Databricks Certified Data Engineer Associate 2024

Databricks Certified Data Engineer Associate 2024, available at $44.99, has an average rating of 4.5, 4 quizzes, based on 1 reviews, and has 1001 subscribers.

You will learn about Data Governance Databricks Jobs Structured Streaming, Auto Loader Relational entities (databases, tables, views) Delta Lake Databricks Clusters, Notebooks, data storage Databricks Certified Data Engineer Associate Databricks Lakehouse Platform (architecture, descriptions, benefits) ELT with Spark SQL and Python Accessing Data from Azure Data Lake Storage (ADLS) Data Wrangling and Transformation: Cleaning, manipulating, and preparing data for analysis using tools like Spark SQL, Python, and Delta Lake. Databricks Tools and Features: Gaining proficiency in Databricks notebooks, clusters, SQL endpoints, and cost optimization techniques. Data Governance: Mastering best practices for data security, quality, and access control. Production Pipelines: Implementing production-ready pipelines with considerations for scalability, performance, and monitoring. Batch and Streaming Data Processing: Designing and building reliable pipelines for both historical and real-time data processing. Lakehouse Architecture: Understanding the core concepts and benefits of the Databricks Lakehouse platform. This course is ideal for individuals who are Data Engineer or IT Professional or Data Analysts or Anyone Eager to Learn Databricks or Databricks Data Engineer Associate or Big Data Professionals or Developers or Engineer Associate It is particularly useful for Data Engineer or IT Professional or Data Analysts or Anyone Eager to Learn Databricks or Databricks Data Engineer Associate or Big Data Professionals or Developers or Engineer Associate.

Enroll now: Databricks Certified Data Engineer Associate 2024

Summary

Title: Databricks Certified Data Engineer Associate 2024

Price: $44.99

Average Rating: 4.5

Number of Quizzes: 4

Number of Published Quizzes: 4

Number of Curriculum Items: 4

Number of Published Curriculum Objects: 4

Number of Practice Tests: 4

Number of Published Practice Tests: 4

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Data Governance

Databricks Jobs

Structured Streaming, Auto Loader

Relational entities (databases, tables, views)

Delta Lake

Databricks Clusters, Notebooks, data storage

Databricks Certified Data Engineer Associate

Databricks Lakehouse Platform (architecture, descriptions, benefits)

ELT with Spark SQL and Python

Accessing Data from Azure Data Lake Storage (ADLS)

Data Wrangling and Transformation: Cleaning, manipulating, and preparing data for analysis using tools like Spark SQL, Python, and Delta Lake.

Databricks Tools and Features: Gaining proficiency in Databricks notebooks, clusters, SQL endpoints, and cost optimization techniques.

Data Governance: Mastering best practices for data security, quality, and access control.

Production Pipelines: Implementing production-ready pipelines with considerations for scalability, performance, and monitoring.

Batch and Streaming Data Processing: Designing and building reliable pipelines for both historical and real-time data processing.

Lakehouse Architecture: Understanding the core concepts and benefits of the Databricks Lakehouse platform.

Who Should Attend

Data Engineer

IT Professional

Data Analysts

Anyone Eager to Learn Databricks

Databricks Data Engineer Associate

Big Data Professionals

Developers

Engineer Associate

Target Audiences

Data Engineer

IT Professional

Data Analysts

Anyone Eager to Learn Databricks

Databricks Data Engineer Associate

Big Data Professionals

Developers

Engineer Associate

Databricks Certified Data Engineer Associate

The Databricks Certified Data Engineer Associate certification exam assesses an individual’s ability to use the Databricks Lakehouse Platform to complete introductory data engineering tasks. This includes an understanding of the Lakehouse Platform and its workspace, its architecture, and its capabilities. It also assesses the ability to perform multi-hop architecture ETL tasks using Apache Spark& SQL and Python in both batch and incrementally processed paradigms. Finally, the exam assesses the tester’s ability to put basic ETL pipelines and Databricks SQL queries and dashboards into production while maintaining entity permissions. Individuals who pass this certification exam can be expected to complete basic data engineering tasks using Databricks and its associated tools.

