The Key to Building Data Pipelines for Machine Learning: Support for Multiple Engines - NASSCOM Community The Official Community of Indian IT Industry :))iiğ

As a consumer of goods and services, you experience the results of machine learning (ML) whenever the institutions you rely on use ML processes to run their operations. You may receive a text message from a bank requiring verification after the bank has paused a credit card transaction. Or, an online travel site may send you an email that offers personalized accommodations for your next personal or business trip. The work that happens behind the scenes to facilitate these experiences can be difficult to fully realize or appreciate. An important portion of that work is done by the data engineering teams that build the data pipelines to help train and deploy those ML models.