System Design Interview Questions For Data Engineers

This is a standard question for most software jobs. Specifically for a data engineering position, you will be asked about building data pipelines where you will. Grokking modern system design for software engineers & managers. Design a global file storage & sharing service like dropbox, google drive, or google photos. Clarify the scope of the question ↑. “okay, i’m going to restate the question first, to make sure that i understand what you’re asking. The four v's of big data are: The first v is velocity, which specifies how big data is being generated over time.

Grokking modern system design for software engineers & managers. Design a global file storage & sharing service like dropbox, google drive, or google photos. Clarify the scope of the question ↑. “okay, i’m going to restate the question first, to make sure that i understand what you’re asking. The four v's of big data are: The first v is velocity, which specifies how big data is being generated over time. It is used to analyze the data. The second v is variety which. the three most common metrics used to measure a system's performance are availability, latency and throughput. These metrics help system designers.

Specifically for a data engineering position, you will be asked about building data pipelines where you will. Grokking modern system design for software engineers & managers. Design a global file storage & sharing service like dropbox, google drive, or google photos. Clarify the scope of the question ↑. “okay, i’m going to restate the question first, to make sure that i understand what you’re asking. The four v's of big data are: The first v is velocity, which specifies how big data is being generated over time. It is used to analyze the data. The second v is variety which.

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Spotify Data Engineer - System Design Interview



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Resources
- Spotify Data Engineer Interview Guide: prepfully.com/interview-guides/spotify-data-engineer

About video
Watch Udit from Prepfully deep-dive into the Spotify Data Engineer system design interview. By the end of this video, you’ll know what to expect, what the interviewers are looking for, and tips & tricks to ace the interview!

0:00 - 0:23 - Introduction
0:23 - 1:09 - Interview Core
1:09 - 1:50 - What is the interviewer looking for?
1:50 - 3:07 - Tips
3:07 - 4:06 - Outro

About Prepfully
Prepfully is the go-to place for your interview prep. Interview guides. Question banks. Real-world practice interviews. Expert advice. Resume Review. Free practice with other candidates.

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Preparing For A Data Engineering Interview: How To Design A Data Warehouse For.A Food Delivery App



Data warehouses (in all their forms and iterations) have become the backbone of almost every organizations analytics, data science and BI departments.

Over the years they have evolved and taken on new shapes as modern infrastructure has been developed to better manage analytical queries and workloads.

In our last few articles and videos we discussed why data warehouses are used as well as a high level for what they are used for.

Now we wanted to provide more depth to a data warehouse.

Beyond just talking about the high level reasons why you might want to incorporate a data warehouse into your infrastructure. We wanted to discuss the key design components.

A common interview question for data engineers and BI developers is to develop a data warehouse. Personally, I have been asked to design a parking lot data warehouse, a college courses data warehouse and several others for interviews.

I suggest that most people watch a few videos on the topic of data modeling as well as read up on Kimball’s data warehouse design book. After that, then you should think about a few workflows you might enjoy and practice modeling them.

For example, let’s walk through designing a data warehouse for a food delivery app.
How would you approach this design?

Generally, a good way to start is to list out the entities you would consider being part of a food delivery app.

For example here is a list:
* Menu Items(And possibly add-ons)
* Restaurants
* Drop Off Locations 
* Cars
* Persons(Customers and drivers, since a driver in the future might be a customer and visa versa)
* Orders

This would be a good high level set of entities to start with. Especially in an interview. You don’t want to focus on every possible issue and detail. 

I would list these out and prod the interviewer to see if this is all the entities they were concerned with. Often times interviewers have a specific set of questions they want to ask. So if you don’t include all the entities, they may ask about different parts of the workflow you might have forgotten.
From here, the dimensions it may be obvious. You have menu items, restaurants, drop off locations, cars and persons.

These are all dimensional items because they represent entities that don’t change often, don’t contain measurable data and can be used to pivot and break down your future reports.

If you want to learn more, then watch the rest of the video! Or consider watching some of our other content.

What is a data warehouse and why build it?
theseattledataguy.com/what-is-a-data-warehouse-and-why-we-build-them-a-video/

Why invest in a data warehouse?
theseattledataguy.com/invest-data-warehouse/

Uber Data Engineer Interview: Design a Ride Sharing Schema



Today I'm interviewing Jitesh again on a data engineering and data modeling question around designing a schema for a ride sharing company like Uber or Lyft.

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Video Breakdown:
0:30 - Clarifying questions about the backend and functionality
2:28 - Initial design and solution for latency
11:18 - How would you design for analytics
19:15 - What does the schema look like all together?
22:34 - What's the benefit of a partition?

More from Jay:
Read my personal blog: datastream.substack.com/
Follow me on LinkedIn: linkedin.com/in/jay-feng-ab66b049/
Find me on Twitter: twitter.com/datasciencejay

Facebook System Design Interview: Design an Analytics Platform (Metrics & Logging)



Don't leave your system design interview to chance. Sign up for Exponent's system design interview course today: bit.ly/3K0lTtS

Watch our mock Facebook system design interview. Neamah asks Hozefa (Facebook, Wealthfront EM) a system design question on building a metrics and logging service.

Watch more videos here:
- Amazon SDE answers binary tree question: youtu.be/thkuu_FWFD8
- Google SWE answers algorithms interview question: youtu.be/NRRyk0XqkkA
- Google TPM answers Tiktok system design interview question: youtu.be/Z-0g_aJL5Fw
- Microsoft SWE answers algorithms interview question: youtu.be/oD1m1iREKB4

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ABOUT US:
Did you enjoy this interview question and answer? Want to land your dream career? Exponent is an online community, course, and coaching platform to help you ace your upcoming interview. Exponent has helped people land their dream careers at companies like Google, Microsoft, Amazon, and high-growth startups. Exponent is currently licensed by Stanford, Yale, UW, and others.

Our courses include interview lessons, questions, and complete answers with video walkthroughs. Get access to hours of real interview videos, where we analyze what went right or wrong, as well as our 1000+ community of expert coaches and industry professionals, to help you get your dream job and more!

#systemdesign #facebook #software #engineeringmanagement #tech #entrepreneurship #exponent #tpm

Chapters -
00:00:00 - Introduction
00:00:33 - Clarifying questions
00:01:52 - Requirements
00:07:34 - API
00:10:12 - Design
00:21:02 - Interview analysis

Top 10+ Data Engineer Interview Questions and Answers



In today’s video, I will talk about the data engineering interview and go over the different types of questions that might get asked during the interview. Plus, we’re having a giveaway!

If you need more interview questions, we have compiled a list of the Top 100 Data Engineer Interview Questions for 2022:
interviewquery.com/p/data-engineer-interview-questions

👉 Subscribe to my data science channel: bit.ly/2xYkyUM
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❓ Check out our data science interview course: interviewquery.com/courses/data-science-course
🔑 Get coaching for your next interview: interviewquery.com/coaching
🐦 Follow us on Twitter: twitter.com/interview_query

00:00 - Intro
00:24 - Behavioral Interview Questions
01:15 - The STAR method
02:01 - Basic Data Engineering Questions
02:49 - SQL Interview Questions
04:48 - Data Structures and Algorithms Questions
07:15 - Database Design and Data Modeling Questions
09:01 - Data Pipeline & ETL Questions
10:34 - Data Engineering Case Study
12:22 - Quick Tips

If you want to practice for your next interview, here is our Mock Interview Playlist: youtube.com/playlist?list=PLXXms4piUg2gZXEEQRxXzkbPxVqLKsxaT

More from Jay:
Read my personal blog: datastream.substack.com/
Follow me on Linkedin: linkedin.com/in/jay-feng-ab66b049/
Find me on Twitter: twitter.com/datasciencejay

#DataEngineer #DataEngineerInterview #Giveaway #InterviewPreparation

Amazon System Design Interview: Design Parking Garage



Don't leave your system design interview to chance. Make sure you're interview-ready with Exponent's system design interview prep course. tryexponent.com/courses/system-design-interview

Don't leave your system design interview to chance. Sign up for Exponent's system design interview course today: bit.ly/3NDsBIA

Watch our mock Amazon system design interview. Neamah asks Timothy, Amazon/Airbnb software engineer, a question on how to design a reservation and payment system for a parking garage.

Watch more videos here:
- Amazon SDE answers binary tree question: youtu.be/thkuu_FWFD8
- Google SWE answers algorithms interview question: youtu.be/NRRyk0XqkkA
- Google TPM answers Tiktok system design interview question: youtu.be/Z-0g_aJL5Fw
- Microsoft SWE answers algorithms interview question: youtu.be/oD1m1iREKB4

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💙 Like us on Facebook for special discounts: bit.ly/exponentfb
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ABOUT US:
Did you enjoy this interview question and answer? Want to land your dream career? Exponent is an online community, course, and coaching platform to help you ace your upcoming interview. Exponent has helped people land their dream careers at companies like Google, Microsoft, Amazon, and high-growth startups. Exponent is currently licensed by Stanford, Yale, UW, and others.

Our courses include interview lessons, questions, and complete answers with video walkthroughs. Get access to hours of real interview videos, where we analyze what went right or wrong, as well as our 1000+ community of expert coaches and industry professionals, to help you get your dream job and more!

#systemdesign #amazon #airbnb #swe #tech #entrepreneurship #parking #exponent #tpm

Chapters -
00:00:00 Introduction
00:00:37 Question
00:00:53 Clarifying questions
00:02:55 Answer
00:03:11 APIs
00:09:34 Scale
00:10:55 Data types
00:19:56 Design
00:23:27 Trade-offs
00:26:15 Interview analysis
00:28:33 Tips

How To Prepare For A Data Engineering Interview



Interviewing for any technical position generally requires preparing, studying, and long-all day interviews. As a data engineer, what we need to study is not always clear. Some positions require Hadoop, others SQL, some roles require understanding statistics while still others require heavy amounts of system design.

I wanted to create a video to cover some key points for data engineer interviews.

This video will cover points such as data warehouse design, coding and behavioral questions. I wanted to give the viewer a good high level view of what you should prepare for.

If you enjoy this video on data engineering interviews and want more details, then please comment with your requests.

You can find the checklist here:
docs.google.com/spreadsheets/d/1GOO4s1NcxCR8a44F0XnsErz5rYDxNbHAHznu4pJMRkw/edit#gid=0

Interview query Article:
interviewquery.com/blog-data-science-interview-report/

Database Design Tips | Choosing the Best Database in a System Design Interview



One of the most important things in a System Design interview is to choose the right Database for the right use case. Here is a cheat sheet that can help you choose the right DB for most of the use cases that you can encounter.

Summary of the video: codekarle.com/system-design/Database-system-design.html

Author: linkedin.com/in/sandeep1904/

We do over some important topics like which database you should use, in what scenarios, in a System Design Interview. Some comparisons between SQL and NoSQL databases, how to use multiple databases together in a real-world system, etc.

Chapters

0:00 - Intro
1:05 - Things that matter
1:45 - Caching
3:20 - File storage
4:22 - CDN
5:11 - Text search engine
6:30 - Fuzzy text search
8:25 - Timeseries databases
10:11 - Data warehouse / Big Data
11:17 - SQL vs NoSQL
11:24 - Relational DB
14:28 - NoSQL - Document DB
16:28 - NoSQL - Columnar DB
18:23 - If none of these are required
19:03 - Combination of DBs - Amazon case study.

#codekarle #databases #systemdesign #system #design #interview #amazon #faang

Spotify Data Engineer - System Design Interview



Watch the full guide to Spotify Data Engineer - System Design Interview here - youtu.be/ukWwlnBizaM

#spotify #dataengineering #systemdesign #interviewtips

System design basics: Real-time data processing



#realtimedataprocessing #streamprocessing #dataprocessing
#systemdesigntips #systemdesign #computerscience #learnsystemdesign #interviewpreperation #amazoninterview #googleinterview #uberinterview #micrsoftinterview
In this video learn how to process messages or data in real-time.

Amazon Data Engineer Mock Interview + Tips and Feedback!!



Today I interview Scott who works as a machine learning engineer and data engineer at Nextdoor.

Want to be featured in the next mock interview video? Apply here: airtable.com/shrdQrwKK7xxGLm6l

👉 Subscribe to my data science channel: bit.ly/2xYkyUM
🔥 Get 10% off your next data science interview prep: interviewquery.com/?ref=datasciencejay

❓ Check out our data science interview course: interviewquery.com/courses/data-science-course
🔑 Get professional coaching from Scott here: interviewquery.com/coaching
🐦 Follow us on Twitter: twitter.com/interview_query

Scott has worked at big companies like Amazon and small startups with under 10 people. He's done it all from backend engineering to scaling data systems to now working as a machine learning engineer at Nextdoor.

