MSSQLTips Author Profile - Temidayo Omoniyi

Temidayo Omoniyi is a Microsoft Certified Data Analyst, Microsoft Certified Trainer, Power Platform Developer, Azure Data Engineer, Content Creator, and Technical writer with over three years of experience.

Currently, he works as a data and business intelligence analyst for a training and consulting company in Lagos, Nigeria.

Temidayo enjoys creating educative content on YouTube, LinkedIn, Twitter, and other online platforms. He loves sharing his knowledge and writing about systems, applications, tools, and processes.

Apart from training, writing, and coding, you will find him watching and reading Anime. He is a big fan of DC Comics.

2023 Awards MSSQLTips award

Category	Tip Title
Azure Data Factory	Data Transformation and Migration Using Azure Data Factory and Azure Databricks
Azure Data Factory	Dynamically Move Multiple Tables in Bulk using Azure Data Factory ForEach and Lookup Activities
Azure Data Factory	Ingesting Data from Google Drive to Azure Data Lake Gen2 using Azure Data Factory
Azure Data Factory	Managing Failed Pipeline Runs in Azure Data Factory
Azure Databricks	Azure Databricks Tables - Delta Lake, Hive Metastore, TempViews, Managed, External
Azure Databricks	Creating a Modern Data Production Pipeline using Azure Databricks and Azure Data Factory
Azure Databricks	Git Integration Repo in Databricks Workspaces for Developer Collaboration
Azure Databricks	Import JSON Files into Databricks Spark and import Excel files into Databricks
Azure Databricks	Mount Azure Blob Storage, Azure Data Lake Gen 2, Azure SQL and Azure Cosmos DB to Azure Databricks
Azure Databricks	Understanding Databricks Unity Catalog for Unified Data Governance
Azure SQL Database	Dynamically Copy Data from an On-Premises SQL Server to Azure SQL Database
Azure Synapse Analytics	Azure Synapse Analytics and Power BI Integration
Cloud Strategy	Apache Kafka for Streaming Real-Time Data
Cloud Strategy	Build a Streaming Data Architecture with Apache Kafka and Zookeeper
Cloud Strategy	How to Design a Real-Time Streaming Platform with Azure
Cloud Strategy	Predictive Analysis and Descriptive Analysis with Azure Stream Analytics, Machine Learning and Power BI
PostgreSQL	Migrate a SQL Server Database to a PostgreSQL Database
Power BI	Connect Power BI to Azure Data Lake Gen2 Storage for Reporting
Power BI	Power BI Data Gateway to Connect Data Sources in the Cloud and On-Premises
Power BI	Power BI Datamart Low-Code and No-Code Functionality to Streamline Reporting
Power BI	Understanding Power BI Dataflows and Connect to Various Data Sources
Power BI	Understanding Power BI Security Options - Row-Level, Column-Level and Object-Level Security
Python	Automate ETL Processes with PySpark on a Windows Server
Python	Provisioning with Azure CLI and Automating a Python ETL Pipeline

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