Over the past ten years in data, I’ve been fortunate to collaborate with, learn from, and help grow some incredibly talented engineering teams. One thing has become clear along the way: Tools come and go, but the core skills that make a great data engineer remain timeless. In today’s cloud-first, real-time, business-aligned world, here are the five skills I believe every aspiring data engineer must master.
How to Extract HubSpot Data to Azure Data Lake Using Azure Data Factory
In today’s data-driven world, integrating marketing and sales data from platforms like HubSpot into a centralized storage system such as Azure Data Lake is critical for advanced analytics and reporting. Azure Data Factory (ADF) makes it simple to automate this process without writing any code. In this guide, we'll walk through the exact steps needed to pull data from HubSpot and store it in Azure Data Lake Storage Gen2 in JSON format.
How to Scale Up and Scale Down Dedicated SQL pool (SQL DW) using Azure Data factory.
Scaling up and scaling down your Azure Dedicated SQL Pool helps optimize both performance and costs.
Effortlessly Copy Data from Zoho to Azure Data Lake Using Azure Data Factory
Are you looking for a simple way to copy data from Zoho to Azure Data Lake? You're in the right place! With Azure Data Factory (ADF), you can automate the process of copying data from Zoho’s API to Azure Data Lake Storage Gen2, making it easier to store and analyze your data.
How to Load Parquet Files from Azure Data Lake to Data Warehouse
By following these steps, you’ll be able to extract, transform, and load (ETL) your Parquet data into a structured data warehouse environment, enabling better analytics and reporting.
How to Copy Data from JSON to Parquet in Azure Data Lake
In this step-by-step guide, we’ll go through the exact process of creating Linked Services, defining datasets, and setting up a Copy Activity to seamlessly transfer your JSON data to Parquet format.
What are the qualities of a good Data Analyst?
A good Data Analyst should combine technical expertise, strong analytical skills, business acumen, and effective communication to deliver valuable insights and drive data-informed decision-making within an organization.
What is the difference between Azure SQL DB, Azure Dedicated SQL Pool and Elastic Pool?
Azure SQL DB is a fully managed relational database service, Azure Dedicated SQL pool is a distributed analytics service for large datasets, and Elastic Pool is a resource allocation model for managing multiple SQL databases with varying workloads.
Everything you need to know about Cloud Computing
Cloud Computing refers to the process of making computing services available to users over the internet.