GK Codelabs
GK Codelabs
  • Видео 124
  • Просмотров 909 372
AWS 5 Ques Quiz | Data Services
In this side-splitting video, we unravel the mysteries of data processing with the charm of a stand-up comedy routine. From S3 to Redshift, we'll guide you through the labyrinth of AWS offerings
But wait, there's more! We've sprinkled in five multiple-choice questions (MCQs) to test your knowledge and tickle your funny bone. Think you're an AWS wiz? Prove it with a dash of humor!
So, grab your popcorn and get ready to laugh, learn, and level up your Data Engineering game with our uproarious AWS adventure. Don't miss out-hit that play button now
Просмотров: 80

Видео

Test Your AWS Skills with This Fun Quiz 🤓 | Data Storage & Migrations on AWS
Просмотров 1188 месяцев назад
Ready to put your AWS data storage and migration knowledge to the test? Look no further! In this quiz, we've compiled a series of multiple-choice questions designed to challenge even the most seasoned AWS professionals. From S3 buckets to, EBS to AWS DataSync, this quiz covers a wide range of topics related to data storage and migrations in Amazon Web Services. Whether you're preparing for cert...
Large Data Migration in AWS Cloud: Challenges & Solutions
Просмотров 1,2 тыс.9 месяцев назад
In this comprehensive guide, learn the ins and outs of handling large data migration in the AWS Cloud. From understanding the challenges to implementing effective solutions, this video covers it all. Discover how AWS DataSync, AWS S3 Gateway, and the AWS Snow family can revolutionize your data migration strategy. Whether you're a beginner or an experienced AWS user, this video offers valuable i...
Data Security Strategies in Data Pipelines | Apache Spark | Best Practices
Просмотров 4349 месяцев назад
In today's data-driven world, protecting Personally Identifiable Information (PII) is paramount. Join me as I delve into the crucial topic of PII data security within Apache Spark data pipelines using Scala. Discover the essential strategies and best practices to safeguard sensitive information, ensuring compliance with privacy regulations and maintaining trust with users. From encryption techn...
Automate EMR Creation & Termination for Spark | Ready to use setup
Просмотров 1979 месяцев назад
This course provides an Airflow workflow, which does all the precomputes and native code executions on itself and then, only when it needs the Spark Job to be executed, it can request to spin up an EMR cluster, automatically submit your Spark job there, processes your data, and once the work is done, it takes care of automatically terminating that as well..! Get the code at: courses.gkcodelabs....
Get Personalized Guidance for creating your video content for YouTube or Instagram!
Просмотров 77Год назад
👋 Hey Content Creators and Aspiring Influencers! Are you ready to dive into the world of video content creation but feeling a bit lost on where to start? Look no further! Our GKCodelabs team is here to guide you every step of the way. 🚀 About the Video: In this special announcement, we're thrilled to extend an invitation to all budding creators who want to kickstart their RUclips or Instagram j...
🚀 Unlock Success: 8 Essential Tips Every CS/IT B.Tech Graduate Must Know! 🎓
Просмотров 118Год назад
Are you a recent CS/IT B.Tech graduate stepping into the dynamic world of technology? Congratulations on your achievement! 🌟 In this must-watch video, we've got you covered with 8 crucial insights that are vital for your journey ahead. 📌 Whether you're about to graduate or have recently stepped into the professional world, these insights are invaluable for shaping a successful career in the CS/...
What to do? When Manager Asks to "Something Out Of the Box" | Best IT Career Tips 🔥
Просмотров 155Год назад
Hi All in this Video, I have explained some very important IT Career tips, when you IT Manager asks to do something extra, Apart from your regular JOB. We have very important points that help you boost your IT career, when it comes to tho IT Appraisals.
Career Tip for BTech CS/IT Students | Job Market Alert
Просмотров 75Год назад
Hi All , Is video me maine bahut important career tip di hai B.Tech 3rd and 4th Year walo ke liye, zarur dekhen.
