System Design For Data Engineering

They called it a problem solving and design interview but he just asked me questions about setting up a data pipeline with spark. Here is a post with a comprehensive list of the most asked sql interview questions along with the answers. To help prepare, check out the khan academy sql course. Database and system design is another crucial skill for any data engineer. Dde provides a wide range of services that can be utilized in various fields. Have a few onsite interviews coming up. Any recommendations for preparing for the system desugn round for a data engineering position? Most resources that i’ve come across are for an swe position.

To help prepare, check out the khan academy sql course. Database and system design is another crucial skill for any data engineer. Dde provides a wide range of services that can be utilized in various fields. Have a few onsite interviews coming up. Any recommendations for preparing for the system desugn round for a data engineering position? Most resources that i’ve come across are for an swe position. If any one has sample questions that would help as well. System design is the process of designing the elements of a system such as the architecture, modules and components, the different interfaces of those components and the data that goes through that… System design and development. System design is the process of defining the components, modules, interfaces, and data for a system to satisfy specified requirements.

Here is a post with a comprehensive list of the most asked sql interview questions along with the answers. To help prepare, check out the khan academy sql course. Database and system design is another crucial skill for any data engineer. Dde provides a wide range of services that can be utilized in various fields. Have a few onsite interviews coming up. Any recommendations for preparing for the system desugn round for a data engineering position? Most resources that i’ve come across are for an swe position. If any one has sample questions that would help as well. System design is the process of designing the elements of a system such as the architecture, modules and components, the different interfaces of those components and the data that goes through that…

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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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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.

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?

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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

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

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3) Crunching Data Series (2020) - youtube.com/playlist?list=PLcnJIHtHiTA2HmIleev4scARSFwrQ0bIy

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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Delivering High Quality Analytics at Netflix



Netflix is a data-driven entertainment company, where analytics are extensively used to make informed decisions on every aspect of the business. As such, when something goes wrong — and, inevitably, it will — it’s imperative that it’s quickly caught, communicated, and fixed.

In this talk, Michelle Ufford will share how the Data Engineering & Analytics team at Netflix does exactly that. She'll describe their analytics environment and how data is used across a variety of roles, then delve into how Netflix is tackling common analytics challenges affecting data quality.

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

Want to Get Better at the System Design Interview Start Here!



System Design interviews are HARD. This video will give you a great start at mastering the art of system design. I will provide you some insight into the system design interviews, recommend some great books, some free resources and give you interview advice -- what to do, and what not to do!

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SYSTEM DESIGN ONLINE RESOURCE

Grokking the System Design Interview & Grokking the Advanced System Design Interview courses @ Educative
To get 10% off, follow the link: educative.io/engineeringwithutsav

SYSTEM DESIGN BOOKS

Web Scalability for Startup Engineers - amzn.to/39c55QV
Designing Data Intensive Applications - amzn.to/3fxgOLm
Building Microservices - amzn.to/2UUPsFi
System Design Interview - amzn.to/33gpRev

BONUS BOOKS

Microservice Patterns and Best Practices - amzn.to/2JcEWH2
Domain Driven Design - amzn.to/2UUPXza

PRODUCT DESIGN BOOKS

RESTful Web APIs - amzn.to/33gpctH
Build APIs You Won't Hate - amzn.to/3l1vMKG

LOW LEVEL DESIGN BOOKS

Clean Architecture - amzn.to/3kZ7UqR
Head First Design Patterns - amzn.to/36XTqT2

BOOKS ON RELEVANT TECHNOLOGIES

I Heart Logs - amzn.to/39iF6Yp
Kafka: The Definitive Guide - amzn.to/3997wUB
Graph Databases - amzn.to/2UZE8aQ
Cassandra: The Definitive Guide - amzn.to/39e31rB

FREE BOOKS

Site Reliability at Google - sre.google/books/
Distributed Systems for Fun and Profit - book.mixu.net/distsys/

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TIMESTAMPS

00:00 Introduction
01:48 Interview Types
02:44 Books for System Design
07:40 Bonus Books
09:45 Books for Product Design
13:34 Domain Specific Books
15:07 Interview Tips and Preparation Advice

#engineeringwithutsav #softwareengineeringwithutsav #softwareengineering #utsavized

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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

👉 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 #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

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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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.

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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
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❓ 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

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
🔥 Get 10% off your next data engineering interview prep: interviewquery.com/?ref=datasciencejay

❓ 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

5 Tips for System Design Interviews



Here are 5 Tips for System Design interviews. They are helpful when preparing for a System Design interview.

1. Don't get into details prematurely

2. Avoid fitting requirements to a set architecture in mind

3. Keep it simple, stupid! Remember to look at the big picture and avoid too many hacks when solving.

4. Have justifications for the points you make. Don't use buzz words or half hearted thoughts in your design.

5. Be aware of the current solutions and tech practices. A lot of solutions can be purchased off the shelf which simplify implementation. You should be able to argue for a custom implementation with it's pros and cons.

