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.
With Azure Data Factory, copying files from SharePoint to Data Lake becomes a breeze. By leveraging Azure Data Factory's intuitive interface and robust features, you can easily set up connections to your SharePoint environment and Data Lake Storage Gen2. This allows you to define datasets representing the source (SharePoint) and the sink (Data Lake), specifying the exact locations from which data will be extracted and where it will be stored.
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.
The field of data analytics is evolving rapidly, and new trends and technologies are emerging every month, below are the latest trends as of now: Augmented Analytics: Augmented analytics combines artificial intelligence (AI) and machine learning (ML) techniques with data analytics to automate data preparation, insight generation, and data visualization. It empowers non-technical users to... Continue Reading →
Microsoft Copilot is an AI-powered code completion tool developed by Microsoft in collaboration with OpenAI that uses machine learning to provide code suggestions and completions to developers as they write code. It is designed to help developers be more productive by automating some of the more repetitive tasks of coding. It has the potential to... Continue Reading →
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