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DataExpert.io

Education

San Francisco, California 27,153 followers

Data Engineering education, solutions, and evangelism

About us

EcZachly Inc is a company dedicated to inspiring and educating the next generation of data talent!

Industry
Education
Company size
2-10 employees
Headquarters
San Francisco, California
Type
Privately Held
Founded
2023

Locations

Employees at DataExpert.io

Updates

  • DataExpert.io reposted this

    View profile for Hemanth Gudavalli, graphic

    Data Engineer at Raven software Solutions || Data scientist Intern at WeRadiate|| University at Buffalo || IIT MADRAS

    Took a while to Shake Off the Thanksgiving mood and back to Data Engineering Bootcamp by Zach Wilson DataExpert.io Dimensions vs. Facts in Data Modeling Here’s an interesting example from Airbnb pricing: Price of a Night on AirBnB - A fact or a Dimension? The PRICE of a night is a Dimension because it reflects the host’s current settings at a given time. It’s a snapshot of the state, useful for filtering or grouping (e.g., “listings under $150/night”). A price change EVENT is a Fact because it’s a measurable action logged with a timestamp. These events are crucial for tracking trends, like “how often do hosts update prices?” State = Dimension (e.g., the current price setting). Change = Fact (e.g., the logged event of a price update).

  • DataExpert.io reposted this

    Hey folks! I wanted to share my progress after the first week (Dimensional Data Modeling) of Zach Morris Wilson's DataExpert.io bootcamp. It’s been a challenging but rewarding experience so far. The lectures and labs are packed with valuable knowledge that goes beyond just watching videos. If you want to truly absorb the material, I recommend watching each video 2-3 times. Here’s my approach: First, I watch the video without taking notes, just to grasp the core concepts. Then, I revisit the lecture, take detailed notes, and redo the lab. On average, I’m spending around 18 hours on lectures and labs alone, with another 10 hours dedicated to homework. Though it’s a lot of work, I’m really happy with my progress and excited to continue learning! 💪 PS: Kendrick Lamar dropped a new album today and Zach Morris Wilson will release a new lecture tomorrow. What am I gonna do?! 😅

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  • Yash Bhawsar in crushing it!! #dataengineering

    View profile for Yash Bhawsar, graphic

    Principal Engineer@Invesco | Data Engineering & Analytics Unlocking Data Potential for Business Growth

    A table within a table in SQL? Make historical queries without GROUP BY? 🤯 A great initiative by Zach Morris Wilson (Ex-Airbnb, Meta) for Data Engineering folks by launching a free Bootcamp for everyone at DataExpert.io I have just completed the Day1 lecture & lab and got to know about how the Cumulative Table Design concept, enabling more efficient handling of historical data. Key takeaways: ————————- ✅Run-Length Encoding (RLE) optimizes storage by compressing repeated values, without impacting data retrieval. ✅Complex Data Types (e.g., STRUCT) allow you to store and query multi-season data in a single column—no need for joins or GROUP BY, making queries faster and simpler. You will also learn… —> Using Docker to set up a Postgres DB. —> Working with Data management tool like DataGrip. If you're looking to level up your data engineering skills, this amazing free bootcamp is a must-try! 🚀 Links are in the comment 🔗 Follow Yash Bhawsar for more insights, tips, and resources to help you on your data engineering journey. Let’s build the future with data! 🌟 Keep Learning 😊 #DataEngineering #SQL #FreeBootcamp

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  • DataExpert.io reposted this

    View profile for Cauê Marchionatti Ausec, graphic

    Product Owner | Inovação | Analytics

    Uma tabela dentro de outra tabela em SQL? fazer consultas históricas sem precisar de Group By? 🤯 É mais ou menos essa a ideia que o Zach Morris Wilson (Ex Airbnb, Meta) nos apresentou na primeira etapa do seu Bootcamp de Engenharia de Dados da DataExpert.io através do conceito de Cumulative Table Design. Os objetivos desse padrão são: 1. Otimizar o armazenamento de dados aproveitando a otimização oferecida pelo Run-Lenght Encoding de formatos de dados colunares. Esse tipo de codificação é comum em arquivos do tipo .parquet e permite valores duplicados dentro da mesma coluna sejam ignorados (como nomes e telefones repetidos) no armazenamento, sem comprometer a leitura dos dados originais depois. 2. Uso de tipos complexos de dados para otimização de consultas analíticas. No exemplo, o tipo STRUCT foi utilizado para modelar os resultados de jogadores da NBA em uma dada temporada. Para cada nova temporada, um novo registro foi criado, acrescentando o histórico da temporada anterior a uma coluna de array de structs, que contém os resultados de todas as temporadas daquele jogador até aquele momento. isso permite por exemplo: calcular em cima de valores históricos dos jogadores sem a necessidade de sequer realizar joins ou agrupamentos, deixando consultas tradicionalmente custosas leves e objetivas. ------------------------------------------------------------------------------ Na primeira imagem, a declaração do tipo STRUCT personalizado para os resultados de jogadores de basquete em uma temporada e o DDL da tabela, declarando a coluna season_stats como um array do tipo personalizado. Na segunda imagem, um exemplo da estrutura de um registro com uma coluna de ARRAY de STRUCTs, contendo os resultados de cada temporada de um jogador. Na terceira imagem, um exemplo de consulta que calcula o aumento do rendimento entre a primeira e a mais recente temporada de cada jogador, criada sem o uso de nenhum join, agrupamento ou window function, apenas com o uso do tipo complexo STRUCT 😯

