Master Big Data with Spark, Scala, PySpark, and Databricks

Master Big Data with Spark, Scala, PySpark, and Databricks, available at $44.99, has an average rating of 5, with 36 lectures, 1 quizzes, based on 2 reviews, and has 20 subscribers.

You will learn about Apache Spark is a fast and general engine for processing Big Data,The scala based course extensively introduce the concept Apache Spark,Scala,Pyspark Big Data Learning Scala This course is ideal for individuals who are Developers , testers It is particularly useful for Developers , testers.

Enroll now: Master Big Data with Spark, Scala, PySpark, and Databricks

Summary

Title: Master Big Data with Spark, Scala, PySpark, and Databricks

Price: $44.99

Average Rating: 5

Number of Lectures: 36

Number of Quizzes: 1

Number of Published Lectures: 36

Number of Published Quizzes: 1

Number of Curriculum Items: 40

Number of Published Curriculum Objects: 40

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will Learn

Apache Spark is a fast and general engine for processing Big Data,The scala based course extensively introduce the concept

Apache Spark,Scala,Pyspark

Big Data

Learning Scala

Who Should Attend

Developers , testers

Target Audiences

Developers , testers

Master Big Data with Apache Spark & Databricks: Hands-on Training

Unleash the Power of Big Data for Real-world Insights

Struggling to process massive datasets and extract valuable insights? This comprehensive Apache Spark course equips you with the skills to conquer big data challenges and unlock its potential.

What You’ll Gain:

Effortless Data Processing: Master Spark’s architecture and core concepts for efficient data manipulation at scale.

In-depth Data Analysis: Leverage Spark SQL, DataFrames API, and RDDs to gain deep insights from complex datasets.

Python & Scala Expertise: Build a strong foundation in Scala and Python (PySpark) for powerful Spark development.

Databricks Mastery: Deploy, manage, and collaborate on Spark applications seamlessly within Databricks.

Bonus Python Foundations: (For beginners) Gain a solid understanding of Python, essential for PySpark and Data Science.

Course Features:

Engaging Video Lectures: Learn at your own pace with clear and concise video tutorials.

Hands-on Projects: Apply your knowledge through practical exercises and real-world case studies.

Lifetime Access & Updates: Stay ahead of the curve with ongoing course updates and materials.

Downloadable Resources: Deepen your learning with comprehensive downloadable materials.

Expert Q&A Support: Get your questions answered by our experienced instructors.

Why Spark?

Blazing-fast Processing: Conquer massive datasets with lightning-fast processing power.

Actionable Insights: Go beyond raw data, uncover hidden patterns, and make data-driven decisions.

Real-world Applications: Power everything from real-time analytics to cutting-edge scientific research.

Become a Big Data Expert Today!

Enroll now and start your journey to mastering Apache Spark and Databricks!

Course Curriculum

Chapter 1: Introducing Big Data

Lecture 1: Quick Reference To Big Data & Hadoop

Lecture 2: Basic Hadoop Commands

Lecture 3: Introduction to Big Data and Hadoop: Concepts, Architecture, and Basic Commands

Chapter 2: Apache Spark :Platforms

Lecture 1: Apache Spark: Databricks Community Edition/Integration With Azure

Lecture 2: Spark On Ubuntu

Chapter 3: Apache Spark

Lecture 1: Introduction To Spark

Lecture 2: Spark Vs. Hadoop

Lecture 3: Spark: RDD

Lecture 4: Spark SQL

Lecture 5: Azure Databricks & SQL Data Warehouse

Chapter 4: Scala

Lecture 1: Introduction To Scala

Chapter 5: Scala – Basic Functionality With Demo

Lecture 1: Basic Scala Functionalities & Hello World In Scala

Lecture 2: Scala – If Else

Lecture 3: Scala – While Loop

Lecture 4: Scala – Do While Loop

Lecture 5: Scala – For Loop

Lecture 6: Scala – Function

Lecture 7: Scala – Anonymous Function

Lecture 8: Scala Objects & Classes

Lecture 9: Basic Scala Program Using intellij

Lecture 10: Basic Scala Program On Databricks

Chapter 6: Python: A Prerequisite For Pyspark

Lecture 1: Why Python For Pyspark?

Lecture 2: What Is Python?

Lecture 3: Python Using Jupyter Notebook

Lecture 4: Variable And Data Types

Lecture 5: Basic Operators And Functions

Lecture 6: Python – LISTS,TUPLES,DICTIONARIES,SETS

Lecture 7: Exception Handling

Lecture 8: Loop

Lecture 9: Python Libraries

Lecture 10: Object Oriented Programming In Python

Lecture 11: Reading A CSV File

Chapter 7: Pyspark

Lecture 1: Introduction Of Pyspark

Lecture 2: RDD In Pyspark

Lecture 3: Dataframe In Pyspark

Lecture 4: Demo:Dataframe In Pyspark

Instructors

Mukund Kumar Mishra
Technical Architect

Rating Distribution

1 stars: 0 votes

2 stars: 0 votes

3 stars: 0 votes

4 stars: 0 votes

5 stars: 2 votes

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!