Today, most enterprises struggle with rampant data growth and we need to understand why traditional systems are failing. Over the next five years, global data creation is projected to grow to more than 180 zettabytes.   And data-driven decisions are changing our work and life, whether it’s the government, educational institutes, or other financial organizations, data is being seen as a game-changer. Data is the new oil. We need to find it, extract it, refine it, distribute it and monetize it.  ....

In this article, we’ll be talking about the ETL process (Extract, Transform & Load), the need to modernize ETL tools/platforms, and embarking on their modernization journey.   With the exponential growth in the enterprise’s data landscape, traditional ETL tools are not able to handle the volume and complexity of today’s data.   ETL modernization can help us to overcome these limitations, but there is no straightforward approach for converting and migrating these legacy ETL workloads to new....

Today, many enterprises are struggling with tremendous growth in data, and we need to understand why traditional systems are failing to cope with this. And over the next five years, global data creation is projected to grow to more than 180 Zettabytes.   Data-driven decisions are changing our work and life, be it the government or educational institutes, financial or healthcare organizations, data is being seen as a game-changer. So data is the new oil. We need to find it, extract it, refine....