2024 me Apache Spark Roadmap? Data Engineering career ke liye must.
Просмотров 563Год назад
Hi All, Is video me maine 2024 me Apache spark seekhne ka sahi tarika kya hai uska Roadmap dia hai. Agar appko Data Enginerring, ya Big Data Field me jana hai, to ye video aapke liye hai. #dataengineers #apachespark
All about AWS S3 | Versioning | Replication | Lifecycle
Просмотров 373Год назад
Hi All, In this video I have explained AWS S3 Details of S3 Versioning, Replication, Lifecycle propagation, and much more, these concepts are very crucial in terms of AWS interviews and AWS hands-on.
AWS IAM Policies in 10 Mins with Hands-on Demo | AWS Series | Session-3
Просмотров 317Год назад
Hi All, Sharing another session on AWS Crash course series, this session will be on IAM policies, and allowing or restricting access using the IAM policies along with theory and hands-on. Hope you like this AWS Free Cloud series. Previous Session: ruclips.net/video/AbqaTs1qFIc/видео.html Big Data - Spark E2E Pipeline Courses - PySpark and SCALA: courses.gkcodelabs.com/shop/
AWS User, Groups, Roles, Policies in 15 mins | AWS Complete Handson Series.
Просмотров 144Год назад
Hi All, In this series, we are providing a complete AWS training with theory and hands-on, this is a session on hands-on session on AWS user groups roles and policies.
AWS Architecture & Billing | Session 2 | AWS Complete Hands-On Series
Просмотров 196Год назад
Hi All, Sharing another session on AWS Crash course series, this session will be on basic AWS Billing setup on AWS Free Tier account, and AWS Architecture. Hope you like this AWS Free Cloud series.
Free Cloud Series Announcement | Poll results | AWS Vs Azure Vs GCP
Просмотров 339Год назад
Free Cloud Series Announcement | Poll results | AWS Vs Azure Vs GCP
5 points to add to checklist before going for a Big-Data Interview
Просмотров 2,3 тыс.2 года назад
5 points to add to checklist before going for a Big-Data Interview
NULL Values in Spark ☹️| A Common mistake ❌ | Spark Interview Question
Просмотров 2,9 тыс.3 года назад
NULL Values in Spark ☹️| A Common mistake ❌ | Spark Interview Question
Important Cloud Terminologies | Cloud Interview Question
Просмотров 7633 года назад
Important Cloud Terminologies | Cloud Interview Question
Insert-Overwrite in Spark | 7 Important Scenarios Explained
Просмотров 4,5 тыс.3 года назад
Insert-Overwrite in Spark | 7 Important Scenarios Explained
Using Kafka for REST API Inputs | Kafka REST | Kafka with React Apps
Просмотров 13 тыс.3 года назад
Using Kafka for REST API Inputs | Kafka REST | Kafka with React Apps
Using Currying in Spark | Use case explained
Просмотров 1,2 тыс.3 года назад
Using Currying in Spark | Use case explained
When to use Higher Order Function in SPARK? | Scala & Scala
Просмотров 2,6 тыс.3 года назад
When to use Higher Order Function in SPARK? | Scala & Scala
Why to choose Cloud Storage over HDFS??
Просмотров 2,5 тыс.3 года назад
Why to choose Cloud Storage over HDFS??
Describe and Summary in Apache spark
Просмотров 8863 года назад
Describe and Summary in Apache spark
Big Data Insights | Should you move to Big Data? | Experienced Discussion
Просмотров 2 тыс.3 года назад
Big Data Insights | Should you move to Big Data? | Experienced Discussion
Copy Row Data | Spark Interview question
Просмотров 1,6 тыс.3 года назад
Copy Row Data | Spark Interview question
coalesce vs repartition vs partitionBy in spark | Interview question Explained
Просмотров 6 тыс.3 года назад
coalesce vs repartition vs partitionBy in spark | Interview question Explained
PIVOT in Spark DataFrames | When to use PIVOT? | USE CASE!
Просмотров 1,8 тыс.3 года назад
PIVOT in Spark DataFrames | When to use PIVOT? | USE CASE!
Read Spark DataFrame from different paths | Spark Interview Question
Просмотров 2,6 тыс.3 года назад
Read Spark DataFrame from different paths | Spark Interview Question
Handling nested Json in Apache Spark | Big Data | Interview Questions | Part-1 | Json Traversing
Просмотров 4,1 тыс.3 года назад
Handling nested Json in Apache Spark | Big Data | Interview Questions | Part-1 | Json Traversing

Комментарии

  • @sha2460
    @sha2460 8 дней назад

    Please guys bring up tutorials for gcp data engineering since there are lots videos availavle for aws n azure.

