Data engineering interview guide par voss calen (11 résultats)

Etat : New.

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Etat : New.

Etat : As New. Unread book in perfect condition.

Paperback. Etat : new. Paperback. Data engineering is at the heart of modern analytics and machine learning. With the rise of real-time data pipelines, Lakehouse architecture, and cloud-native tooling like Apache Spark, Delta Lake, dbt, and Snowflake, companies are rapidly evolving how they store, process, and deliver data. This shift has redefined what's expected in interviews-from hands-on pipeline design and Python coding to SQL tuning, stream processing, and architecture design.This second edition is written by a professional data engineering specialist and technical author, combining deep industry knowledge with firsthand insight into the interview processes of top-tier companies like Databricks, Netflix, Airbnb, Snowflake, Stripe, and Meta. It's designed not just to review concepts-but to help you crack the interview and land the job.Data Engineering interview guide 2nd Edition is your complete companion to acing modern data engineering interviews. Updated for 2024-2025, this practical and deeply researched guide helps you master the technical and strategic thinking required to stand out. From SQL window functions and PySpark optimization to debugging distributed systems and stream-first architectures, each section is packed with real-world relevance and actionable insights.100+ real interview questions from modern data teamsDetailed solutions with Python, SQL, Spark, dbt, and DuckDBStreaming vs batch pipeline trade-offs with case studiesETL/ELT architecture with Delta Lake, Apache Iceberg, and HudiPerformance tuning for Spark, SQL, and cloud infrastructureMonitoring, observability & security essentialsMock interview blueprints & salary negotiation tipsAppendices: Glossary, resume templates, cheat sheets, and moreThis book is ideal for: Data engineers preparing for high-stakes interviewsSoftware engineers transitioning into data rolesBootcamp graduates and self-taught developersExperienced professionals aiming for FAANG, startups, or data-focused scaleupsYou don't need to be an expert in every tool-but this guide will help you talk like one and solve problems like a pro.Whether you're 1 week away from a phone screen or 3 months into a career switch, this guide adapts to your timeline. Use it for deep practice, last-minute review, or daily drills to build confidence fast.Master the tools. Crack the code. Get the offer.If you're serious about succeeding in modern data engineering interviews-this is the one book you can't afford to skip. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

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PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Etat : new. Paperback. Data engineering is at the heart of modern analytics and machine learning. With the rise of real-time data pipelines, Lakehouse architecture, and cloud-native tooling like Apache Spark, Delta Lake, dbt, and Snowflake, companies are rapidly evolving how they store, process, and deliver data. This shift has redefined what's expected in interviews-from hands-on pipeline design and Python coding to SQL tuning, stream processing, and architecture design.This second edition is written by a professional data engineering specialist and technical author, combining deep industry knowledge with firsthand insight into the interview processes of top-tier companies like Databricks, Netflix, Airbnb, Snowflake, Stripe, and Meta. It's designed not just to review concepts-but to help you crack the interview and land the job.Data Engineering interview guide 2nd Edition is your complete companion to acing modern data engineering interviews. Updated for 2024-2025, this practical and deeply researched guide helps you master the technical and strategic thinking required to stand out. From SQL window functions and PySpark optimization to debugging distributed systems and stream-first architectures, each section is packed with real-world relevance and actionable insights.100+ real interview questions from modern data teamsDetailed solutions with Python, SQL, Spark, dbt, and DuckDBStreaming vs batch pipeline trade-offs with case studiesETL/ELT architecture with Delta Lake, Apache Iceberg, and HudiPerformance tuning for Spark, SQL, and cloud infrastructureMonitoring, observability & security essentialsMock interview blueprints & salary negotiation tipsAppendices: Glossary, resume templates, cheat sheets, and moreThis book is ideal for: Data engineers preparing for high-stakes interviewsSoftware engineers transitioning into data rolesBootcamp graduates and self-taught developersExperienced professionals aiming for FAANG, startups, or data-focused scaleupsYou don't need to be an expert in every tool-but this guide will help you talk like one and solve problems like a pro.Whether you're 1 week away from a phone screen or 3 months into a career switch, this guide adapts to your timeline. Use it for deep practice, last-minute review, or daily drills to build confidence fast.Master the tools. Crack the code. Get the offer.If you're serious about succeeding in modern data engineering interviews-this is the one book you can't afford to skip. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …