Wide and narrow (sometimes un-stacked and stacked) are terms used to describe two different presentations for tabular data.
Wide
Wide, or unstacked data is presented with each different data variable in a separate column.
Narrow
Narrow, or stacked data is presented with one column containing all the values and another column listing the context of the value
This is often easier to implement, addition of a new field does not require any changes to the structure of the table, however it can be harder for people to understand.
Implementations
Many statistical and data processing systems have functions to convert between these two presentations, for instance the R programming language has several packages such as the reshape package
Narrow vs. Wide Tables (Part 1) - FileMaker Fundamentals
Looking for FileMaker information which will help you best plan your solution for the future? Maybe you need to know how to create a structure which will perform well down the road.
In this video, you'll find a lot of necessary information about how to structure your FileMaker tables so they both perform well and display well.
Brought to you by https://www.filemakermagazine.com
Link to this video on our web site.
https://www.filemakermagazine.com/videos/narrow-vs-wide-tables
Spark Architecture Part 5 : Spark narrow & wide transformations #spark #sparktransformations
What is scaling? Vertical vs horzontal scaling?
https://youtu.be/wg7MYTbsSC8
what is VCPU? CPU - Core - Threads
https://youtu.be/4FQlA5FJERA
Spark Architecture Part 1: Spark Vs Hadoop MR spark vs mapreduce
https://youtu.be/Ir3U0HmnfVI
Spark Architecture Part2 : master slave architecture , Single node cluster , multi note cluster
https://youtu.be/_DpT8q5auqk
Spark Architecture Part 3 : sparksession vs sparkcontext
https://youtu.be/v2roktqTixI
Spark Architecture Part 4 : Spark job to stage and stage to task spark job spark stages
https://youtu.be/Ycwhmg6vIyc
Spark Architecture Part 5 : Spark narrow & wide transformations
https://youtu.be/uNMkRjoGkKA
Spark Architecture Part 6 : pyspark word co...
published: 20 Jan 2023
Wide vs Narrow Transformation | Spark Tutorial | Interview Question
#Narrow #Wide #Spark #Internal: In this video , We have discussed in detail about the Spark - Wide and Narrow transformation.
Please join as a member in my channel to get additional benefits like materials in BigData , Data Science, live streaming for Members and many more
Click here to subscribe : https://www.youtube.com/channel/UCZqHmLZxX0KC6PiJHETflOg
About us:
We are a technology consulting and training providers, specializes in the technology areas like : Machine Learning,AI,Spark,Big Data,Nosql, graph DB,Cassandra and Hadoop ecosystem.
Mastering Spark : https://www.youtube.com/watch?v=bU57q5R5eTc&list=PLtfmIPhU2DkNWZsSBDKclMfLU8uCOB1kW
Mastering Hive : https://www.youtube.com/watch?v=9cZNf5Qi0YI&list=PLtfmIPhU2DkNS1pCdpxW5Zwn22mdOOtnk
Spark Interview Questions : https://www.youtu...
published: 02 Oct 2019
Narrowband vs Broadband|Narrowband vs Wideband|Narrow band and Wide band difference|Broadband
Narrowband vs Broadband|Narrowband vs Wideband|Narrow band and Wide band difference
broadband vs narrowband
narrow band voice band and broadband
published: 26 Jun 2019
Narrow vs Wide transformation in SPARK?
published: 17 Sep 2023
narrow and wide transformation in spark | | Operations in Pyspark RDD | Pyspark tutorials - 6
#PySpark
This is Sixth Video with a explanation of Pyspark RDD Narrow and Wide Transformations Operations.
i have covered below Transformations in this video:
Narrow : Map,Filter,flatmap,filter,sample,union
Wide : Intersection,Join,Distinct.
Stay tuned for Part 6 Video of Key Value Pair RDD Transformations in PYSPARK
BIG DATA IS PROBLEM and HADOOP IS A SOLUTION
Hit the Like button if you really liked the video.
Code is uploaded in to the Google Drive Link and Github link
Python Playlist: https://www.youtube.com/playlist?list...
AI PlayList: https://www.youtube.com/playlist?list...
