You all prolly dont care but does someone know a way to get back into an Instagram account? I was stupid forgot the password. I love any help you can give me.
@Zakai Gerald thanks so much for your reply. I found the site through google and im in the hacking process atm. I see it takes a while so I will get back to you later when my account password hopefully is recovered.
Can we stream the data from different sources and try to evaluate their differences? Can someone help me with more info on how we can stream data from many sources?
@7:15 -> I'm sorry but this example is in my view a very bad piece of Scala code. I would rather use named case classes with the Dataset interface. It takes 2 minutes longer but is much more readable. The code shown here just spreads the word that Scala is a cryptic and hard to understand language. It doesn't really to have to look this bad.
One of best talks on Spark Streaming.. Great Work
The actual spark streaming content begins at ~1:18:00 The prior is a very good review of spark, rdd, dataframes.
You all prolly dont care but does someone know a way to get back into an Instagram account?
I was stupid forgot the password. I love any help you can give me.
@Wesley Reece Instablaster ;)
@Zakai Gerald thanks so much for your reply. I found the site through google and im in the hacking process atm.
I see it takes a while so I will get back to you later when my account password hopefully is recovered.
@Zakai Gerald it worked and I now got access to my account again. Im so happy:D
Thank you so much you really help me out !
@Wesley Reece Happy to help :D
A very good intro to Spark Streaming. Lots of really useful information. Very good presentation by Brian.
Excellent presentation. Kudos to Brian, he's a good speaker and he clearly knows his stuff!
Great presentation on Spark and Spark Streaming. Very informative.
Interestingly "Dataframe" is R concept and i guess with R now being run in Spark cluster, Dataframe is included in Spark. Great presentation Brian!!
Really useful video on spark and spark streaming.
Anyone who wants to directly jump into streaming, it's at 1:18:40 (ua-cam.com/video/2STfulBcorA/v-deo.html)
Brilliant talk with amazing depth!
thanks a lot Brian , can you please share the notebook?
Awesome lecture!
What happens if the machine currently running the receiver thread crash? will another instance be started be on a different thread?
Amazing tutorial! I feel so lucky to find the brilliant lecture.
Can we stream the data from different sources and try to evaluate their differences? Can someone help me with more info on how we can stream data from many sources?
Does anyone know where I can get the PPT used in the video?
Great presentation by a mile compared to others!
Does Data frame support an xml schema? Please clarify
Thank you very much Sir, Excellent Job !
Brilliant talk. Thanks!
where can I get the slides????
Excellent talk. Thank you!
1:18:00 Spark streaming
Very Nice Video !
Goooood one
What a talk!
Perfect
@7:15 -> I'm sorry but this example is in my view a very bad piece of Scala code. I would rather use named case classes with the Dataset interface. It takes 2 minutes longer but is much more readable. The code shown here just spreads the word that Scala is a cryptic and hard to understand language. It doesn't really to have to look this bad.
I didn't know George Lucas can do programming too