Gain Expertise in Cloudera Streaming Analytics Using Apache Flink and SQL Stream Builder on CDP Course

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Cloudera Streaming Analytics: Using Apache Flink and SQL Stream Builder on CDP Course Overview


Cloudera Streaming Analytics helps organizations create real-time streaming applications with Apache Flink, and build, manage, and deploy them on the CDP Data Hub. This course will guide you through creating streaming pipelines with Flink, testing their reliability and performance, and deploying them to a production cluster. We will also explore how to leverage SQL Stream Builder, part of CDP’s Streaming Analytics offering, to quickly create streaming applications that utilize the power of SQL and Flink. You will gain hands-on experience with CSA and learn how to use and extend the SQL Stream Builder tools to build highly-performant streaming pipelines. Lastly, this course will walk you through creating and managing streaming applications on the CDP Data Hub.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

Cloudera Streaming Analytics: Using Apache Flink and SQL Stream Builder on CDP
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The 1-on-1 Advantage

Get 1-on-1 session with our expert trainers at a date & time of your convenience.
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Flexible Dates

Start your session at a date of your choice-weekend & evening slots included, and reschedule if necessary.
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4-Hour Sessions

Training never been so convenient- attend training sessions 4-hour long for easy learning.
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Destination Training

Attend trainings at some of the most loved cities such as Dubai, London, Delhi(India), Goa, Singapore, New York and Sydney.

You will learn:

Module 1: Overview
  • Introduction to Apache Flink and Stream Processing
  • Typical Use Cases
  • Related Products
  • Planning Requirements
  • Installation
  • Flink Dashboard
  • Exercise: Running a Flink Program
  • Execution Environment
  • Flink Application Structure
  • Create a Flink Project
  • Build a Flink Program
  • Exercise: Building a Simple Flink Program
  • Logical
  • Physical
  • Parallelism
  • Fault Tolerance
  • Data Storage
  • DataStream API Overview
  • Data Types and Serialization
  • Sources and Sinks
  • Transformatons
  • Exercise: Batch Processing Using Flink
  • Exercise: Creating a Flink Streaming Application
  • Using Kafka as a Source and Sink
  • Exercise: Creating a Streaming Application Using a Kafka Source
  • Streaming Concepts
  • Programming Options
  • Integrations
  • Exercise: Using Flink SQL and Kafka
  • Stateful Streaming Applications
  • Checkpoints
  • Event Time Processing
  • Watermarks
  • Windows
  • Exercise: Tumbling Windows with Event Time
  • Overview
  • Streaming SQL Console
  • Data Providers
  • SQL Stream Jobs
  • Exercise: Using SQL Stream Builder
  • Metrics
  • Logging
  • Backpressure
  • Resource Configuration
  • Exercise: Monitoring
Live Online Training (Duration : 16 Hours) Fee On Request
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
Date On Request
Cloudera Streaming Analytics: Using Apache Flink and SQL Stream Builder on CDP
Course Prerequisites

There are no prerequisites for the Cloudera Streaming Analytics: Using Apache Flink and SQL Stream Builder on CDP training. Anyone with basic knowledge of data processing and software development should be able to get the most out of the class.

Target Audience


The target audience for Cloudera Streaming Analytics: Using Apache Flink and SQL Stream Builder on CDP training would be software developers or data engineers who have knowledge of stream-processing and data infrastructures
The training is perfect for those who are looking to learn or gain expertise in Apache Flink or SQL Stream Builder technology and Cloudera Data Platform
Knowledge of Java and SQL is a plus
This course is ideal for businesses or organizations that require advanced stream-processing capabilities and the ability to query streaming data in real-time
It may also be beneficial for developers or engineers looking to transition to a distributed data platform for fast access to real-time insights

Learning Objectives of Cloudera Streaming Analytics: Using Apache Flink and SQL Stream Builder on CDP


1. Learn the basics of Apache Flink Streaming Analytics: Understand the key components of Flink’s streaming analytics platform and the concepts of stream environments, stream sources and sinks, data streams and transformations, distributed systems, and fault tolerance.
2. Explore the architecture of Flink and the SQL Stream Builder: Use the components of CDP to build and deploy data pipelines using Flink and its Flink Streaming SQL applications. Additionally, develop streaming applications quickly and easily using SQL Stream Builder.
3. Develop streaming applications with Apache Flink: Develop streaming analytics applications with Flink’s DataStream API and its operators, analyze streaming data with windowing functions, and learn to use web-scale data sources and sinks.
4. Master Flink machine learning: Understand the core concepts of machine learning, use Flink’s ML algorithms for streaming data, and learn how to integrate your own ML models.
5. Solve real-world use-cases with Apache Flink: Practice coding Flink streaming applications, analyze streaming datasets and develop predictive models, and use Flink-based technologies to solve real-world problems.

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1-on-1 Public - Select your start date. Other students can be merged.
1-on-1 Private - Select your start date. You will be the only student in the class.
Yes, course requiring practical include hands-on labs.
Yes, fee excludes local taxes.
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Yes, Koenig Solutions is a Cloudera Learning Partner
Schedule for Group Training is decided by Koenig. Schedule for 1-on-1 is decided by you.
In 1 on 1 Public you can select your own schedule, other students can be merged. Choose 1-on-1 if published schedule doesn't meet your requirement. If you want a private session, opt for 1-on-1 Private.

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