  • @ramgeetha5794
    @ramgeetha5794 12 дней назад

    nice video. Could you please share the scripts?

  • @Data_with_DG
    @Data_with_DG 18 дней назад

    Very informative video :) Keep going

  • @poojapatil05
    @poojapatil05 20 дней назад

    thanks for this vdo really needed thnx

  • @shubhamshelke7505
    @shubhamshelke7505 4 месяца назад

    sir can we code spark in eclipse

  • @abdullahsiddique7787
    @abdullahsiddique7787 5 месяцев назад

    Hi Arpit is Spark having good career scope in AI era

  • @chinnalearns9565
    @chinnalearns9565 6 месяцев назад

    Code plz

  • @NewThingsAk
    @NewThingsAk 6 месяцев назад

    can u please send me github code

  • @naveenbhandari5097
    @naveenbhandari5097 8 месяцев назад

    really helpful video. it helped me a alot

  • @BishalKarki-pe8hs
    @BishalKarki-pe8hs 8 месяцев назад

    peovide the code sir

  • @BishalKarki-pe8hs
    @BishalKarki-pe8hs 8 месяцев назад

    please can you provide the code for this

  • @ravishankarrallabhandi531
    @ravishankarrallabhandi531 8 месяцев назад

    How can we handle the case where source records are closed / deleted ?

  • @chandanpatra1053
    @chandanpatra1053 8 месяцев назад

    what about lambda & kappa architecture . Can't we say this in the interview?

  • @1hourbule
    @1hourbule 8 месяцев назад

    A person on RUclips who actually knows Spark

  • @dev4128
    @dev4128 9 месяцев назад

    Thankssss pelase make videos on ur daily work

  • @pravinmahindrakar6144
    @pravinmahindrakar6144 9 месяцев назад

    Thanks a lot, I think we can use row_number window function to get updated records by using partitions by emp_id and order by date desc. Finally can filter for row_number=1

  • @soulamazing1228
    @soulamazing1228 9 месяцев назад

    The point of using Apache Spark is to handle large datasets so why are you converting the values to pandas... Pointless video in real world scenarios.

    • @GKCodelabs
      @GKCodelabs 9 месяцев назад

      Conversion to Pandas is only done on final, aggregated and normalized data where volume is brought down only for what is required for "Visualization" Dont get confused with Data "processing" and "Visualization" You never run huge Spark jobs when a visual report is requested on the fly, that approach becomes "Pointless" Reports are pulled from aggregated data. And Matplotib is one of the approach, there are many other tools and approaches. Thanks for bringing this up btw, this will help others as well, in case someone has similar doubt.

  • @mallinathbirajdar6610
    @mallinathbirajdar6610 9 месяцев назад

    हे सर्व फुलपाखरांचे फोटो आणि व्हिडिओ कुठे घेतले आहेत.? म्हणजे गावाकडे की पुण्यामध्ये.? आणि पुण्यात घेतले असतील तर नेमका location काय आहे.?

  • @ravikumart6561
    @ravikumart6561 9 месяцев назад

    Could you please share methods or some pseudo code to implement this concept .. Arpit !!!!

  • @rkdatalabs404
    @rkdatalabs404 9 месяцев назад

    Very useful information. Clearly explained.Thank you arpit❤

  • @mohitjain2196
    @mohitjain2196 10 месяцев назад

    best course ❤🔥

  • @NextGen_Tech_Hindi
    @NextGen_Tech_Hindi 10 месяцев назад

    Thanks man your are amazing 😍❤❤❤

  • @sonurohini6764
    @sonurohini6764 10 месяцев назад

    Without any experience in data engineering can we join as a DE from different non IT background. If yes how supportive is the team.

  • @shashireddy3573
    @shashireddy3573 10 месяцев назад

    Hi Arpit, do you have any real-time Spark-scale projects in a cloud environment? I searched your playlist but couldn't find any relevant videos.

