Real-Time Data Pipelines Made Easy with Structured Streaming in Apache Spark | Databricks

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Data Council

Data Council

Күн бұрын

Пікірлер: 18
@ashwinkumar5223
@ashwinkumar5223 Жыл бұрын
Superb Explanation
@tejusization
@tejusization 4 жыл бұрын
28:45 to 29:40 is the best!!! :D just don't miss that. sets the context
@mohitmehta3788
@mohitmehta3788 4 жыл бұрын
Very simplified approach of explaining streaming.
@HridyanshiB.
@HridyanshiB. 6 жыл бұрын
Good explanation about streaming..Thanks
@danielmackie82
@danielmackie82 6 жыл бұрын
What would be an open source equivalent of DB delta?
@yourstruly5DA
@yourstruly5DA 5 жыл бұрын
Good presentation. Would like to understand more how it could integrate and scale with Apache Kafka.
@satria5403
@satria5403 4 жыл бұрын
Hi, please let me know if u have good resources for this. thank you
@venkat.k4392
@venkat.k4392 4 жыл бұрын
Appreciated. Thanks you for a great knowledge share.
@zhengfang303
@zhengfang303 5 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?
@parthadeb3723
@parthadeb3723 4 жыл бұрын
A dataframe is immutable. You cannot update a dataframe. You have to create an new dataframe.
@thesleepyhead7273
@thesleepyhead7273 6 жыл бұрын
How about integrating this with Tensorflow Serving for end to end Analytics paradigm
@michaelbrenndoerfer9908
@michaelbrenndoerfer9908 6 жыл бұрын
Google Hydrogen
@sujithkumar804
@sujithkumar804 4 жыл бұрын
@@michaelbrenndoerfer9908 lol
@JanekBogucki
@JanekBogucki 4 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.
@onewithsixonewithsix601
@onewithsixonewithsix601 4 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.
@GrayMatterSoftware
@GrayMatterSoftware 4 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
@albertoandreotti7940
@albertoandreotti7940 5 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.
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