Data Warehouse Modernization

Blogs

Proactive Monitoring of Data Platform using Machine Learning

Dipayan Deb
23/05/2024

Minimizing resolution time of any problems impacting your critical applications is key to maintaining operations and keeping end users and consumers happy. Delays in time-to-production such as errors with...

Blogs

Data Modernization: eBook Overview for Transforming ETL in the Cloud

Nathan Nickels
16/05/2024

The modern business landscape thrives on data-driven insights. But what if your data is trapped in outdated legacy systems, hindering your ability to analyze and utilize the data effectively?...

Blogs

Migrating Legacy ETL to IDMC: What you need to know

Samarth Shedge
30/04/2024

Legacy ETL systems, while robust and familiar, often lack the scalability, agility, and cloud-native capabilities of modern solutions. This can hinder your organization's ability to leverage data for competitive...

Case Study

Automated Informatica ETL Migration to Azure Data Factory and Snowflake EDW

25/04/2024

A national used vehicle retailer needed to migrate its on-premise legacy Enterprise Data Warehouse built on Informatica and Teradata to the cloud in Azure Data Factory and Snowflake to...

Case Study

Migration of Informatica to Azure Data Factory and PL/SQL to Synapse SQL

18/01/2024

A provincial transportation ministry needed to migrate its existing data integration from Informatica to Azure Data Factory (ADF) and PL/SQL code to Synapse SQL to be able to leverage...

Blogs

ETL Modernization with PySpark

Amit Thorat
20/11/2023

PySpark programmatical ETL versus GUI-based ETL PySpark programmatic ETL and GUI-based ETL are two different approaches to ETL (Extract, Transform, and Load).PySpark programmatic ETL involves writing ETL code in...