At its core, a data warehouse (DW) is a centralized repository that consolidates data from across the enterprise, spanning sales, finance, marketing, supply chain, and HR into a clean, structured, and analytics-ready format.
At its core, MDM is the practice of defining, managing, and governing the most critical data entities such as customers, products, suppliers, locations, employees so that the entire organization agrees on a single version of the truth.
This year marks a major milestone for me: 10 years in the data and analytics industry. Over the past decade, I’ve had the privilege to work across various domains, lead talented teams, implement large-scale cloud architectures, and help organizations transform raw data into strategic advantage.
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.
Scaling up and scaling down your Azure Dedicated SQL Pool helps optimize both performance and costs.
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.
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.
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.
This blog post will help you build an automated and effortless way to keep your Azure Analysis Services model up-to-date using Azure Data Factory, ensuring accurate insights with seamless refreshment.
A step-by-step guide on how to send emails to multiple recipients using SparkPost in Azure Data Factory.
Notifying users when the pipeline ran successfully or whenever an issue has occurred is one of the key components of an ETL pipeline. In this blog, we have covered a step-by-step guide on how to send emails to multiple recipients using SparkPost in Databricks.
Azure Dedicated SQL pool (SQL DW) has many benefits like Massive parallel processing (MPP) architecture to scale compute and storage resources independently, allowing for high-performance analytics but one big issue with this Azure resource is the cost associated with it. Microsoft charges Dedicated SQL Pool on Hourly basis, so it means then you must pay when the SQL DW is on even if you are not using it for development or analysis.
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