Apache Flink V1.18 Developer Course For Beginners - Pyflink

From Installation to Advanced REAL TIME Analytics Hands-On: Mastering Apache Flink | Better than Spark for STREAMING

What you'll learn

Introduction to Apache Flink as Big Data Processing Framework for Batch and Real Time Streaming

Flink (better than Spark) for real-time processing: Learn how to leverage Apache Flink for real-time data processing and analytics in streaming pipelines.

Apache Flink Stream processing with Pyflink

Install, configure, and utilize Flink and PyFlink effectively

Compare Flink's capabilities with Apache Spark for informed use

Master Apache Flink's architecture and real-time streaming concepts

Understand and implement the Flink Table API for efficient data processing

Create and manipulate tables using Flink Table API with various methods

Utilize Flink Table API for both batch and stream processing applications

Leverage advanced features of Flink Table API for complex data queries

Integrate Apache Kafka with Flink for real-time data ingestion and processing

Design and execute a stream processing pipeline using Flink and Kafka

Handle high-volume data streams in real-time with Kafka-Flink integration

Ingest and process streaming data with Kafka and Flink, and store results in Elasticsearch.

Implement data indexing in Elasticsearch using Flink for enhanced search capabilities

Hands-on implementation: Get hands-on experience by building a Flink Python-based solution that consumes Kafka data streams

Visualize real-time data streams with Elasticsearch and Kibana dashboards

Requirements

Basic familiarity with Python programming language would be helpful

This course is designed to be beginner-friendly

You will be guided through practical exercises that focus on building an end-to-end streaming pipeline using Python

Basic Knowledge on Big Data Processing and Streaming Concepts

Basic Knowledge of SQL

Good to have Familiarity with Linux/Unix Environment

A foundational understanding of big data principles and distributed systems will be beneficial.