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  • DataExpert.io reposted this

    View profile for Matthew Hoang, graphic

    Data Analyst | SQL | SAS | Excel | R

    🚀 Day 2 of the DataExpert.io Free Bootcamp! I streamed this morning, and a few people joined to ask how the start of the bootcamp is treating me. Honestly, today was a challenge! 😅 The lab required me to: ✅ Download PostgreSQL ✅ Set up DBeaver ✅ Connect a local repository to GitHub ✅ Clone a repo These were all new to me, and I struggled to get off the ground at first. But with some determination, reading documentation, and learning from tips shared on Discord, I finally got everything up and running! 🙌 I’ll be doing a surprise stream tonight to make more progress on today’s lab. Looking forward to continuing this journey and growing my skills. A huge thanks to Zach and the team at DataExpert.io for motivating me to get back into both streaming and learning. Your guidance and this community make a huge difference! 💬 For anyone else going through this bootcamp (or something similar), how did you approach these first steps? Let’s share tips and keep each other motivated! Catch me on Twitch: https://lnkd.in/ebWqpRXH #DataEngineering #BootcampJourney #PostgreSQL #GitHub #TwitchStreaming #LearningTogether

  • DataExpert.io reposted this

    View organization page for Striim, graphic

    19,260 followers

    What’s the secret to becoming a great data engineer? 💡 Join host John Kutay as he chats with Zach Morris Wilson in this episode of What’s New in Data. Zach, with experience at DataExpert.io, Facebook, Netflix, and more, shares his journey and offers valuable insights into the field. Listen to discover: 🔍 A hearty serving of SQL and backend development insights 🔍 AI’s role in shaping data engineering 🔍 Why the human element is crucial in a landscape driven by algorithms 🔍 The latest innovations transforming the data engineering domain 🔍 The importance of community within the data sphere 🔍 Strategies for advancing in an ever-evolving tech landscape 🔗 Tune in now: Spotify: https://lnkd.in/eWspkAPD Apple: https://lnkd.in/edUV9WYY #whatsnewindata

  • DataExpert.io reposted this

    View profile for Zach Wilson, graphic
    Zach Wilson Zach Wilson is an Influencer

    Founder of DataExpert.io | ADHD | Dogs

    My 11 year data career in 11 lines: Year 1: Tableau rocks Year 2: Tableau sucks, what is this Hadoop stuff? Year 3: Utah sucks. I need to leave. Move to DC. Move to SF. I MADE IT. FACEBOOK Year 4: Data engineering sucks, what about backend? Year 5: NETFLIX GAVE ME A 130% RAISE Year 6: Cybersecurity backend is a lot. Filing patents with Netflix. Watch my entire management chain get fired Year 7: Pandemic. Quit Netflix. Time to try to be a pro gamer, at least better than Carly at Warzone Year 8: Start making content everyday, Airbnb takes a chance on a 26 year old Year 9: Burn myself into the ground doing full time content and Airbnb job Year 10: I leave Airbnb. Bet on myself and make a million dollars Year 11: Scaling DataExpert.io to thousands of students What about yours?

  • DataExpert.io reposted this

    ✅ Week 2: DataExpert.io Analytics Engineering Bootcamp ✅ Another great week and a packed schedule with the highlight being hearing from Carly and her experiences in the industry: 🌟 🔷 Tuesday: TA Support Office Hours 🔷 Wednesday: CDC vs SCD(with Snowflake) & Tech Talk with Carly, who just helped deliver Call of Duty: Black Ops 6! 🤯🎮 🔷 Thursday: Passing the Python 🐍 Interview with Zach 🔷 Friday: Data Modelling with Snowflake & Week 1 Assignment Deadline 📅 🔷 Saturday: TA Support Office Hours My goal for the rest of this week is to wrap up the assignment and get started on the Capstone Project! 💼

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