We went over a sample question from Amazon at the end go over general feedback on how he feels about interviews and any tricks he uses. For the rest of the video you can find it on Interview Query.

More from Jay:
Follow me on Twitter: twitter.com/datasciencejay
Follow me on LinkedIn: linkedin.com/in/jay-feng-ab66b049/

Related Links:
Amazon Machine Learning Interview Questions: interviewquery.com/blog-amazon-machine-learning-interview-questions-solutions/
Amazon Data Engineer Profile: interviewquery.com/interview-experiences/amazon/data-engineer#
Amazon Business Intelligence Interview: interviewquery.com/blog-the-amazon-business-intelligence-engineer-interview/
Data Engineer SQL Questions: interviewquery.com/p/data-engineer-sql-questions
How to Prepare for a Data Engineering Interview: interviewquery.com/p/how-to-prepare-data-engineer-interview

Systems design interview with a Google engineer: Distributed databases



Book a mock interview or coaching session with a Google engineer as early as tomorrow on interviewing.io! Sign up here: interviewing.io/signup?utm_source=youtube.com&utm_medium=referral&utm_campaign=video_link

Check out the feedback by the Google interviewer and the full transcript on interviewing.io/recordings/Systems-Design-Google-15/

Note: Drawing starts at 13:46 and is a reconstruction of what happened during the interview.

Disclaimer: All interviews are shared with explicit permission from the interviewer and the interviewee, and all interviews are anonymous. interviewing.io has the sole right to distribute this content.

10 System Design Interview Questions You're Likely to be Asked (and How to Answer Them)



These are the ten most commonly asked system design interview questions you're likely to get asked in a product manager interview or software engineer interview.

Learn quick tips on how to answer these system design interview questions and what to keep in mind as you go into your interview.

Stephen Cognetta (former Google PM and Exponent co-founder) breaks down the most common system design interview questions.

Don't leave your tech career to chance. Make sure you're interview-ready with Exponent's interview courses on product management, software engineering, data science, and more. Start free. bit.ly/36CGPbO

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ABOUT US:
Want to land your dream career in tech? Exponent is an online community, course, and coaching platform to help you ace your upcoming interview.

Exponent has helped people land their dream careers at companies like Google, Microsoft, Amazon, and high-growth startups. Exponent is currently licensed by Stanford, Yale, UW, and others.

Our courses include interview lessons, questions, and complete answers with video walkthroughs. Get access to hours of real interview videos, where we analyze what went right or wrong, as well as our 1000+ community of expert coaches and industry professionals, to help you get your dream job and more!

Chapters -
00:00 - Introduction
00:28 - Design Twitter and Build tiny URL
00:46 - Design Instagram, Dropbox, and YouTube
01:11 - Design WhatsApp and Uber
01:24 - Design Reddit
01:37 - Design web crawler and Airbnb search
02:03 - Database of system design interview questions - tryexponent.com/questions

Engineering Manager System Design Interview (Wealthfront EM): Design YouTube



Don't leave your system design interview to chance. Sign up for Exponent's system design interview course today: bit.ly/3qMqMyX

Watch our mock engineering management system design interview. Kevin asks Hozefa, Wealthfront Engineering Manager, a question on how to design YouTube.

Watch more videos here:
- Amazon SDE answers binary tree question: youtu.be/thkuu_FWFD8
- Google SWE answers algorithms interview question: youtu.be/NRRyk0XqkkA
- Google TPM answers Tiktok system design interview question: youtu.be/Z-0g_aJL5Fw
- Microsoft SWE answers algorithms interview question: youtu.be/oD1m1iREKB4

👉 Subscribe to our channel: bit.ly/exponentyt
🕊️ Follow us on Twitter: bit.ly/exptweet
💙 Like us on Facebook for special discounts: bit.ly/exponentfb
📷 Check us out on Instagram: bit.ly/exponentig

ABOUT US:
Did you enjoy this interview question and answer? Want to land your dream career? Exponent is an online community, course, and coaching platform to help you ace your upcoming interview. Exponent has helped people land their dream careers at companies like Google, Microsoft, Amazon, and high-growth startups. Exponent is currently licensed by Stanford, Yale, UW, and others.

