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- User Authentication
- Vignesh J's Credentials
- Vignesh J's Wallet
- Learn Git: Introduction to Version Control
- Track 1: Introduction to Big Data with PySpark
- Introduction to Big Data with PySpark
- Introduction to Big Data with PySpark
- GitHub Portfolio Project
- Welcome to the Data Engineer Career Path
- Academy Accreditation - Databricks Lakehouse Fundamentals
- Dataproc
- Scalable Data Architectures: Using Amazon Redshift & QuickSight
- Getting Started with Snowflake: Using the Snowflake Data Platform
- Google Professional Cloud Developer: Cloud Applications & APIs
- Google Cloud Architect: Cloud Design
- Cloud Run and Compute Services: Establishing a Compute & Run Environment
- Working with Azure Cosmos DB: Loading Data
- Working with Azure Cosmos DB: Advanced Topics
- Track 2: Azure Cosmos Database
- Working with Data Azure Cosmos DB
- Final Exam: Working with Azure Cosmos Database
- Working with Azure Cosmos DB: Getting Started
- Track 1: Cloud Databases
- Data Warehouse Essential: Concepts
- Processing Data: Introducing Apache Spark
- Cloud Computing Fundamentals: Considerations
- Jenkins for DevOps: Jenkins Configuration for DevOps
- Cloud Computing Fundamentals: Introduction
- Final Exam: Cloud Computing for Decision-makers
- Track 1: Cloud Computing for Decision-makers
- Cloud Computing for Decision-makers and Leaders
- Cloud Security, Risk, and Compliance: Risk & Compliance in the Cloud Era
- Cloud Computing for Decision-makers: Cloud Adoption
- Cloud Value Proposition: Google Cloud Platform for Decision Makers
- Cloud Value Proposition: Microsoft Azure for Decision Makers
- Cloud Security, Risk, and Compliance: Managing Security in the Cloud Era
- Cloud Value Proposition: Major Cloud Players
- Cloud Value Proposition: Amazon Web Services for Decision Makers
- Business Value of the Cloud: The Cloud Computing Value Proposition
- Business Value of the Cloud: Cloud Computing Case Studies
- Business Value of the Cloud: How the Cloud Impacts our Work
- Defining Cloud Computing for Decision-makers: Cloud Computing Principles
- Defining Cloud Computing for Decision-makers: Cloud Business Model
- Tableau for Data Visualization: Introduction
- Business Transformation Through IT: Cloud Computing for Decision Makers
- Working with Google Cloud SQL: Advanced Topics in Cloud SQL
- Track 2: Google Cloud SQL Database
- Working with Google Cloud SQL
- Final Exam: Working with Google Cloud SQL
- Working with Google Cloud SQL: An Introduction to Cloud SQL
- Overview & Syntax Basics
- An Overview of Cloud Databases
- Track 1: Cloud Databases
- Complete Guide to Excel 365: Getting Started
- Platform Fundamentals
- Google Cloud: Getting Started
- Modern Data Management: Data Management Systems
- Modern Data Management: Data Governance
- Modern Data Management: Data Quality Management
- Data for Leaders and Decision-makers
- Track 5: Data Governance and Management
- Final Exam: Data Governance and Management
- Data Lakes
- Modern Data Warehouses
- Track 4: Emerging New Age Architectures
- Final Exam: Emerging New Age Architectures
- Cloud Data Platforms: AWS, Azure, & GCP Comparison
- Academy Accreditation - Generative AI Fundamentals
- Cloud Data Platforms: Cloud Computing
- Cloud Data Platforms: Cloud-based Applications & Storage
- Track 3: Raw Data to Insights
- Final Exam: Raw Data To Insights
- Data Mining and Decision Making: Predictive Analytics for Business Strategies
- Data Mining and Decision Making: Data Mining for Answering Business Questions
- Data Mining and Decision Making: Data Preparation & Predictive Analytics
- Data Mining and Decision Making: Modern Data Science Lifecycle
- Techniques for Big Data Analytics
- Spark for High-speed Big Data Analytics
- Non-relational Data: Non-relational Databases
- Track 2: Big Data Infrastructures
- Final Exam: Big Data Infrastructures
- Big Data Concepts: Big Data Essentials
- Big Data Concepts: Getting to Know Big Data
- Track 1: Data Primer
- Final Exam: Data Primer
- Traditional Data Architectures: Data Warehousing and ETL Systems
- New Age Data Infrastructures: Factors Driving Data Infrastructures
- Azure Databricks & Data Pipelines
- Data Nuts & Bolts: Fundamentals of Data
- Traditional Data Architectures: Relational Databases
- Kanban for Operations: Managing Projects Using Kanban
- DevOps Practices for the Enterprise
- Adopting the DevOps Mindset
- Power BI Bootcamp: Session 1 Replay (August, 2022)
- Functional Programming
- Power BI Bootcamp: Session 1 Replay (May, 2022)
- Power BI Bootcamp: Session 3 Replay (May, 2022)
- Power BI Bootcamp: Session 2 Replay (May, 2022)
- Vignesh J's Transcript
- Vignesh J's Wallet
- About Accredible