This 1-day Building Batch Data Analytics Solutions on AWS course equips participants with the essential knowledge and practical skills needed to design and implement batch data analytics solutions effectively using Amazon Web Services (AWS) cloud platform.
Throughout the course, participants will delve into the fundamentals of batch data analytics and understand how AWS services can be leveraged to address various data processing challenges. They will learn how to utilize AWS services such as Amazon S3, AWS Glue, Amazon EMR, and Amazon Redshift to store, process, and analyze large volumes of data efficiently.
The course begins with an overview of batch data analytics concepts and the AWS services relevant to batch processing. Participants will then explore best practices for designing scalable and cost-effective batch data analytics solutions on AWS. Hands-on labs and exercises will allow participants to apply their knowledge in real-world scenarios, reinforcing their understanding of key concepts and techniques.
By the end of the course, participants will be proficient in designing, implementing, and optimizing batch data analytics solutions on AWS, empowering them to harness the full potential of cloud-based analytics for their organizations. Whether you're a data engineer, data analyst, or AWS enthusiast looking to expand your skill set, this course provides the foundation for building robust batch data analytics solutions in the cloud.
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Upon completing the course, you will be able to:
• Understand the fundamentals of batch data analytics solutions on AWS.
• Learn to design and implement batch data pipelines using Amazon EMR.
• Gain proficiency in utilizing Amazon Redshift for batch data processing and analysis.
• Explore techniques for optimizing data workflows on AWS for scalability and reliability.
• Master the use of AWS Glue for data integration, transformation, and orchestration.
• Develop skills in monitoring and troubleshooting batch data analytics solutions on AWS.
• Acquire knowledge of best practices for cost-effective batch data processing on AWS.
• Explore real-world scenarios and case studies to reinforce learning concepts.
• Enhance your ability to leverage AWS services effectively for batch data analytics projects.
• Prepare for certification exams and advance your career in data analytics with confidence.
Skills You Will Acquire:
• Designing batch data pipelines on AWS.
• Implementing data processing with Amazon EMR.
• Utilizing Amazon Redshift for analysis.
• Optimizing data workflows for scalability.
• Troubleshooting batch data analytics solutions.
• Data engineers
• Data analysts
• Developers
• IT professionals
• Tech enthusiasts
• This course is designed for students with at least one year of experience in managing open-source data frameworks like Apache Spark or Apache Hadoop.
Recommended :
• Architecting on AWS
• AWS Technical Essentials
• Building Data Lakes on AWS
• Data analysis applications
• Employing the data pipeline for analytical purposes
• Leveraging Amazon EMR in analytics solutions
• Amazon EMR infrastructure architecture
• Hands-on Demo 1: Initiating an Amazon EMR cluster
• Strategies for managing costs
• Storage enhancement with Amazon EMR
• Techniques for data ingestion
• Applications of Apache Spark on Amazon EMR
• Advantages of Apache Spark on Amazon EMR
• Spark fundamentals
• Hands-on Demo 2: Interactive analysis with Apache Spark on Amazon EMR
• Transformation, processing, and data analytics
• Employing notebooks with Amazon EMR
• Practical Lab 1: Real-time data analysis with Apache Spark on Amazon EMR
• Leveraging Amazon EMR with Hive for batch data processing
• Data transformation, processing, and analytical insights
• Hands-on Lab 2: Batch data processing with Amazon EMR using Hive
• Getting started with HBase on Amazon EMR
• Serverless data processing, transformation, and analytics
• Integrating AWS Glue with Amazon EMR workflows
• Hands-on Lab 3: Orchestrating Spark data processing with AWS Step Functions
• Ensuring security for EMR clusters
• Hands-on Demo 3: Encrypting data storage in Amazon EMR
• Monitoring and resolving issues in EMR clusters
• Reviewing historical data of Apache Spark clusters
• Monitoring and troubleshooting procedures for Amazon EMR clusters
• Exploring Batch Data Analytics Solutions on AWS
• Examples of Batch Data Analytics Applications
• Engaging in a Hands-on Exercise: Crafting a Batch Data Analytics Workflow
• Advanced Data Architectures
What is the focus of the course?
The primary focus of this course is to provide participants with a comprehensive understanding of how to develop and deploy batch data analytics solutions using various AWS services. Through hands-on exercises and practical demonstrations, participants will learn essential techniques for leveraging AWS tools to process and analyze large volumes of data efficiently.
Who is this course suitable for?
This course caters to a wide range of professionals, including data engineers, analysts, developers, and IT professionals, who are keen on harnessing the power of AWS for their batch data analytics needs. While prior experience with AWS services is beneficial, individuals with a basic understanding of data analytics concepts can also benefit significantly from this course.
What prerequisites are required to enroll in the course?
While there are no strict prerequisites for enrolling in the course, participants are encouraged to have a fundamental understanding of data analytics principles and familiarity with AWS services. However, individuals without prior experience can still enroll and gain valuable insights into building batch data analytics solutions on AWS.
What topics are covered in the course curriculum?
The course curriculum encompasses a wide array of topics essential for mastering batch data analytics on AWS. These include foundational concepts of batch data processing, designing and implementing batch data pipelines, optimizing data workflows for scalability and reliability, and implementing cost-effective strategies for batch data processing on AWS.
Are there any hands-on exercises included?
Yes, hands-on exercises form an integral part of the course curriculum. Participants will engage in practical, scenario-based exercises designed to reinforce theoretical concepts and provide real-world experience in building batch data analytics solutions on AWS. These exercises are carefully crafted to simulate common challenges encountered in batch data processing projects.
Will I receive any course materials?
Absolutely! Upon enrollment with Vinsys, participants will receive comprehensive course materials, including detailed slides, informative handouts, and access to supplementary online resources. These materials serve as valuable references both during the course and for future review, ensuring participants have all the necessary resources to succeed.
How long is the course duration?
The course duration is 1-day.
Will this course prepare me for any certifications?
While the primary goal of this course is to equip participants with practical skills and knowledge for building batch data analytics solutions on AWS, the acquired expertise can undoubtedly contribute to preparing for relevant AWS certifications in data analytics. Participants will gain a solid foundation that can serve as a stepping stone towards pursuing advanced certifications in the future.
Is there any post-training support available?
Yes, participants will have access to dedicated post-training support to address any queries, concerns, or clarifications related to the course content.
Why choose Vinsys for this course?
Vinsys is the ideal choice for this course due to our unmatched expertise in delivering high-quality training programs tailored to meet the demands of today's industry. With experienced instructors, hands-on exercises, comprehensive course materials, and dedicated post-training support, we ensure that participants gain practical skills and knowledge essential for success in building batch data analytics solutions on AWS.