Our courses include interview lessons, questions, and complete answers with video walkthroughs. Get access to hours of real interview videos, where we analyze what went right or wrong, as well as our 1000+ community of expert coaches and industry professionals, to help you get your dream job and more!

#systemdesign #wealthfront #youtube #engineeringmanagement #tech #entrepreneurship #exponent #tpm

Chapters -
00:00:00 - Introduction
00:00:36 - Question
00:00:55 - Clarifying questions
00:04:17 - Design
00:09:03 - Scale
00:14:56 - Data types
00:20:57 - Interview analysis

Interview: Amazon Data Engineer (Majoring in Computer Science to working as Data Engineer)



Data is the new currency for the future. Meet Rahul Narakula, who works as a Data Engineer at Amazon handling data to analyze what we know today and to forecast the future based on the insights. In this video, he shares what data engineering is, how he got into the role, his day-to-day, and his secret resources on cracking the data interview. Below are the questions I asked.
-
00:14 tell me about yourself
02:42 what is data engineering?
04:51 why data engineer not SDE after studying CS?
06:37 process of getting into Amazon
09:42 what do you do as a data engineer?
11:19 did you have any learning curves?
12:18 what do you like most/least about your role?
13:20 Amazon culture and work life balance
14:25 advice for those who want to join Amazon as a data engineer
-
Free resources for Data Engineering Interview Preparations:
Data Modelling: learndatamodeling.com/blog/category/data-modeling/
Product Sense: stellarpeers.com
Interview Structure Guide: prepfully.com/interview-guides
System Design: github.com/donnemartin/system-design-primer
System Design: educative.io (courses Groking the system design) (paid)
-
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😊 About me😊
My name is Yong and I am here to help you with your Career success. In this channel, I usually talk about Career Development (FAANG, interview tips, jobsearch hacks, networking tips and more), interview people working at awesome companies and about getting an MBA (and more). I now work at Amazon as a Sr. Product Marketing Manager in the retail business. I am originally from Seoul, South Korea and moved to the US to get my MBA at UNC Kenan-Flagler Business School. When I got that job offer from Amazon, I promised myself that I would help people for their career success and here I am.

📞 Contact me 📞
The best way to contact me is through LinkedIn: linkedin.com/in/ytsohn. However, if you have a specific question or a content request, please reach out to me via email that can be found in the about section of this channel.

📖 Disclaimer 📖
The opinions expressed in this video are those of the individuals. They do not purport
to reflect the opinions or views of any organization or its members.

What is Data Pipeline | How to design Data Pipeline - ETL vs Data pipeline



What is Data Pipeline | How to design Data Pipeline? - ETL vs Data pipeline
#datapipeline

***Do check out our popular playlists***

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Hi Friends, I am Anshul Tiwari, and welcome to our youtube channel I.T. k Funde.

More about this video -
In this video, we will understand what is a data pipeline with the help of a real-life example. Data pipelines are designed to move data from one point to another. In this video, we will cover below topics -

1 - What is a Data Pipeline?
2 - Why you need a data pipeline?
3 - Basic design of a data pipeline
4 - Types of Data Pipeline - Batch, Streaming, Lambda architecture
5 - Advanced data pipeline design

We will also learn about various products that can be used in a data pipeline - SAP BODS, Mongo DB, Apache Kafka, Big Query, MDM, Teradata, SAP Business Objects, Tableau.

Credits & Resources -
Wikipedia
alooma.com/blog/what-is-a-data-pipeline

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Data Engineer Interview Questions | Data Engineer Interview Preparation | Intellipaat



🔥Intellipaat Data Analytics training course: intellipaat.com/data-analytics-master-training-course/
In this Data Engineer Interview Questions and Answers you will learn the latest and top questions asked by companies for Data Engineer interview. This Data Engineer Interview Questions & Answers video covers all kinds of questions starting from basic to advanced questions so that you can get benefited. We can assure you that if you watch this Data Engineer interview preparation video completely you can crack any Data Engineer job interview easily.
#DataEngineerInterviewQuestions #DataEngineerInterviewPreparation #DataEngineerInterviewQuestionsandAnswer #DataEngineerInterview #DataEngineeringInterviewQuestions #DataEngineer #Intellipaat
📌 Do subscribe to Intellipaat channel & get regular updates on videos: bit.ly/Intellipaat

