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<\/a><\/figure>\n\n\t\t\n\t\tThe Impact of Limitless Processing and Low-Cost Storage on ETL<\/h4>\n\n\n\n
Cloud platforms have changed the game. With breathtaking processing capabilities and competitive data storage costs, one wonders if the old ETL model still has its place. Platforms like Snowflake<\/a> and BigQuery handle data on a scale and speed unimaginable just a few years ago, all while keeping costs under control.<\/p>\n\n\n\n So, is this the end of ETLs? Let’s investigate.<\/p>\n\n\n\n ETLs are like old habits that are hard to break. They require specific skills to create and maintain, leading to technical debt that becomes challenging to manage. Data engineers are also shifting their skills towards more modern solutions. These processes can seem heavy and rigid compared to the agile solutions offered by the cloud. Moreover, they originated in a world where storage and processing were expensive. Back then, data engineers preferred to process data before ingesting it.<\/span> New data platforms offer a range of automated ingestion methods. They provide a seductive alternative, simplifying data integration and making traditional ETL processes almost obsolete. These solutions are more flexible and in tune with the current needs of companies, including streaming and real-time data processing.<\/p>\n\n\n\n The job market in the data field is evolving. Today’s talents are increasingly turning away from traditional solutions. They are embracing cloud-native approaches and CI\/CD practices, not to mention the fast-growing dbt community. This trend marks a significant turning point, reducing the appeal of classic ETL processes.<\/p>\n\n\n\n Ultimately, we all want a faithful and up-to-date copy of operational data on our data platforms. Cloud-oriented solutions<\/a> seem much more suitable for data synchronisation and replication. ETLs, with their heavier and less flexible approach, are losing ground.<\/p>\n\n\n\n Are ETLs a relic of a bygone era? Perhaps not entirely. They are often connected to source systems, which can be practical for feeding a data platform. However, modern data platforms are redefining the rules of the game. The transition to more suitable, agile, and cloud-aligned solutions is underway.<\/p>\n\n\n\n What do you think? Are we witnessing the end of ETLs, or is it just another evolution in the world of data<\/a>?<\/p>\n\n\n\n <\/p>\n\n\n\n With a team of 1,000+ data consultants with over 960 certifications across leading cloud platforms like AWS, Google Cloud, Microsoft, DataBricks and Snowflake, Devoteam helps you navigate the changing data landscape and modernise your data integration strategy.<\/p>\n\n\n\nLimitations of Traditional ETLs<\/h4>\n\n\n\n
Data Cloud Platforms and Automated Ingestion<\/h4>\n\n\n\n
Evolution of Talent and Cloud-Native Approaches<\/h4>\n\n\n\n
Synchronisation and Data Replication<\/h4>\n\n\n\n
Conclusion: The Future of ETL in the Age of Data Platforms<\/h4>\n\n\n\n
<\/span>\n\n\n\nDevoteam helps guide you through modern data integration solutions.<\/h2>\n<\/div>\n\n\n\n