Found this presentation both informative and engaging - GLAD you recorded it. Like others, there's SO much here that I've already stop/rewound/restarted portions numerous times, until it took me an hour to get through a 28 min presentation ;-) I too noticed a few "verbal typos", but it was clear you UNDERSTOOD the terms, so it was easy to follow the slides while listening ;-) .. ONE QUESTION: I've reviewed it repeatedly, but I'm still NOT sure about one thing: Around the 8:05 mark you show a slide with "Stringly-typed methods will 'downcast' to generic "Row" objects. - the term "Stringly-typed" is a term, a SLANG term hinting at developers who type MOST of their variables as String, but IS this what you really MEANT? - the term "Strongly-typed" is indeed a NON-slang term, and actually (to me) makes as much or MORE sense in the sentence. QUESTION: DID you really mean STRINGLY-typed, or STRONGLY-typed, and - IF STRINGLY-typed, why? and why NOT STRONGLY-typed? Hope you (or anyone else) still reply after 18 months :-) KEEP UP THE GREAT POSTS !
I know Im randomly asking but does anyone know a trick to get back into an Instagram account?? I stupidly lost the account password. I love any tips you can offer me.
@Drew Xzavier thanks for your reply. I got to the site on google and Im trying it out atm. Seems to take a while so I will reply here later with my results.
Great talk!!! I set up a spark-cluster with 2 workers. I save a Dataframe using partitionBy ("column x") as a parquet format to some path(same path) on each worker. The matter is that i am able to save it but if i want to read it back i am getting these errors: - Could not read footer for file file´status ...... - unable to specify Schema ... Any Suggestions? REPLY
Good, to the point presentation besides few wrong spellings and mispronunciations. It is "Cartesian" and "Kyro" instead of "Cartesian" and "Crayo" respectively.
Scala + Kafka + Spark = SuperDataPipeline
Superb! I must say the best presentation for a long time..
the best youtube spark video I found so far!
Found this presentation both informative and engaging - GLAD you recorded it.
Like others, there's SO much here that I've already stop/rewound/restarted portions numerous times, until it took me an hour to get through a 28 min presentation ;-)
I too noticed a few "verbal typos", but it was clear you UNDERSTOOD the terms, so it was easy to follow the slides while listening ;-) ..
ONE QUESTION:
I've reviewed it repeatedly, but I'm still NOT sure about one thing:
Around the 8:05 mark you show a slide with "Stringly-typed methods will 'downcast' to generic "Row" objects.
- the term "Stringly-typed" is a term, a SLANG term hinting at developers who type MOST of their variables as String, but IS this what you really MEANT?
- the term "Strongly-typed" is indeed a NON-slang term, and actually (to me) makes as much or MORE sense in the sentence.
QUESTION: DID you really mean STRINGLY-typed, or STRONGLY-typed, and
- IF STRINGLY-typed, why? and why NOT STRONGLY-typed?
Hope you (or anyone else) still reply after 18 months :-)
KEEP UP THE GREAT POSTS !
Great add-ons and crisp and clear presentation!
I know Im randomly asking but does anyone know a trick to get back into an Instagram account??
I stupidly lost the account password. I love any tips you can offer me.
@Louis Alfonso Instablaster ;)
@Drew Xzavier thanks for your reply. I got to the site on google and Im trying it out atm.
Seems to take a while so I will reply here later with my results.
@Drew Xzavier it did the trick and I now got access to my account again. Im so happy:D
Thank you so much you saved my ass!
@Louis Alfonso You are welcome =)
Great talk!!!
I set up a spark-cluster with 2 workers. I save a Dataframe using partitionBy ("column x") as a parquet format to some path(same path) on each worker. The matter is that i am able to save it but if i want to read it back i am getting these errors: - Could not read footer for file file´status ...... - unable to specify Schema ... Any Suggestions?
REPLY
Man! this is great.
Very lean, good stuff
Can someone tell how to update a column in dataframe pls
You can just overwrite it with df.withColumn("col_name", lit("message_content"))
Use dataframe.withColumn(newColumnName, any objective of type Column)
Good, to the point presentation besides few wrong spellings and mispronunciations. It is "Cartesian" and "Kyro" instead of "Cartesian" and "Crayo" respectively.
this man is awesome
#ApacheSpark
Kyro not Kryo