AWS Data Speciality: "Architecting Future-Ready Solutions"
Featuring a cutting-edge curriculum, you'll delve into the latest advancements in AWS data services, mastering the art of designing scalable solutions. Through hands-on exercises and real-world projects, you'll emerge ready to tackle complex data challenges, positioning yourself at the forefront of the data-driven landscape. Join us and propel your career to new heights in the world of AWS data solutions.
16 Modules | 60+ Lessons | 35 Hands-On Labs |Real time Projects| Exam Preparation |
On-Job Support
Sateesh Pabbathi
Author & Cloud Expert
A Sneek-peek into what's inside!
- Cutting-edge curriculum covering the latest advancements in AWS data services.
- Hands-on exercises and real-world projects for practical application of knowledge.
- In-depth understanding of designing scalable data solutions on AWS.
- Expert-led instruction from industry veterans with extensive experience.
- Emphasis on optimizing data workflows for seamless operations.
- Focus on data security, encryption, and compliance best practices.
- Integration of real-time data processing and machine learning techniques.
- Proficiency in troubleshooting and debugging common data workflow issues.
- Practical skills for fine-tuning the performance of AWS data services.
- Preparation for the AWS Certified Data - Specialty exam for certification readiness.
- Networking opportunities with fellow professionals and access to a community of AWS data experts for continued learning and support.
Essential Information Before You Begin!
What is an AWS Dataspeciality Course?
The AWS Data Specialty certification course is an advanced designation for experts in designing and implementing data solutions on AWS. It validates proficiency in data analytics, warehousing, migration, and security within AWS environments. Ideal for data professionals, it showcases advanced skills in developing efficient data solutions. This certification course is highly regarded in the field of cloud computing and data management. Holding the AWS Data Specialty certification demonstrates expertise in AWS data services.
What Are The Benefits Of this Course?
Firstly, it imparts advanced expertise in designing and implementing data solutions on AWS, elevating your skill set to a specialist level. This certification carries global recognition, providing a significant boost to your career prospects. Additionally, AWS certified professionals typically command higher salaries, reflecting the value placed on their specialized skills.
AWS DataSpeciality Certification Course
Excel in AWS DataSpeciality Certification for Lucrative Opportunities by Mastering These Vital 12 Core Skills
ETL
Processes
Data
Visualization
Real-time Data
Processing
Data Security and Compliance
Data
Warehousing
Data Lake
Architectures
Data Transformation
and Cataloging
Performance
Optimization
Data Migration
Strategies
Data Governance and Quality Assurance
Data Architecture
Design
Data Scalability
and Elasticity
COURSE CURRICULUM
Overview of AWS Data Services
AWS Global Infrastructure and Regions
IAM (Identity and Access Management) for Data Services
AWS CLI and SDKs
- Amazon S3 (Simple Storage Service)
- Amazon EBS (Elastic Block Store)
- Amazon EFS (Elastic File System)
- Storage Classes and Lifecycle Policies
- Data Transfer and Management
- Amazon VPC (Virtual Private Cloud)
- AWS Direct Connect
- AWS VPN
- AWS Global Accelerator
- AWS CloudFront (Content Delivery Network)
- AWS Transit Gateway and VPN Connect
- Network ACLs and Security Groups Best Practices
- AWS Global Accelerator for High Availability
- Domain Registration and DNS Hosting
- Route 53 Record Sets (A, CNAME, Alias, etc.)
- Routing Policies (Simple, Weighted, Latency, etc.)
- Health Checks and Failover
- Geo-location and Multi-Region Routing
- Amazon Athena
- Amazon Glue
- Amazon Redshift
- AWS Lake Formation
- Data Catalogs and Data Ingestion
- Elastic Load Balancer (ELB) Types (Application, Network, Classic)
- Load Balancer Configuration and Health Checks
- Auto Scaling Groups
- Launch Configurations
- Scaling Policies and Strategies
- Amazon RDS (Relational Database Service)
- Amazon DynamoDB
- Amazon Aurora
- Amazon ElastiCache
- Data Migration Services
- AWS CloudWatch
- AWS CloudTrail
- Cost Optimization Strategies
- Performance Tuning
- Scaling and Auto-scaling
- AWS Availability Zones and Regions
- Multi-AZ Deployments
- Backup and Restore Strategies
- Disaster Recovery Planning
- AWS Backup and AWS Disaster Recovery
- AWS CloudWatch Logs and Metrics
- AWS CloudWatch Logs and Metrics
- AWS CloudWatch Logs and Metrics
- Database Encryption Methods
- Access Control and User Permissions
- Audit Logging and Compliance
- Database Activity Monitoring
- Database Security Best Practices
- This chapter will teach students about the different database services that are available on Azure, such as Azure SQL Database, Azure MySQL Database, and Azure PostgreSQL Database.
- This chapter will discuss how to monitor Azure resources, such as VMs, VNETs, and applications.
- This chapter will teach students about Active Directory Domain Services (AD DS) on Azure, which can be used to manage user identities and permissions in Azure.
- This chapter will discuss the different security features that are available in Azure, such as Azure Active Directory, Azure Key Vault, and Azure Firewall.
- This chapter will teach students about Infrastructure as Code (IAC) and Azure Resource Manager (ARM) templates, which can be used to automate the deployment and management of Azure resources.
Capstone Projects: From Concept to Completion, Dive into Real-World Projects!
E-commerce Clickstream Analysis
Build a clickstream analysis pipeline using AWS Kinesis for real-time data ingestion, AWS Lambda for processing, and Amazon Redshift for analytics. Monitor and analyze user behaviour on an e-commerce website in real-time to gain insights for personalized recommendations and marketing strategies.
Fraud Detection System for Financial Transactions
Develop a real-time fraud detection system using AWS Kinesis for streaming transaction data, AWS Lambda for processing, and Amazon DynamoDB for storage. Implement machine learning algorithms to analyze transaction patterns and detect anomalies in real time. Send alerts or take automated actions to prevent fraudulent transactions.
Social Media Sentiment Analysis
Develop a sentiment analysis system using AWS Kinesis for streaming social media data, AWS Comprehend for natural language processing, and Amazon S3 for storage. Analyze public sentiment towards a specific topic or brand in real time, allowing businesses to respond promptly to emerging trends or issues.
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Frequently asked questions
This course is designed for data professionals, data engineers, data scientists, and anyone interested in working with data on AWS. It's suitable for both beginners looking to start their journey in data engineering and experienced professionals seeking to deepen their expertise in AWS data services.
By the end of this course, you will have a strong understanding of various AWS data services such as Amazon Redshift, Amazon EMR, AWS Glue, and others. You'll be proficient in designing, building, and optimizing data solutions on AWS, and you'll also gain hands-on experience through practical labs and projects.
While there are no strict prerequisites, a basic understanding of cloud computing concepts and familiarity with AWS services can be beneficial. Additionally, having some knowledge of data engineering or data analytics will help you get the most out of this course.
Yes, after completing the AWS Data Specialty course at LevelUp, you will receive a certificate of completion. Additionally, you will be well-prepared to pursue the AWS Certified Data Analytics - Specialty exam if you wish to earn an official AWS certification.
The course is structured into modules that cover various aspects of AWS data services. Each module includes video lectures, hands-on labs, quizzes, and assignments to reinforce your learning. You'll also have access to a community forum for discussions and support from instructors