Description

** NOTE : THIS IS THE LATEST UPDATED APACHE FLINK COURSE IN THE WORLD** GOOD NEWS : THIS COURSE CONTAINS END-TO-END STREAMING PROJECT WITH COMPLETE CODEWelcome to a transformative learning experience where mastering Apache Flink is not just a possibility, but a guarantee. Our course stands out in the realm of Big Data processing, offering a unique blend of comprehensive concepts, hands-on experience, and an immersive end-to-end streaming project. If you're looking to elevate your skills in real-time analytics with the latest tools and techniques, you've found your match.Are you ready to dive into the world of Apache Flink, the powerhouse of big data processing that's revolutionizing the industry? If you want to harness the full potential of this cutting-edge tool, look no further!Apache Flink is the go-to choice for both batch and streaming data processing, offering lightning-fast performance that surpasses even the mighty Spark. Big players like Alibaba and Netflix rely on Flink for real-time stream processing, and now you can too!What Makes Our Course Exceptional?State-of-the-Art Curriculum: Delve into the core concepts and advanced features of Apache Flink, Kafka, and Elasticsearch. Our curriculum is meticulously crafted to ensure you grasp both the theoretical and practical aspects of real-time data processing.Hands-On Approach: We believe in learning by doing. Each section of our course is complemented with hands-on examples and exercises. You'll not just learn but implement, giving you a real taste of what it's like to work with these powerful technologies.End-to-End Real-Time Streaming Project: The crown jewel of our course is a capstone project where you'll build a complete real-time streaming pipeline. This project integrates Apache Flink with Kafka for data streaming and Elasticsearch for analytics, offering you a holistic learning experience.Access to Complete and Current Code: Say goodbye to outdated examples. Our course provides you with access to the complete source code for every module. This code is regularly updated to keep pace with the latest versions and best practices in the industry.No Outdated Content: We understand the frustration of learning from obsolete materials. Our course content is vigilantly reviewed and updated, ensuring that what you learn is relevant, current, and effective.Course Highlights:Introduction to Big Data & Apache FlinkIn-Depth Understanding of Flink's ArchitectureBenchmarking Big Data Tools: Spark vs FlinkComprehensive Guide to Flink Installation and ConfigurationMastering Flink Table API and PyFlinkAdvanced Query Writing with Table API and SQLBuilding Real-Time Streaming Pipelines with Flink, Kafka, and ElasticsearchAdvanced Streaming Concepts in FlinkWhy This Course?Cutting-Edge Content: Our course is designed to keep you ahead in the fast-evolving field of Big Data and real-time analytics.Practical Skills for Real-World Challenges: The skills you gain here are immediately applicable, preparing you for professional challenges.Expert Instruction and Support: Learn from industry veterans and join a community where your queries and challenges are addressed with priority.Lifetime Access and Updates: Enroll once and get lifelong access to all course materials, including future updates.Who Should Enroll?Aspiring and Practicing Data Engineers and AnalystsSoftware Developers eager to expand into Big DataIT Professionals aiming to specialize in real-time data processingStudents and Academics seeking practical, up-to-date knowledge in Big Data TechnologiesEmbark on Your Journey to Mastering Real-Time Data Analytics with Apache Flink. Enroll Today and Be Part of the Data Revolution!But what sets this course apart from the rest? We pride ourselves on being up-to-date and cutting-edge. Unlike other courses that might be outdated, our course is based on the latest Flink official documentation, version 1.17.1, in 2023. You can trust that you're learning the most current and relevant information available.Are you ready to embrace the future of big data processing with Apache Flink, the 5G in the world of data frameworks? As the successor to Hadoop and Spark, Apache Flink is leading the charge in stream processing and beyond.If Hadoop was the 2G era and Spark represented 3G, then Apache Flink is the 5G or 4G powerhouse in the realm of big data stream processing frameworks. Unlike Spark, which made do with stream processing as an add-on, Apache Flink is a genuine streaming engine. But it doesn't stop there. Flink offers the added capacity to perform batch processing, graph analysis, table operations, and even run machine learning algorithms seamlessly.The demand for Apache Flink is soaring, and it's the latest big data technology that's quickly gaining momentum. Just as Spark once replaced Hadoop, it's foreseeable that Flink could take the lead in the near future.In our comprehensive course, you'll embark on a journey to become a Flink expert from scratch. We'll demystify the architecture of Flink, introducing you to key components like JobManagers, TaskManagers, Tasks, Operator Chains, Task Slots, and Resources. You'll gain a deep understanding of Flink's inner workings, setting a strong foundation for your big data journey.Our course is designed to make complex concepts crystal clear. We'll explore Flink's layered APIs, including SQL & Table API and DataStream API, ensuring you're well-versed in building and processing data streams with ease. Whether you're new to stream processing or looking to level up your skills, we've got you covered.Here's what you'll discover:Parallel Dataflows: Uncover the magic behind parallelism in Flink, optimizing your stream processing for maximum efficiency.Timely Stream Processing: Master the art of timely data processing, ensuring your applications are always up-to-date with the latest insights.Stateful Stream Processing: Learn how to manage state in your stream processing applications, opening the door to advanced real-time analytics.Fault Tolerance via State Snapshots: Understand Flink's robust fault tolerance mechanism, utilizing state snapshots to keep your applications running smoothly, even in the face of unexpected hiccups.By the end of this course, you'll be equipped with the skills and knowledge to leverage Apache Flink as a powerful tool for big data processing. Whether you're aiming to enhance your career prospects or tackle complex data challenges, this course is your gateway to success.Join us on this exciting journey and unlock the potential of Apache Flink. Don't miss out – enroll now and take your big data skills to the next level!Key Words related to this Course : Apache Flink Concepts, Flink Streaming, Flink Batch Processing, Flink Data Analysis, Flink Fault Tolerance, Flink Parallelism, Flink JobManager, Flink TaskManagers, Flink DataStream API, Flink SQL & Table API, Flink State Management, Flink Data Processing Framework, Flink Dataflow Patterns, Flink Real-Time Processing, Flink Machine Learning, Flink Graph Analysis, Flink Table Operations, Flink Latest Version, Flink Hands-On Learning, Flink Coding Examples, Flink Data Consistency, Flink Time Travel, Flink Market Demand, Flink Adoption Rate, Flink Documentation, Flink Tutorials, Apache Flink vs. Spark, Flink Use Cases, Flink Big Data Solutions, Flink Certification

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Course Welcome and Student Information

Lecture 3 Apache Flink Introduction - Big Data Landscape Book

Section 2: Understanding Apache Flink Architecture

Lecture 4 Apache Flink Application Execution Architecture

Lecture 5 Flink's Architecture

Lecture 6 Apache Flink - Comprehensive Overview

Lecture 7 Flink API's overview

Section 3: Big Data Processing Benchmark - Spark vs Flink

Lecture 8 Spark vs Flink

Lecture 9 Apache Spark vs Apache Flink

Section 4: Apache Flink Installation - Configuration

Lecture 10 Apache Flink Installation and Configuration: A Brief Overview

Lecture 11 Install Java 11

Lecture 12 Step by step - Recap Article

Lecture 13 Install Apache Flink

Lecture 14 Stop Flink Cluster

Lecture 15 PyFlink Requirements

Lecture 16 Installing Python 3.10 on Ubuntu (or your desired version)