Have these on the back of your mind during you interview, and all the best!
Here are three major points evaluated during the interview:
1. Clarity of Thought

a. Express your thoughts in a clear manner.

b. Justify your decisions. Critical reasoning and argument are key to a successful software design.

c. When faced with a problem, use standard approaches to mitigate it. For example, say you are faced with an availability problem. State that replication and partitioning help increase availability in general, and move on to offer a solution.

d. Don’t make points without thinking them through. Half-hearted attempts at solving problems are frowned upon heavily.

2. Know about existing solutions

a. Stay up to date with the current solutions in the market. This includes products and design practices. If NoSQL is being adopted left right and center, you need to be aware of it.

b. Know when to pick a solution vs. building something custom. If you name a product, you should be (generally) aware of the features it provides.

c. Design practices enable you to meet custom requirements. Examples are decoupling systems, load balancing, sticky sessions, etc…

3. Flexibility

a. Switch your targets as the requirements shift. If the interviewer wants to know about one particular part of the system, do it first.

b. Never have a set architecture in mind. We all try to fit requirements to a system, but only after it has been shaped by the initial ones. A rigid attitude creates a brittle architecture. It will break before you do.

c. Take a step back at times to make adjustments to the general architecture. Being focused on one part can narrow our vision and bloat those areas. There will be components which can be extracted out and extended to the rest of the system.

Looking to ace your next interview? Try this System Design video course! 🔥
get.interviewready.io?source_id=tipsforsd

With video lectures, architecture diagrams, capacity planning, API contracts and evaluation tests. It's a complete package.
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What is System Design



Today, we are going to learn "What is System Design?". The goal is to make you understand what is System Design which means that there are few simplifications done while creating this.
System Design Series Playlist: youtube.com/playlist?list=PLqOiaH9id5qtD7h8Zwu1abjKULtVq0nQA
Blog post: afteracademy.com/blog/what-is-system-design-a-beginner-friendly-introduction

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References useful to me during learning:
- github.com/donnemartin/system-design-primer
- Book: Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
- highscalability.com

#systemdesign #system #design

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

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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

Stanford MLSys Seminar Episode 5: Chip Huyen



Episode 5 of the Stanford MLSys Seminar Series!

Principles of Good Machine Learning Systems Design
Speaker: Chip Huyen

Abstract:
This talk covers what it means to operationalize ML models. It starts by analyzing the difference between ML in research vs. in production, ML systems vs. traditional software, as well as myths about ML production.

It then goes over the principles of good ML systems design and introduces an iterative framework for ML systems design, from scoping the project, data management, model development, deployment, maintenance, to business analysis. It covers the differences between DataOps, ML Engineering, MLOps, and data science, and where each fits into the framework. It also discusses the main skills each stage requires, which can help companies in structuring their teams.

The talk ends with a survey of the ML production ecosystem, the economics of open source, and open-core businesses.

Speaker bio:
Chip Huyen is an engineer who develops tools and best practices for machine learning production. She’s currently with Snorkel AI and she’ll be teaching Machine Learning Systems Design at Stanford from January 2021. Previously, she was with Netflix, NVIDIA, Primer. She’s also the author of four bestselling Vietnamese books.

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Check out our website for the schedule: mlsys.stanford.edu
Join our mailing list to get weekly updates: groups.google.com/forum/#!forum/stanford-mlsys-seminars/join

#machinelearning #ai #artificialintelligence #systems #mlsys #computerscience #stanford #stanforduniversity #snorkel #snorkelai #netflixai #nvidia

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/

How Data Engineering Works



So, the sole purpose of data engineering is to take data from the source and save it to make it available for analysis. Sounds simple, but it’s the matter of the system that works under the hood.

Watch our video to find out more about data engineering:
00:00 Basic Data Infrastructure
02:07 ETL Pipeline
04:34 Data Warehouse
06:07 Data scientists and data engineers
08:05 Big Data
09:45 Data streaming
11:47 Distributed Computing

Sources:
[1] sre.google/sre-book/eliminating-toil/
[2] statista.com/statistics/419778/paypal-annual-payments/
[3] forbes.com/sites/bernardmarr/2019/08/23/the-amazing-ways-youtube-uses-artificial-intelligence-and-machine-learning/?sh=3752a1d75852

To learn more check our articles:
1) What is Data Engineer: Role Description, Responsibilities, Skills, and Background altexsoft.com/blog/what-is-data-engineer-role-skills/?utm_source=youtube&utm_medium=link&utm_campaign=howdataengineeringworks
2) Explaining the Data Pipeline, Data Warehouse, and Data Engineer Role altexsoft.com/blog/datascience/what-is-data-engineering-explaining-data-pipeline-data-warehouse-and-data-engineer-role/
3) Big Data Engineer: altexsoft.com/blog/big-data-engineer/
4) What is ETL Developer altexsoft.com/blog/datascience/who-is-etl-developer-role-description-process-breakdown-responsibilities-and-skills/

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Music in video by Kevin MacLeod ( incompetech.filmmusic.io): Sneaky Snitch, Sheep May Safely Graze - BWV 208, Wholesome, Disco Sting, Krampuss Workshop, Thinking Music, Whiskey on the Mississippi, Hidden Agenda, Egmont Overture, Sheep May Safely Graze, Holiday Weasel, Brittle Rille, March of the spoons, Hidden Agenda, Fuzzball Parade, Gothamlicious, Light Sting.
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