Join Whatsapp Group for AI : https://chat.whatsapp.com/IB6fQBEcZAd8JSuAU4h9Fe
Telegram Group : http://www.t.me/@MachineLearningIndia
Subscribe my Channel https://www.youtube.com/c/RanjanSharma
Google Drive...
published: 06 Aug 2020
SAS Tutorial | Narrow to Wide Transpose in SAS
Follow along in the SAS How To Tutorial as SAS instructor Kristin Snyder provides the when (and why) you should move data from a narrow or long table into a wide-form table using SAS Transpose. Need to move data from a Wide table into a Narrow table? She has a video for that, too! Find the link below.
View Code and Download Data Files
https://github.com/sascommunities/sas-howto-tutorials/tree/master/transpose
Chapters
00:00 – Narrow vs. wide data
01:46 – Basic PROC TRANSPOSE step
03:56 – Add a BY statement to transpose by group
05:19 – Add and ID statement to modify the column names
06:13 – Use a VAR statement to include only the necessary variables
06:53 - Add a WHERE statement to filter the data
07:43 – Include the character variable
08:37 – Use the OUT= option to rename the output tab...
published: 05 Dec 2022
Understanding Narrow Vs Wide Transformations in Apache Spark under 60 Seconds | FAQ #interview
Understanding Narrow Vs Wide Transformations in Apache Spark under 60 Seconds | FAQ #interview
In Apache Spark, Narrow transformations are preferred whenever possible because they are more efficient and can be executed in parallel without requiring data shuffling. Wide transformations are necessary for operations that require data redistribution or aggregation across partitions, but they incur higher overhead due to data shuffling. Efficient use of narrow transformations can help optimize Spark jobs for better performance and resource utilization.
Most commonly asked interview questions when you are applying for any data based roles such as data analyst, data engineer, data scientist or data manager.
Don't miss out - Subscribe to the channel for more such interesting information
Soci...
published: 29 Mar 2024
PYSPARK tutorials __ by Mr. N. Vijay Sunder Sagar Sir
PYSPARK tutorials __ by Mr. N. Vijay Sunder Sagar Sir
Looking for FileMaker information which will help you best plan your solution for the future? Maybe you need to know how to create a structure which will perfor...
Looking for FileMaker information which will help you best plan your solution for the future? Maybe you need to know how to create a structure which will perform well down the road.
In this video, you'll find a lot of necessary information about how to structure your FileMaker tables so they both perform well and display well.
Brought to you by https://www.filemakermagazine.com
Link to this video on our web site.
https://www.filemakermagazine.com/videos/narrow-vs-wide-tables
Looking for FileMaker information which will help you best plan your solution for the future? Maybe you need to know how to create a structure which will perform well down the road.
In this video, you'll find a lot of necessary information about how to structure your FileMaker tables so they both perform well and display well.
Brought to you by https://www.filemakermagazine.com
Link to this video on our web site.
https://www.filemakermagazine.com/videos/narrow-vs-wide-tables
Spark Architecture Part 5 : Spark narrow & wide transformations #spark #sparktransformations
What is scaling? Vertical vs horzontal scaling?
https://youtu....
Spark Architecture Part 5 : Spark narrow & wide transformations #spark #sparktransformations
What is scaling? Vertical vs horzontal scaling?
https://youtu.be/wg7MYTbsSC8
what is VCPU? CPU - Core - Threads
https://youtu.be/4FQlA5FJERA
Spark Architecture Part 1: Spark Vs Hadoop MR spark vs mapreduce
https://youtu.be/Ir3U0HmnfVI
Spark Architecture Part2 : master slave architecture , Single node cluster , multi note cluster
https://youtu.be/_DpT8q5auqk
Spark Architecture Part 3 : sparksession vs sparkcontext
https://youtu.be/v2roktqTixI
Spark Architecture Part 4 : Spark job to stage and stage to task spark job spark stages
https://youtu.be/Ycwhmg6vIyc
Spark Architecture Part 5 : Spark narrow & wide transformations
https://youtu.be/uNMkRjoGkKA
Spark Architecture Part 6 : pyspark word count program example
https://youtu.be/3Nf3WcWwb88
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Spark Architecture Part 5 : Spark narrow & wide transformations #spark #sparktransformations
What is scaling? Vertical vs horzontal scaling?
