ETL Migration

Blogs

Proactive Monitoring of Data Platform using Machine Learning

  • Dipayan Deb
  • 02/05/2024

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...

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Blogs

Data Modernization: eBook Overview for Transforming ETL in the Cloud 

  • Nathan Nickels

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 But what if your data is trapped in outdated legacy systems, hindering your ability to analyze and utilize the data effectively?...

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Blogs

Migrating Legacy ETL to IDMC: What you need to know  

  • samarth shedge
  • 19/04/2024

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...

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Blogs

ETL Modernization with PySpark

  • Amit Thorat
  • 06/11/2023

ETL modernization is the process of updating and improving traditional ETL workflows and systems to meet the evolving needs and challenges of modern data integration and analytics. PySpark is...

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Case Study

Automated ETL Migration of DataStage to Azure Data Factory

  • 09/10/2023

A Fortune 500 multinational department store corporation needed to modernize its legacy ETL platform to a cloud-based solution using Azure as the preferred cloud service provider and Azure Data...

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Blogs

Navigating the Data Modernization landscape and diving into the Data Lakehouse concept and frameworks

  • Shalini Nigam
  • 21/09/2023

In today's data-driven world, organizations are constantly striving to extract meaningful insights from their ever-expanding datasets. To achieve this, they need robust platforms that can seamlessly handle the complexities...

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