28:45 to 29:40 is the best!!! :D just don't miss that. sets the context
@mohitmehta37884 жыл бұрын
Very simplified approach of explaining streaming.
@HridyanshiB.6 жыл бұрын
Good explanation about streaming..Thanks
@danielmackie826 жыл бұрын
What would be an open source equivalent of DB delta?
@yourstruly5DA5 жыл бұрын
Good presentation. Would like to understand more how it could integrate and scale with Apache Kafka.
@satria54034 жыл бұрын
Hi, please let me know if u have good resources for this. thank you
@venkat.k43924 жыл бұрын
Appreciated. Thanks you for a great knowledge share.
@zhengfang3035 жыл бұрын
When the data has entered the dataframe, if the data has been updated or deleted, how can I update or delete it in the dataframe?
@parthadeb37234 жыл бұрын
A dataframe is immutable. You cannot update a dataframe. You have to create an new dataframe.
@thesleepyhead72736 жыл бұрын
How about integrating this with Tensorflow Serving for end to end Analytics paradigm
@michaelbrenndoerfer99086 жыл бұрын
Google Hydrogen
@sujithkumar8044 жыл бұрын
@@michaelbrenndoerfer9908 lol
@JanekBogucki4 жыл бұрын
23:30 A single rogue timestamp which is one hour ahead of the second max timestamp would drop all earlier buckets except one bucket corresponding to this single anomalous value. This is fragile.
@onewithsixonewithsix6014 жыл бұрын
Unless there is crazy issue in code manipulating timestamp. It is not a probable scenario to get timestamp ahead of actual unix time.
@GrayMatterSoftware4 жыл бұрын
Want to know about the best Practices for Real-Time Analytics Architecture on Big Data? Read here: www.graymatter.co.in/real-time-analytics-bigdata-architecture/ Know more: www.graymatter.co.in/real-time-analytics/ Watch here: kzbin.info/www/bejne/oonHip5pncaea5Y
@albertoandreotti79405 жыл бұрын
This is a big disappointment. You cannot stream pipelines built with dataframes. Unified processing framework?? come on! You have to build new versions of all your algorithms so now they can work with a DStream? What a waste of time.