The exam covers:

1. Databricks Lakehouse Platform – 24%

2. ELT With Spark SQL and Python – 29%

3. Incremental Data Processing – 22%

4. Production Pipelines – 16%

5. Data Governance – 9%

Become a data engineering expert and ace the Databricks Certified Data Engineer Associate exam with this comprehensive Udemy course.

Learn the fundamentals of data engineering:

Data wrangling and transformation

Data lakehouse architecture

Spark SQL and Python

Batch and streaming data processing

Production pipelines

Data governance

And more!

Prepare for the Databricks Certified Data Engineer Associate exam:

Gain the skills and knowledge you need to pass the exam

Practice with hands-on exercises and quizzes

Learn from experienced Databricks instructors

This course is ideal for:

Data engineers who want to validate their skills

Data analysts who want to learn data engineering

IT professionals who want to move into a data engineering role

Anyone who wants to learn about the Databricks Lakehouse Platform

Course Requirements:

Basic understanding of data science and analytics

Experience with programming languages such as Python or Scala

Access to a computer with internet connection

What you will learn:

Understand the Databricks Lakehouse Platform and its capabilities

Use Spark SQL and Python to wrangle and transform data

Build batch and streaming data pipelines

Implement data governance best practices

Prepare for the Databricks Certified Data Engineer Associate exam

Course Benefits:

Learn from experienced Databricks instructors

Get hands-on experience with the Databricks Lakehouse Platform

Prepare for the Databricks Certified Data Engineer Associate exam

Gain the skills and knowledge you need to become a data engineering expert

Enroll today and start your journey to becoming a Databricks Certified Data Engineer Associate!

Here are some additional details that you may want to include in your course description:

The course is self-paced and can be completed at your own pace.

The course is taught by experienced Databricks instructors who are experts in data engineering.

Upon completion of the course, you will receive a certificate of completion.

Dive Deep into Data Engineering Essentials:

Data Wrangling & Transformation: Clean, manipulate, and prepare data for analysis using robust techniques.

Lakehouse Architecture: Grasp the core concepts behind modern data lakehouse architecture and its advantages.

Spark SQL & Python Mastery: Leverage the power of Spark SQL and Python for efficient data processing and analysis.

Batch & Streaming Pipelines: Design and build production-ready pipelines for both batch and real-time data processing.

Data Governance Best Practices: Learn how to implement robust data governance strategies for secure and reliable data management.

And More: Explore essential topics like Delta Lake, Databricks notebooks, clusters, and cost optimization.

Ready to Conquer the Certification Exam?

Targeted Exam Preparation: Focus on key areas assessed in the Databricks Certified Data Engineer Associate exam.

Hands-on Learning: Sharpen your skills through practical exercises, real-world case studies, and challenging quizzes.

Expert-Led Instruction: Gain insights from experienced Databricks instructors and industry professionals.

Who Should Take This Course?

Aspiring Data Engineers: Build a solid foundation and launch your data engineering career.

Data Analysts: Elevate your skillset and transition into data engineering roles.

IT Professionals: Expand your expertise and contribute to data-driven initiatives.

Anyone: Eager to explore the Databricks Lakehouse Platform and unlock its potential.

Prerequisites:

Basic understanding of data science and analytics concepts.

Familiarity with programming languages like Python or Scala (preferred).

Access to a computer with internet connection.

Benefits You Can’t Ignore:

Become a Certified Data Engineer: Elevate your resume and stand out in the competitive job market.

Master Practical Skills: Solve real-world data challenges effectively with in-demand skills.

Future-Proof Your Career: Stay ahead of the curve in the ever-evolving field of data engineering.

Join a Supportive Community: Connect with fellow learners and instructors for continuous growth.

Enroll Today and Unlock Your Data Engineering Potential!

Course Curriculum

Instructors

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Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!