Building Streaming Data Analytics Solutions on AWS Course in US
Learn to build cutting-edge streaming solutions with AWS Kinesis and MSK
Gain practical skills by working on real-time data streaming projects
Position yourself for top roles in data engineering and analytics
Get guided by AWS-certified professionals with real-world experience
Study at your own pace with both live and self-paced formats
Stand out with a highly sought-after AWS certification in streaming data analytics
Convenient and hassle-free payment plans
4.7/54595 EnrolledEnrolled Learners
4.7/54595 EnrolledEnrolled Learners
Overview
What our training includes:
- Provides hands-on experience with AWS Kinesis and MSK
- Offers in-depth training on Apache Flink
- Develops expertise in designing scalable streaming data architectures
- Prepares you to secure, monitor, and optimize streaming data
- Provides practical applications to real-time analytics solutions
- Prepares you for AWS certification in streaming data analytics
Upcoming sessions
Curriculum
1
Data analytics use cases
2
Using the data pipeline for analytics
1
The importance of streaming data analytics
2
The streaming data analytics pipeline
3
Streaming concepts
1
Streaming data services in AWS
2
Amazon Kinesis in analytics solutions
3
Demonstration: Explore Amazon Kinesis Data Streams
4
Practice Lab: Setting up a streaming delivery pipeline with Amazon Kinesis
5
Using Amazon Kinesis Data Analytics
6
Introduction to Amazon MSK
7
Overview of Spark Streaming
1
Exploring Amazon Kinesis using a clickstream workload
2
Creating Kinesis data and delivery streams
3
Demonstration: Understanding producers and consumers
4
Building stream producers
5
Building stream consumers
6
Building and deploying Flink applications in Kinesis Data Analytics
7
Demonstration: Explore Zeppelin notebooks for Kinesis Data Analytics
8
Practice Lab: Streaming analytics with Amazon Kinesis Data
9
Analytics and Apache Flink
1
Optimize Amazon Kinesis to gain actionable business insights
2
Security and monitoring best practices
1
Use cases for Amazon MSK
2
Creating MSK clusters
3
Demonstration: Provisioning an MSK Cluster
4
Ingesting data into Amazon MSK
5
Practice Lab: Introduction to access control with Amazon MSK
6
Transforming and processing in Amazon MSK
1
Optimizing Amazon MSK
2
Demonstration: Scaling up Amazon MSK storage
3
Practice Lab: Amazon MSK streaming pipeline and application deployment
4
Security and monitoring
5
Demonstration: Monitoring an MSK cluster
1
Use case review
2
Class Exercise: Designing a streaming data analytics workflow
1
Modern data architectures
Meet your Trainer
Our Trainer
Learners Point has a reputation for high-quality training that makes a difference in people's lives. We undertake a practical and innovative approach to working closely with businesses to improve their workforce. Our expertise is wide-ranging with ample support from our expert trainers who are globally recognized and hold a diverse set of experiences in their field of expertise. We are proud of our instructors who take ownership of our distinctive and comprehensive training methodologies, help our students imbibe those with ease, and accomplish gracefully.
We at Learners Point believe in encouraging our students to embark upon a journey of lifelong learning and self-development, with the aid of our comprehensive and distinctive courses tailored to current market trends. The manifestation of our career-oriented approach is what we assure through a pleasant professional enriched environment with cutting-edge technology, and an outstanding while highly acknowledged training staff that uses up-to-date methodologies and quality course material. With our aim to mold professionals to be future leaders, our industry expert trainers provide the best in town mentorship to our students while endowing them with the thirst for knowledge and inspiring them to strive for professional and human excellence.
Learning Outcomes
Upon finishing the training, you will:
1
Learn to design and implement real-time data pipelines using AWS tools
2
Gain hands-on experience in building real-time analytics using Apache Flink
3
Create efficient, high-performance data pipelines capable of handling large data volumes
4
Understand security best practices and optimize streaming pipeline performance on AWS
5
Develop expertise in ingesting and processing real-time data using AWS services
KHDA Certificate
Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.
Learners Point Certificate
Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.
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Frequently asked questions
Our Building Streaming Data Analytics Solutions on AWS in US provides professionals with expert instruction in designing and executing real-time data streaming solutions using AWS services like MSK and Kinesis. It covers important topics like creating scalable data pipelines, using Apache Flink for stream processing, protecting data streams, and enhancing pipeline efficiency.
Yes, we offer the course in self-study and live formats. It is this flexibility that enables you to learn at your own pace, hence its suitability for professionals with a hectic schedule. You can do the course whenever it suits your schedule, with access to content which you can study as often as you require.
Our Building Streaming Data Analytics Solutions on AWS program focuses on practical, real-world applications. Through hands-on labs, you’ll work with real-time data streaming, optimize data pipelines, and ensure the security of data flows. These are the exact skills necessary in today’s data-driven projects, making them directly applicable to your ongoing work in data engineering or cloud architecture.
In the Building Streaming Data Analytics Solutions on AWS program, you’ll learn how to build and manage scalable streaming data pipelines using AWS tools like Kinesis, MSK, and Apache Flink. The program will also cover topics such as real-time data ingestion, performance optimization, security best practices, and monitoring data pipelines. By the end of the course, you can handle real-time data workflows in cloud environments.
Yes, the Building Streaming Data Analytics Solutions on AWS certification is globally recognized. AWS certifications are highly regarded in industries worldwide, especially in cloud computing, real-time analytics, and data engineering. Whether you’re based in North America, Europe, the UAE, or other regions, this certification will significantly enhance your credibility and career prospects.
The Building Streaming Data Analytics Solutions on AWS course will provide you with critical skills in real-time data processing, such as skills in AWS Kinesis, MSK, and Apache Flink. Knowing these technologies, you can create scalable streaming data pipelines, which are in high demand across sectors like technology, finance, and healthcare. This certification will get you ready for leadership roles like Data Engineer, Cloud Architect, or Real-Time Data Analyst.
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