  • @parashuramuluNerandla
    @parashuramuluNerandla 11 месяцев назад

    Hi can you provide the data set we will try from our end

  • @MerleNader
    @MerleNader Год назад

    Promo-SM 😔

  • @satyendrakumar4349
    @satyendrakumar4349 Год назад

    बहुत अच्छी जानकारी दी ऐसी वीडियो रेगुलर बनाते रहो

  • @ashutoshojha4244
    @ashutoshojha4244 Год назад

    Hey, Arpit! Do u suggest going with databricks after learning pyspark, even though i want to make a career as an AWS data engineer, ..or would it be more apt for me to just go with aws glue instead?

    • @GKCodelabs
      @GKCodelabs Год назад

      No doubts in going with AWS.. But dont just stick to AWS Glue, its just one convinient way to spark loads. Explore all Data Analytics services.. PS: AWS Data Analytics is now the new term for Data Engineering services. Happy Learning 👍🏻

  • @akshaygidwani4360
    @akshaygidwani4360 Год назад

    Hi Arpit! I have been practicing PySpark for a while now, studied and implemented most of the concepts you mentioned in the video as individual concepts. I am looking for projects/use cases where I can combine all the concepts building a meaningful end result. Please could you suggest some? Thanks!

    • @ashutoshojha4244
      @ashutoshojha4244 Год назад

      Hi , where did u learn pyspark from? I am thinking of buying the udemmy pyspark course by jose portila. Can you share your resources please?

    • @charangowdamn8661
      @charangowdamn8661 Год назад

      Which course did you refer for pyspark

  • @piashreetalukdar4258
    @piashreetalukdar4258 Год назад

    Great Video. Nicely explained. Thank you 😊

  • @NikhileshwarYanamanagandla
    @NikhileshwarYanamanagandla Год назад

    When you do repartition and then partitionby already data is partitioned now based on partitionby column they why no of part file depend on repartition() again?

  • @ravulapallivenkatagurnadha9605

    Nice videos

  • @kampfer6375
    @kampfer6375 Год назад

    Nice explanation

  • @astropanda1623
    @astropanda1623 Год назад

    Very good explanation

  • @முரளிதரன்
    @முரளிதரன் Год назад

    2 months big data which company is hiring.. Not suitable for freshers and also for some experienced. Join u will know..😂😂

  • @anurodhpatil4776
    @anurodhpatil4776 Год назад

    Wooo great sir.....step by step ❤

  • @vinitpandey4424
    @vinitpandey4424 Год назад

    Its very basic. I would suggest to keep in python code rather than sql.

  • @JjCSJ
    @JjCSJ Год назад

    beautiful explanation

  • @FormulaMedia-gl9pi
    @FormulaMedia-gl9pi Год назад

    i am getting ssh connection timeout in gitbash. What should be the reason behind this ?

  • @absarusain5196
    @absarusain5196 Год назад

    GCP

  • @avinash7003
    @avinash7003 Год назад

    Is spark + Scala roles does exit?

  • @yashgupta6684
    @yashgupta6684 Год назад

    File Sink not discussed I was looking for file sink only

  • @shashireddy3573
    @shashireddy3573 Год назад

    Hi I need big data real time projects for adding in my resume.

  • @subhadipsamanta35
    @subhadipsamanta35 Год назад

    So life saving 🙌🏻 Thankyou

  • @Sagar0155
    @Sagar0155 Год назад

    Playlist is really helpful. Explained from very basic to high level including important minor services

  • @2002asimanand
    @2002asimanand Год назад

    Good initiative.. Waiting for gcp...

  • @MalayaleeYoutuber
    @MalayaleeYoutuber Год назад

    Olap cubes and data warehouse are Different(in diagram it is marked together ). Data warehouse warehouse persist data , in Bigdata it will be in data lake gold layer.

  • @srikanthreddy4516
    @srikanthreddy4516 Год назад

    AWS

  • @prabhatgupta6415
    @prabhatgupta6415 Год назад

    azure data enginner is in huge demand as compared to aWS

  • @my_j.a.r.v.i.s.
    @my_j.a.r.v.i.s. Год назад

    Sirrrrr.... you are back. I started my data engineering journey from here. I learnt basics of GCP but now in my job AWS will be used. I am happy you chose AWS.