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Dynamo Data Class Sessions
Our mission is to offer world class Bootcamp training.
Module 1: Provisioning a Robust SQL Server
Module 1: Provisioning a Robust SQL Server
Introduction to SQL Server and its features
Installing and configuring SQL Server
Understanding database architecture and components
Managing users, permissions, and roles
Implementing security best practices
Module 2: Efficient Data Warehouse Architecture with SSIS
Module 2: Efficient Data Warehouse Architecture with SSIS
Introduction to Data Warehousing and its importance
Designing and creating a data warehouse using SSIS
Extracting data from various sources
Transforming and cleaning data for analysis
Loading data into the data warehouse
Module 3: Real-time Cloud Analytics with Azure Synapse & Power BI
Module 3: Real-time Cloud Analytics with Azure Synapse & Power BI
Overview of cloud-based data analytics
Introduction to Azure Synapse Analytics
Integrating Azure Synapse with Power BI for real-time reporting
Building interactive dashboards and reports
Module 4: Backup and Restore
Module 4: Backup and Restore
Importance of data backup and recovery
Different backup strategies and their applications
Performing database backups and restores in SQL Server
Automating backup processes for improved reliability
Module 5: Optimizing SQL Server Performance
Module 5: Optimizing SQL Server Performance
Identifying performance bottlenecks and issues
Query optimization techniques
Indexing strategies for improved query execution
Monitoring and fine-tuning SQL Server for optimal performance
Module 6: Securing SQL Server
Module 6: Securing SQL Server
Understanding common security threats and vulnerabilities
Implementing authentication and authorization mechanisms
Encrypting data at rest and in transit
Auditing and monitoring for security compliance
Module 7: High Availability & Disaster Recovery Solution
Module 7: High Availability & Disaster Recovery Solution
Implementing high availability solutions like AlwaysOn Availability Groups
Configuring database mirroring and log shipping
Creating disaster recovery plans and strategies
Module 8: Streamlined ETL Pipeline with Python
Module 8: Streamlined ETL Pipeline with Python
Introduction to Python for ETL tasks
Extracting and loading data using Python libraries
Data transformation and manipulation with Python
Automating ETL workflows for efficiency
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