https://youtu.be/wg7MYTbsSC8
what is VCPU? CPU - Core - Threads
https://youtu.be/4FQlA5FJERA
Spark Architecture Part 1: Spark Vs Hadoop MR spark vs mapreduce
https://youtu.be/Ir3U0HmnfVI
Spark Architecture Part2 : master slave architecture , Single node cluster , multi note cluster
https://youtu.be/_DpT8q5auqk
Spark Architecture Part 3 : sparksession vs sparkcontext
https://youtu.be/v2roktqTixI
Spark Architecture Part 4 : Spark job to stage and stage to task spark job spark stages
https://youtu.be/Ycwhmg6vIyc
Spark Architecture Part 5 : Spark narrow & wide transformations
https://youtu.be/uNMkRjoGkKA
Spark Architecture Part 6 : pyspark word count program example
https://youtu.be/3Nf3WcWwb88
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#Narrow #Wide #Spark #Internal: In this video , We have discussed in detail about the Spark - Wide and Narrow transformation.
Please join as a member in my cha...
#Narrow #Wide #Spark #Internal: In this video , We have discussed in detail about the Spark - Wide and Narrow transformation.
Please join as a member in my channel to get additional benefits like materials in BigData , Data Science, live streaming for Members and many more
Click here to subscribe : https://www.youtube.com/channel/UCZqHmLZxX0KC6PiJHETflOg
About us:
We are a technology consulting and training providers, specializes in the technology areas like : Machine Learning,AI,Spark,Big Data,Nosql, graph DB,Cassandra and Hadoop ecosystem.
Mastering Spark : https://www.youtube.com/watch?v=bU57q5R5eTc&list=PLtfmIPhU2DkNWZsSBDKclMfLU8uCOB1kW
Mastering Hive : https://www.youtube.com/watch?v=9cZNf5Qi0YI&list=PLtfmIPhU2DkNS1pCdpxW5Zwn22mdOOtnk
Spark Interview Questions : https://www.youtube.com/watch?v=G4D4iY_hZQ0&list=PLtfmIPhU2DkNjQjL08kR3cd4kUzWqS0vg
Mastering Hadoop : https://www.youtube.com/watch?v=OSMVKV6zitM&list=PLtfmIPhU2DkNDLMLPQS28A5TF75exFt_F
Visit us :
Email: [email protected]
Facebook : https://www.facebook.com/Tech-Greens
Twitter :
Thanks for watching
Please Subscribe!!! Like, share and comment!!!!
#Narrow #Wide #Spark #Internal: In this video , We have discussed in detail about the Spark - Wide and Narrow transformation.
Please join as a member in my channel to get additional benefits like materials in BigData , Data Science, live streaming for Members and many more
Click here to subscribe : https://www.youtube.com/channel/UCZqHmLZxX0KC6PiJHETflOg
About us:
We are a technology consulting and training providers, specializes in the technology areas like : Machine Learning,AI,Spark,Big Data,Nosql, graph DB,Cassandra and Hadoop ecosystem.
Mastering Spark : https://www.youtube.com/watch?v=bU57q5R5eTc&list=PLtfmIPhU2DkNWZsSBDKclMfLU8uCOB1kW
Mastering Hive : https://www.youtube.com/watch?v=9cZNf5Qi0YI&list=PLtfmIPhU2DkNS1pCdpxW5Zwn22mdOOtnk
Spark Interview Questions : https://www.youtube.com/watch?v=G4D4iY_hZQ0&list=PLtfmIPhU2DkNjQjL08kR3cd4kUzWqS0vg
Mastering Hadoop : https://www.youtube.com/watch?v=OSMVKV6zitM&list=PLtfmIPhU2DkNDLMLPQS28A5TF75exFt_F
Visit us :
Email: [email protected]
Facebook : https://www.facebook.com/Tech-Greens
Twitter :
Thanks for watching
Please Subscribe!!! Like, share and comment!!!!
#PySpark
This is Sixth Video with a explanation of Pyspark RDD Narrow and Wide Transformations Operations.
i have covered below Transformations in this video:
N...
#PySpark
This is Sixth Video with a explanation of Pyspark RDD Narrow and Wide Transformations Operations.
i have covered below Transformations in this video:
Narrow : Map,Filter,flatmap,filter,sample,union
Wide : Intersection,Join,Distinct.
