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BigData and Deep Learning (2010s-2020s): The availability of massive amounts of data and increased computational power led to the rise of BigData analytics. Deep Learning, a subfield of ML, gained attention with the development of deep neural networks.
Databricks Databricks is a cloud-native platform for bigdata processing, machine learning, and analytics built using the Data Lakehouse architecture. Delta Lake Delta Lake is an open-source storage layer that provides reliability, ACID transactions, and data versioning for bigdata processing frameworks such as Apache Spark.
Machine Learning Engineer with AWS Professional Services. She is passionate about developing, deploying, and explainingAI/ ML solutions across various domains. Prior to this role, she led multiple initiatives as a data scientist and MLengineer with top global firms in the financial and retail space.
Getting a workflow ready which takes your data from its raw form to predictions while maintaining responsiveness and flexibility is the real deal. At that point, the Data Scientists or MLEngineers become curious and start looking for such implementations.
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