Lecture 17 Install pip ( pyFlink Requirement)

Lecture 18 Install Pyflink

Lecture 19 Reading - Deploying Apache Flink on Kubernetes: A Comprehensive Guide

Lecture 20 NOTE - Unlocking Excellence

Section 5: Flink Table API - Pyflink

Lecture 21 PyFlink Introduction

Lecture 22 Flink Scala API

Lecture 23 Flink Table API - Introduction

Lecture 24 Flink Table Api - First Handson program

Lecture 25 NOTE - Access to All Source Code from Our Videos ?

Lecture 26 Create Table using a List Object

Lecture 27 Create Tables using DDL statements

Lecture 28 Create Tables using TableDescriptor

Lecture 29 Pre-Course Survey

Section 6: PyFlink Table API - Write Queries

Lecture 30 Write Table API Queries - Introduction

Lecture 31 Table API aggregation query - Table API Query

Lecture 32 Write SQL Queries

Lecture 33 Mix the Table API and SQL- Use Table Object in SQL

Lecture 34 Mix the Table API and SQL- Use SQL tables in Table API

Section 7: Real World Streaming Project : Real Time Streaming pipeline Handson

Lecture 35 Real Time Streaming Pipeline Architecture Design

Lecture 36 Handson Project Requirements

Lecture 37 Data Source - API for Real Time Data

Lecture 38 Extracting Real Time Data Stream from API in python

Lecture 39 About Apache Kafka

Lecture 40 Create Kafka Producer - Stream Data Flow

Lecture 41 Source Code - Kafka Producer

Lecture 42 Exploring the Architecture of a Scalable Streaming Pipeline

Lecture 43 Configure Flink to consume data from a Kafka topic as a data source | pyFlink

Lecture 44 About Elasticsearch & Kibana | Overview

Lecture 45 Configure Flink to write the processed data to a Elasticsearch sink | pyFlink

Lecture 46 Real Time Tweets Word Count with pyFlink and Kafka

Lecture 47 Complete Code Source - Flink Project

Section 8: Apache Flink Real Time Streaming Concepts

Lecture 48 Introduction to Stateful Stream Processing - Apache Flink

Lecture 49 Flink Dataflow & Snapshots

Lecture 50 Flink Data Flow and snapshots

Section 9: Certified Apache Flink - Mastery Award Exam

Lecture 51 Elevate Your Skills Post-Practice Test on Udemy!

Section 10: More learnings

Lecture 52 Reading : Machine Learning with Apache Flink

Lecture 53 Reading : Gelly - Revolutionizing Graph Analytics with Apache Flink

Lecture 54 A Heartfelt Thank You to Our Udemy Students

Big Data Enthusiasts: Professionals or enthusiasts interested in working with big data and real-time data processing.,Big Data Python Developers: Python developers who want to explore the world of big data and streaming data processing.,Data Engineers: Aspiring or current data engineers who want to expand their knowledge and skills in streaming data processing.,Beginners in Big Data: Individuals who are new to big data and streaming data processing but have a basic understanding of programming concepts. The course will provide a beginner-friendly introduction to building Flink streaming pipelines, helping them gain confidence and practical skills in handling real-time data.,Apache Flink Developpers,Data Engineers and Software Developers: Professionals in data engineering and software development who want to enhance their skillset in big data processing. This course is ideal for those looking to build or optimize real-time data processing pipelines using Apache Flink, Kafka, and Elasticsearch.,Aspiring Data Scientists: Individuals aiming to enter the field of data science and who are interested in the practical aspects of real-time data analytics. The course provides hands-on experience with some of the most sought-after technologies in the industry.,Academics and Students: Students and educators in computer science, data science, and related fields who seek a practical and in-depth understanding of real-time data processing systems. The course bridges the gap between academic theory and industry practice.,Big Data Hobbyists and Enthusiasts: Individuals with a keen interest in big data technologies and who enjoy exploring new tools and techniques in data processing. This course offers a structured and comprehensive learning path.