Stay tuned for Part 6 Video of Key Value Pair RDD Transformations in PYSPARK
BIG DATA IS PROBLEM and HADOOP IS A SOLUTION
Hit the Like button if you really liked the video.
Code is uploaded in to the Google Drive Link and Github link
Python Playlist: https://www.youtube.com/playlist?list...
AI PlayList: https://www.youtube.com/playlist?list...
Join Whatsapp Group for AI : https://chat.whatsapp.com/IB6fQBEcZAd8JSuAU4h9Fe
Telegram Group : http://www.t.me/@MachineLearningIndia
Subscribe my Channel https://www.youtube.com/c/RanjanSharma
Google Drive: https://drive.google.com/drive/folders/1_4Il9iDLCmv41nwjpH9QCsvsZJf5aU-c?usp=sharing
Github : https://github.com/iamranjan/youtube-tutorials
**** Connect with me on below Channels ****
LinkedIn: https://www.linkedin.com/in/iamranjan/
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Email : [email protected]
Keep Practicing :-)
Happy Learning !!
#MachineLearning #Python #artificialIntelligence #dataScientist #DeepLearning #intelligence #BuisnessIntelligence #Ranjan #RanjanSharma
#Pyspark #SPark #ApachePyspark #apacheSpark #hadoop #bigData #MAPREDUCE #PysparkMachineLearning #installationonofPySpark #narrowVSWidetransformations #Pyspark
#PySpark
This is Sixth Video with a explanation of Pyspark RDD Narrow and Wide Transformations Operations.
i have covered below Transformations in this video:
Narrow : Map,Filter,flatmap,filter,sample,union
Wide : Intersection,Join,Distinct.
Stay tuned for Part 6 Video of Key Value Pair RDD Transformations in PYSPARK
BIG DATA IS PROBLEM and HADOOP IS A SOLUTION
Hit the Like button if you really liked the video.
Code is uploaded in to the Google Drive Link and Github link
Python Playlist: https://www.youtube.com/playlist?list...
AI PlayList: https://www.youtube.com/playlist?list...
Join Whatsapp Group for AI : https://chat.whatsapp.com/IB6fQBEcZAd8JSuAU4h9Fe
Telegram Group : http://www.t.me/@MachineLearningIndia
Subscribe my Channel https://www.youtube.com/c/RanjanSharma
Google Drive: https://drive.google.com/drive/folders/1_4Il9iDLCmv41nwjpH9QCsvsZJf5aU-c?usp=sharing
Github : https://github.com/iamranjan/youtube-tutorials
**** Connect with me on below Channels ****
LinkedIn: https://www.linkedin.com/in/iamranjan/
Medium : https://medium.com/@iamranjansharma
Instagram : https://www.instagram.com/iamranjan.sharma
Email : [email protected]
Keep Practicing :-)
Happy Learning !!
#MachineLearning #Python #artificialIntelligence #dataScientist #DeepLearning #intelligence #BuisnessIntelligence #Ranjan #RanjanSharma
#Pyspark #SPark #ApachePyspark #apacheSpark #hadoop #bigData #MAPREDUCE #PysparkMachineLearning #installationonofPySpark #narrowVSWidetransformations #Pyspark
Follow along in the SAS How To Tutorial as SAS instructor Kristin Snyder provides the when (and why) you should move data from a narrow or long table into a wid...
Follow along in the SAS How To Tutorial as SAS instructor Kristin Snyder provides the when (and why) you should move data from a narrow or long table into a wide-form table using SAS Transpose. Need to move data from a Wide table into a Narrow table? She has a video for that, too! Find the link below.