🔗Watch Machine Learning Interview Questions: youtube.com/watch?v=h4Ml9WuhxAk

🔗Watch Data Science Interview Questions: youtube.com/watch?v=ZvPsvF30uaM

📕 Read insightful blog on what is Data Analytics: intellipaat.com/blog/what-is-data-analytics/

🔗 Watch Data Science tutorials here: bit.ly/30QlOmv

Are you looking for something more? Enroll in our Data Analytics course and become a certified Data Scientist ( intellipaat.com/data-analytics-master-training-course/). It is a 92 hrs instructor led Data Analytics training provided by Intellipaat which is completely aligned with industry standards and certification bodies.

If you’ve enjoyed this Data Engineer Interview Questions , Like us and Subscribe to our channel for more similar Data Analytics videos and free tutorials.
Got any questions about Data Analyst career? Ask us in the comment section below.
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------------------------------

Why Data Analytics is important?

Data analysis is an internal organisational function performed by Data Analysts that is more than merely presenting numbers and figures to management. It requires a much more in-depth approach to recording, analyzing and dissecting data, and presenting the findings in an easily-digestible format.

Why should you opt for a Data Analytics career?

If you want to fast-track your career then you should strongly consider Data Analytics. The reason for this is that it is one of the fastest growing technology. There is a huge demand for Data Analyst. The salaries for Data Analytics is fantastic.There is a huge growth opportunity in this domain as well. Hence this Intellipaat Data Analytics tutorial is your stepping stone to a successful career!
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For more information:
Please write us to [email protected] or call us at: +91-7847955955

Website: intellipaat.com/data-analytics-master-training-course/

Facebook: facebook.com/intellipaatonline

LinkedIn: linkedin.com/company/intellipaat-software-solutions/

Twitter: twitter.com/Intellipaat

System Design Mock Interview: Design Instagram



Don't leave your system design interview to chance. Make sure you're interview-ready with Exponent's system design interview prep course. bit.ly/386aOt6

In this interview, Jacob (Dropbox Software Engineer) answers a system design interview question of designing Instagram, commonly asked in software engineering and technical program management (TPM) interviews.

The diagramming tool we use is called Whimsical: whimsical.com/

Chapters -
00:00:00 Introduction
00:00:09 Question
00:00:35 Answer
00:01:13 Requirements
00:03:41 Scale
00:06:19 Data types
00:14:50 Design

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ABOUT US:
Did you enjoy this Instagram system design interview question and answer? Want to land your dream system design, software engineering, or technical program management career (TPM)? Exponent is an online community, course, and coaching platform to help you ace your upcoming system design interview. Exponent has helped people land their dream careers at companies like Facebook, Microsoft, Amazon, and high-growth startups. Exponent is currently licensed by Stanford, Yale, UW, INSEAD, and others.

Our courses include interview lessons, questions, and complete answers with video walkthroughs. Get access to hours of real interview videos, where we analyze what went right or wrong, as well as our 1000+ community of expert coaches and industry professionals, to help you get your dream engineering job and more!

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40 Real Data Architect Interview Questions & Answers - Part I



1st of 4 part Data Architect Interview Questions & Answers series focusing on real questions that are asked. This part covers the first 10 question which are generic across all data architecture subject areas like Databases, Big Data, Data Stores & Data Trends

Data Architecture Interview Series:
1. Part I: Generic - youtu.be/9ToVk0Fgsz0
2. Part II: Data Modeling - youtu.be/zeFCchhEOKI
3. Part III: Data Warehouse & ETL - youtu.be/BFhU0XwGy7o
4. Part IV: Data Governance - youtu.be/PNqMnM83V4I

Related Video:
How to become a Data Architect - youtu.be/QxZGWDu3X0s

Other Areas (Playlists):
Data Governance: youtube.com/playlist?list=PLHnfxPFOoKcpXNJAflGlItjhoK7BquUKc
Big Data Architecture: youtube.com/playlist?list=PLHnfxPFOoKcq-siZUK3FI0D4KtIQSObR2
Cloud Computing Architecture: youtube.com/playlist?list=PLHnfxPFOoKcqMIh-7Z8z7Lz_DzMd-4Fls

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