Mastering Databricks & Apache spark -Build ETL data pipeline

Learn fundamental concept about databricks and process big data by building your first data pipeline on Azure
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Udemy
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English
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Data Science
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instructor
Mastering Databricks & Apache spark -Build ETL data pipeline
2β€―504
students
4.5 hours
content
Aug 2021
last update
$29.99
regular price

Why take this course?

🌟 Course Headline: Mastering Databricks & Apache Spark - Build ETL Data Pipeline on Azure

πŸš€ Course Description:

Welcome to the course on "Mastering Databricks & Apache Spark -Build ETL data pipeline"! Dive into the world of big data processing with Databricks, a powerful platform that offers a unified analytics platform for data scientists, engineers, and business analysts. This course is designed to give you hands-on experience in building your first data pipeline on Azure, ensuring you grasp the fundamental concepts and practical applications of Databricks and Apache Spark.

πŸ› οΈ Key Learning Points:

  • Building Your Own Cluster: Learn how to create and manage a cluster that will process your data efficiently within Azure. With just one click, you can load data from various sources into Azure SQL and Delta tables.
  • Data Manipulation & Analysis: Utilize Databricks notebooks to prepare dashboards that will help answer critical business questions.
  • Cloud Infrastructure Deployment: Get exposed to deploying infrastructure on Azure cloud, understanding how to scale resources to meet the demands of your projects.
  • End-to-End Solution: This course will guide you through building an end-to-end solution in Azure Databricks, giving you a comprehensive understanding of the platform's capabilities.

πŸ” Fundamentals Covered:

  • Databricks: Understand the architecture and how it combines the best aspects of both data warehouses and lakes.
  • Delta Tables: Learn about the versions and vacuum operations to manage your data efficiently.
  • Apache Spark SQL: Gain expertise in using Spark SQL for data manipulation, including filtering, renaming, dropping, selecting, casting, and more.
  • Aggregation Operations: Master essential aggregations like SUM, AVERAGE, MAX, MIN, Rank, Row Number, and Dense Rank to analyze your data effectively.
  • Building Dashboards & Analytics: Discover how to create dashboards for insights and analytics, tailoring them to answer business questions.

πŸ‘₯ Who Should Take This Course:

This course is ideal for:

  • Data Engineers
  • BI Architects
  • Data Analysts
  • ETL Developers
  • BI Managers

Join Priyank Singh, an expert instructor, on this journey to master Databricks & Apache Spark. Learn the ins and outs of building scalable and efficient data pipelines in Azure, and transform the way you handle big data. πŸ’§βž‘οΈπŸš€

Enroll now and take the first step towards becoming a Databricks & Apache Spark expert! Let's turn your data into actionable insights with the power of cloud computing.

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udemy ID
09/03/2021
course created date
18/04/2021
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