Delta Lake with Apache Spark using Scala

Partner: Udemy
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Description: Delta Lake with Apache Spark using Scala – Hands-On GuideAre you working with big data and struggling with data reliability, consistency, and performance? Do you want to master the technology that powers modern data lakes used by top companies worldwide?Welcome to Delta Lake with Apache Spark using Scala, a hands-on, beginner-to-advanced course designed to help you understand, implement, and optimize Delta Lake for real-world big data projects.Delta Lake is an open-source storage layer that brings ACID transactions, schema enforcement, and unified batch + streaming processing to Apache Spark and big data workloads. By the end of this course, you will be able to confidently build, manage, and optimize Delta Lake tables for enterprise-scale analytics.What makes this course unique?Step-by-step, hands-on approach – learn by doing, not just theory.Covers both fundamentals and advanced concepts – from creating Delta tables to optimizing performance with file management and caching.Practical use cases & interview preparation – with dedicated FAQ lectures to strengthen your real-world knowledge.Up-to-date content – including Databricks free account setup (old & new), Spark cluster provisioning, and best practices.Built for Scala developers – get the real experience of working with Delta Lake using Apache Spark + Scala.What’s inside the course?Section 1: Introduction to Delta Lake & SparkGet started with Delta Lake, its key features, and the concept
Category: Development > Database Design & Development > Apache Spark
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Price: 19.99
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Source: Impact
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