Data Collection - Summary - Part 3

In this video I talk about how #datacollection must be thought as horizontal capabilities on which multiple #usecases can be built. #Centralize #DataOonce and use it across enterprise. One can enable multiple consumption pattern on centralized data like Business Intelligence, Dashboard, Data Mining etc In this Video we will talk about different data collection mechanism. Centralizing data asset along with governance surrounding it is one of the key need in data driven enterprise and also important for AI initiative to accelerate faster In previous part we covered foundational principles of data architecture and talked about various concept for centralizing data namely Data Warehouse and Data Lake. Below is the link in case if you have not watched it already https://www.youtube.com/watch?v=r9HefYOhFVs&t=2s And in subsequent video we explored various techniques to collect data from disparate system of records and centralize then in enterprise data platform. Video below https://www.youtube.com/watch?v=ZeXgphIV6OM You can follow my post on this topic in LinkedIn https://www.linkedin.com/feed/hashtag/end2endds/ Also articled under my LinkedIn profile https://www.linkedin.com/in/srivatsan-srinivasan-b8131b/detail/recent-activity/posts/ I have also put slideshare presentation on this topic that is available in below location https://www.slideshare.net/srivatsan88/real-world-end-to-end-machine-learning-pipeline-157130773 Follow me on LinkedIn below if you want to get updates on this topic as and when I publish https://www.linkedin.com/in/srivatsan-srinivasan-b8131b/ #Data Collection #Data Ingestion #Data gathering #Data Lake #Machine Learning