Reporting on Activities Across Apps
In the modern digital workplace, businesses rely on a multitude of applications to manage daily operations. From sales and marketing tools like Dynamics 365 and HubSpot, to communication platforms like….
Tag: ETL
Dataflows for Incremental Data Loads
Introduction In the world of data analytics and business intelligence, managing large datasets efficiently is crucial. As organizations accumulate more data from various sources, ensuring timely and optimized data refreshes….
Using Azure Data Factory for CRM Data
Table of Contents 1. Introduction to Azure Data Factory (ADF) Azure Data Factory (ADF) is Microsoft’s cloud-based ETL (Extract, Transform, Load) and data integration service. It enables organizations to: ADF….
Using Azure Synapse with Dynamics
Using Azure Synapse with Dynamics 365: Unifying Data and Enhancing Analytics In today’s business landscape, data is one of the most valuable assets a company can have. Organizations use a….
Syncing Salesforce Data into Dynamics
In today’s enterprise environment, companies often run multiple systems for customer relationship management (CRM), sales, and marketing. Salesforce and Microsoft Dynamics 365 (D365) are two of the most widely used….
Extending Dataverse with External Data Sources
Extending Microsoft Dataverse with external data sources is a powerful way to integrate disparate systems and services into a unified data platform. Here’s a breakdown of how to approach it,….
ETL vs ELT in cloud data workflows
ETL vs ELT in Cloud Data Workflows: Comprehensive Overview In modern cloud-based data workflows, the choice between ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) is crucial. Both approaches….
Delta Lake on Azure/GCP
Delta Lake on Azure/GCP: A Comprehensive Guide Introduction to Delta Lake Delta Lake is an open-source storage layer that brings reliability, consistency, and performance to cloud data lakes. It is….
Data lakes and warehouses in the cloud
Data Lakes and Data Warehouses in the Cloud In the age of big data, organizations generate massive amounts of information from various sources, such as applications, sensors, and social media…..
Spring Batch Processing
Spring Batch is a powerful, lightweight framework designed for the development of robust batch processing applications in Java. It provides a comprehensive infrastructure for processing large volumes of data and….