View Code and Download Data Files
https://github.com/sascommunities/sas-howto-tutorials/tree/master/transpose
Chapters
00:00 – Narrow vs. wide data
01:46 – Basic PROC TRANSPOSE step
03:56 – Add a BY statement to transpose by group
05:19 – Add and ID statement to modify the column names
06:13 – Use a VAR statement to include only the necessary variables
06:53 - Add a WHERE statement to filter the data
07:43 – Include the character variable
08:37 – Use the OUT= option to rename the output table
09:13 – Use the DROP= option to remove the _NAME_ variable from the output
10:01 – Summary
Additional Resources
◉ SAS Documentation | Base SAS Procedures Guide, PROC TRANSPOSE – https://support.sas.com/documentation/cdl/en/proc/61895/HTML/default/viewer.htm#a000063661.htm
◉ SAS Programming Community – https://communities.sas.com/t5/SAS-Programming/bd-p/programming
◉ SAS Blog | Graph Wide Data and Long Data in SAS – https://blogs.sas.com/content/iml/2019/06/03/graph-wide-data-long-data-sas-sgplot.html
◉ SAS Blog | Data Structures for Repeated Measures Analysis – https://blogs.sas.com/content/sastraining/2011/01/25/data-structure-for-repeated-measures-analysis-a-teaser/
Other Videos from Kristin
◉ Wide to Narrow Transpose in SAS – https://youtu.be/imUlNPSNwhw
◉ SAS Global Forum 2021 | Switching Things Up with the Transpose Procedure – https://www.youtube.com/watch?v=bVZtvjzWaXs
SUBSCRIBE TO THE SAS USERS YOUTUBE CHANNEL #SASUsers #LearnSAS
https://www.youtube.com/SASUsers?sub_confirmation=1
ABOUT SAS
SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change.
CONNECT WITH SAS
SAS ► https://www.sas.com/contact
SAS Customer Support ► https://support.sas.com
SAS Communities ► https://communities.sas.com
SAS Analytics Explorers ► https://explorers.sas.com
Facebook ► https://www.facebook.com/SASsoftware
Twitter ► https://www.twitter.com/SASsoftware
LinkedIn ► https://www.linkedin.com/company/sas
Blogs ► https://blogs.sas.com
RSS ► https://www.sas.com/rss
Follow along in the SAS How To Tutorial as SAS instructor Kristin Snyder provides the when (and why) you should move data from a narrow or long table into a wide-form table using SAS Transpose. Need to move data from a Wide table into a Narrow table? She has a video for that, too! Find the link below.
View Code and Download Data Files
https://github.com/sascommunities/sas-howto-tutorials/tree/master/transpose
Chapters
00:00 – Narrow vs. wide data
01:46 – Basic PROC TRANSPOSE step
03:56 – Add a BY statement to transpose by group
05:19 – Add and ID statement to modify the column names
06:13 – Use a VAR statement to include only the necessary variables
06:53 - Add a WHERE statement to filter the data
07:43 – Include the character variable
08:37 – Use the OUT= option to rename the output table
09:13 – Use the DROP= option to remove the _NAME_ variable from the output
10:01 – Summary
Additional Resources
◉ SAS Documentation | Base SAS Procedures Guide, PROC TRANSPOSE – https://support.sas.com/documentation/cdl/en/proc/61895/HTML/default/viewer.htm#a000063661.htm
◉ SAS Programming Community – https://communities.sas.com/t5/SAS-Programming/bd-p/programming
◉ SAS Blog | Graph Wide Data and Long Data in SAS – https://blogs.sas.com/content/iml/2019/06/03/graph-wide-data-long-data-sas-sgplot.html
◉ SAS Blog | Data Structures for Repeated Measures Analysis – https://blogs.sas.com/content/sastraining/2011/01/25/data-structure-for-repeated-measures-analysis-a-teaser/
Other Videos from Kristin
◉ Wide to Narrow Transpose in SAS – https://youtu.be/imUlNPSNwhw
◉ SAS Global Forum 2021 | Switching Things Up with the Transpose Procedure – https://www.youtube.com/watch?v=bVZtvjzWaXs
SUBSCRIBE TO THE SAS USERS YOUTUBE CHANNEL #SASUsers #LearnSAS
https://www.youtube.com/SASUsers?sub_confirmation=1
ABOUT SAS
SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change.
CONNECT WITH SAS
SAS ► https://www.sas.com/contact
SAS Customer Support ► https://support.sas.com
SAS Communities ► https://communities.sas.com
SAS Analytics Explorers ► https://explorers.sas.com
Facebook ► https://www.facebook.com/SASsoftware
Twitter ► https://www.twitter.com/SASsoftware
LinkedIn ► https://www.linkedin.com/company/sas
Blogs ► https://blogs.sas.com
RSS ► https://www.sas.com/rss
Understanding Narrow Vs Wide Transformations in Apache Spark under 60 Seconds | FAQ #interview
In Apache Spark, Narrow transformations are preferred whenever ...
