow programs that are executed in a cluster or cloud environment.
Copyright @ 2015 Learntek. All Rights Reserved. 4

Why Apache Flink?
• Flink provides a high-throughput, low-latency streaming engine as well as
support for event-time processing and state management. Flink applications
are fault-tolerant in the event of machine failure and support exactly-once
semantics. Flink executes arbitrary dataflow programs in a data-parallel and
pipelined manner. Flink’s pipelined runtime system enables the execution of
bulk/batch and stream processing programs. Furthermore, Flink’s runtime
supports the execution of iterative algorithms natively.
Copyright @ 2015 Learntek. All Rights Reserved. 5

Flink Introduction
• Architecture
• Distributed Execution
• Job Manager
• Task Manager
• Features
• Deploying Flink on Google Cloud and AWS
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Data Stream API
• Execution environment
• Data sources
• Transformations
• Data sinks
• Connectors
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Batch Processing API
• Data sources
• Transformations
• Broadcast Variable
• Connectors to various Systems
• Iterations
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Structure data handling using Table API
• Registering tables
• Accessing the registered table
• Operators
• Data types
• SQL
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Complex event processing
• Introduction to CEP and Flink CEP
• Event Streams
• Pattern API
• Continuity
• Selecting from Pattern
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Graph API
• Flink Graph Library – Gelly
• Graph Representation
• Graph Properties
• Graph Transformations
• Graph Mutations
• Iterative Graph Processing
• Scatter-Gather Processing
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Integration between Flink and Hadoop
• Flink-Yarn Session
• Job Submission to Flink
• Execution of a Flink job on YARN
• Flink and YARN interaction details
Copyright @ 2015 Learntek. All Rights Reserved. 12

Copyright @ 2015 Learntek. All Rights Reserved. 13

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APM Welcome Tuesday 30 April 2024 APM North West Network Conference, Synergies Across Sectors Presented by: Professor Adam Boddison OBE, Chief Executive Officer, APM Conference overview: https://www.apm.org.uk/community/apm-north-west-branch-conference/ Content description: APM welcome from CEO The main conference objective was to promote the Project Management profession with interaction between project practitioners, APM Corporate members, current project management students, academia and all who have an interest in projects.

APM Welcome, APM North West Network Conference, Synergies Across Sectors

Association for Project Management

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The recently published educational policy document under the title ‘National Education Policy Reform’ (NEPF for short) has been the subject of much criticism. Various parties have expressed their grave concerns about this proposed NEPF on many platforms. This document attempts to cover some angles which the author deems less covered in other criticisms. This critique is by no means complete or exhaustive; rather, the author prefers that it be read in conjunction with other such criticisms.

A Critique of the Proposed National Education Policy Reform

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Advanced Views - Calendar View in Odoo 17

APM Welcome, APM North West Network Conference, Synergies Across Sectors

Disha NEET Physics Guide for classes 11 and 12.pdf

INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx

9548086042 for call girls in Indira Nagar with room service

A Critique of the Proposed National Education Policy Reform

Software Engineering Methodologies (overview)

Introduction to Nonprofit Accounting: The Basics

Interactive Powerpoint_How to Master effective communication

fourth grading exam for kindergarten in writing

Q4-W6-Restating Informational Text Grade 3

Student login on Anyboli platform.helpin

Unit-IV- Pharma. Marketing Channels.pptx

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Web & Social Media Analytics Previous Year Question Paper.pdf

Paris 2024 Olympic Geographies - an activity

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Apache Flink Online Training

1. APACHE FLINK

3. What is Apache Flink? Apache Flink is an open source stream processing framework developed by the Apache Software Foundation. The core of Apache Flink is a distributed streaming dataflow engine written in Java and Scala. Apache Flink’s dataflow programming model provides event-at-a-time processing on both finite and infinite datasets. At a basic level, Flink programs consist of streams and transformations. Copyright @ 2015 Learntek. All Rights Reserved. 3

4. ….. Continues Conceptually, a stream is a (potentially never-ending) flow of data records, and a transformation is an operation that takes one or more streams as input, and produces one or more output streams as a result. Programs can be written in Java, Scala, Python, and SQL and are automatically compiled and optimized into dataflow programs that are executed in a cluster or cloud environment. Copyright @ 2015 Learntek. All Rights Reserved. 4

5. Why Apache Flink? • Flink provides a high-throughput, low-latency streaming engine as well as support for event-time processing and state management. Flink applications are fault-tolerant in the event of machine failure and support exactly-once semantics. Flink executes arbitrary dataflow programs in a data-parallel and pipelined manner. Flink’s pipelined runtime system enables the execution of bulk/batch and stream processing programs. Furthermore, Flink’s runtime supports the execution of iterative algorithms natively. Copyright @ 2015 Learntek. All Rights Reserved. 5

11. Graph API • Flink Graph Library – Gelly • Graph Representation • Graph Properties • Graph Transformations • Graph Mutations • Iterative Graph Processing • Scatter-Gather Processing Copyright @ 2015 Learntek. All Rights Reserved. 11

12. Integration between Flink and Hadoop • Flink-Yarn Session • Job Submission to Flink • Execution of a Flink job on YARN • Flink and YARN interaction details Copyright @ 2015 Learntek. All Rights Reserved. 12

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