Understanding Narrow Vs Wide Transformations in Apache Spark under 60 Seconds | FAQ #interview
In Apache Spark, Narrow transformations are preferred whenever possible because they are more efficient and can be executed in parallel without requiring data shuffling. Wide transformations are necessary for operations that require data redistribution or aggregation across partitions, but they incur higher overhead due to data shuffling. Efficient use of narrow transformations can help optimize Spark jobs for better performance and resource utilization.
Most commonly asked interview questions when you are applying for any data based roles such as data analyst, data engineer, data scientist or data manager.
Don't miss out - Subscribe to the channel for more such interesting information
Social Media Links :
LinkedIn - https://www.linkedin.com/in/bigdatabysumit/
Twitter - https://twitter.com/bigdatasumit
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#apachespark #parallelprocessing #DataWarehouse #DataLake #DataLakehouse #DataManagement #TechTrends2024 #DataAnalysis #BusinessIntelligencen #2024 #interview #interviewquestions #interviewpreparation
Understanding Narrow Vs Wide Transformations in Apache Spark under 60 Seconds | FAQ #interview
In Apache Spark, Narrow transformations are preferred whenever possible because they are more efficient and can be executed in parallel without requiring data shuffling. Wide transformations are necessary for operations that require data redistribution or aggregation across partitions, but they incur higher overhead due to data shuffling. Efficient use of narrow transformations can help optimize Spark jobs for better performance and resource utilization.
Most commonly asked interview questions when you are applying for any data based roles such as data analyst, data engineer, data scientist or data manager.
Don't miss out - Subscribe to the channel for more such interesting information
Social Media Links :
LinkedIn - https://www.linkedin.com/in/bigdatabysumit/
Twitter - https://twitter.com/bigdatasumit
Instagram - https://www.instagram.com/bigdatabysumit/
Website - https://trendytech.in/?src=youtube&sub=mockdecshort
#apachespark #parallelprocessing #DataWarehouse #DataLake #DataLakehouse #DataManagement #TechTrends2024 #DataAnalysis #BusinessIntelligencen #2024 #interview #interviewquestions #interviewpreparation
Looking for FileMaker information which will help you best plan your solution for the future? Maybe you need to know how to create a structure which will perform well down the road.
In this video, you'll find a lot of necessary information about how to structure your FileMaker tables so they both perform well and display well.
Brought to you by https://www.filemakermagazine.com
Link to this video on our web site.
https://www.filemakermagazine.com/videos/narrow-vs-wide-tables
Spark Architecture Part 5 : Spark narrow & wide transformations #spark #sparktransformations
What is scaling? Vertical vs horzontal scaling?
https://youtu.be/wg7MYTbsSC8
what is VCPU? CPU - Core - Threads
https://youtu.be/4FQlA5FJERA
Spark Architecture Part 1: Spark Vs Hadoop MR spark vs mapreduce
https://youtu.be/Ir3U0HmnfVI
Spark Architecture Part2 : master slave architecture , Single node cluster , multi note cluster
https://youtu.be/_DpT8q5auqk
Spark Architecture Part 3 : sparksession vs sparkcontext
https://youtu.be/v2roktqTixI
Spark Architecture Part 4 : Spark job to stage and stage to task spark job spark stages
https://youtu.be/Ycwhmg6vIyc
Spark Architecture Part 5 : Spark narrow & wide transformations
https://youtu.be/uNMkRjoGkKA
Spark Architecture Part 6 : pyspark word count program example
https://youtu.be/3Nf3WcWwb88
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#Narrow #Wide #Spark #Internal: In this video , We have discussed in detail about the Spark - Wide and Narrow transformation.
Please join as a member in my channel to get additional benefits like materials in BigData , Data Science, live streaming for Members and many more
Click here to subscribe : https://www.youtube.com/channel/UCZqHmLZxX0KC6PiJHETflOg
About us:
We are a technology consulting and training providers, specializes in the technology areas like : Machine Learning,AI,Spark,Big Data,Nosql, graph DB,Cassandra and Hadoop ecosystem.
Mastering Spark : https://www.youtube.com/watch?v=bU57q5R5eTc&list=PLtfmIPhU2DkNWZsSBDKclMfLU8uCOB1kW
Mastering Hive : https://www.youtube.com/watch?v=9cZNf5Qi0YI&list=PLtfmIPhU2DkNS1pCdpxW5Zwn22mdOOtnk
Spark Interview Questions : https://www.youtube.com/watch?v=G4D4iY_hZQ0&list=PLtfmIPhU2DkNjQjL08kR3cd4kUzWqS0vg
Mastering Hadoop : https://www.youtube.com/watch?v=OSMVKV6zitM&list=PLtfmIPhU2DkNDLMLPQS28A5TF75exFt_F
Visit us :
Email: [email protected]
Facebook : https://www.facebook.com/Tech-Greens
Twitter :
Thanks for watching
Please Subscribe!!! Like, share and comment!!!!
#PySpark
This is Sixth Video with a explanation of Pyspark RDD Narrow and Wide Transformations Operations.
i have covered below Transformations in this video:
Narrow : Map,Filter,flatmap,filter,sample,union
Wide : Intersection,Join,Distinct.
Stay tuned for Part 6 Video of Key Value Pair RDD Transformations in PYSPARK
BIG DATA IS PROBLEM and HADOOP IS A SOLUTION
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Follow along in the SAS How To Tutorial as SAS instructor Kristin Snyder provides the when (and why) you should move data from a narrow or long table into a wide-form table using SAS Transpose. Need to move data from a Wide table into a Narrow table? She has a video for that, too! Find the link below.
View Code and Download Data Files
https://github.com/sascommunities/sas-howto-tutorials/tree/master/transpose
Chapters
00:00 – Narrow vs. wide data
01:46 – Basic PROC TRANSPOSE step
03:56 – Add a BY statement to transpose by group
05:19 – Add and ID statement to modify the column names
06:13 – Use a VAR statement to include only the necessary variables
06:53 - Add a WHERE statement to filter the data
07:43 – Include the character variable
08:37 – Use the OUT= option to rename the output table
09:13 – Use the DROP= option to remove the _NAME_ variable from the output
10:01 – Summary
Additional Resources
◉ SAS Documentation | Base SAS Procedures Guide, PROC TRANSPOSE – https://support.sas.com/documentation/cdl/en/proc/61895/HTML/default/viewer.htm#a000063661.htm
◉ SAS Programming Community – https://communities.sas.com/t5/SAS-Programming/bd-p/programming
◉ SAS Blog | Graph Wide Data and Long Data in SAS – https://blogs.sas.com/content/iml/2019/06/03/graph-wide-data-long-data-sas-sgplot.html
◉ SAS Blog | Data Structures for Repeated Measures Analysis – https://blogs.sas.com/content/sastraining/2011/01/25/data-structure-for-repeated-measures-analysis-a-teaser/
Other Videos from Kristin
◉ Wide to Narrow Transpose in SAS – https://youtu.be/imUlNPSNwhw
◉ SAS Global Forum 2021 | Switching Things Up with the Transpose Procedure – https://www.youtube.com/watch?v=bVZtvjzWaXs
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Understanding Narrow Vs Wide Transformations in Apache Spark under 60 Seconds | FAQ #interview
In Apache Spark, Narrow transformations are preferred whenever possible because they are more efficient and can be executed in parallel without requiring data shuffling. Wide transformations are necessary for operations that require data redistribution or aggregation across partitions, but they incur higher overhead due to data shuffling. Efficient use of narrow transformations can help optimize Spark jobs for better performance and resource utilization.
Most commonly asked interview questions when you are applying for any data based roles such as data analyst, data engineer, data scientist or data manager.
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Wide and narrow (sometimes un-stacked and stacked) are terms used to describe two different presentations for tabular data.
Wide
Wide, or unstacked data is presented with each different data variable in a separate column.
Narrow
Narrow, or stacked data is presented with one column containing all the values and another column listing the context of the value
This is often easier to implement, addition of a new field does not require any changes to the structure of the table, however it can be harder for people to understand.
Implementations
Many statistical and data processing systems have functions to convert between these two presentations, for instance the R programming language has several packages such as the reshape package