Welcome to the world of big data! In this era of digital transformation, the sheer volume and complexity of data generated daily have become mind-boggling. To navigate this data-driven landscape and harness its vast potential, it is crucial to possess the right skills and knowledge.
That’s where Udemy, one of the leading online learning platforms, comes into play. With a plethora of courses on big data, Udemy provides a rich and diverse learning experience that empowers individuals to master the art of handling and analyzing large datasets.
In this article, we will explore some of the best big data courses on Udemy, each offering a unique and comprehensive learning journey. So, whether you are a beginner aiming to break into the field or an experienced professional seeking to enhance your expertise, Udemy has got you covered!
Learn and master the most popular data engineering technologies in this comprehensive course, taught by a former engineer and senior manager from Amazon and IMDb. We’ll go way beyond Hadoop itself, and dive into all sorts of distributed systems you may need to integrate with.
This course is comprehensive, covering over 25 different technologies in over 14 hours of video lectures. It’s filled with hands-on activities and exercises, so you get some real experience in using Hadoop – it’s not just theory.
You’ll walk away from this course with a real, deep understanding of Hadoop and its associated distributed systems, and you can apply Hadoop to real-world problems. Plus a valuable completion certificate is waiting for you at the end!
- Install and work with a real Hadoop installation right on your desktop with Hortonworks (now part of Cloudera) and the Ambari UI
- Manage big data on a cluster with HDFS and MapReduce
- Write programs to analyze data on Hadoop with Pig and Spark
- Store and query your data with Sqoop, Hive, MySQL, HBase, Cassandra, MongoDB, Drill, Phoenix, and Presto
- Design real-world systems using the Hadoop ecosystem
- Learn how your cluster is managed with YARN, Mesos, Zookeeper, Oozie, Zeppelin, and Hue
- Handle streaming data in real time with Kafka, Flume, Spark Streaming, Flink, and Storm
Rating:4.5 | Course Duration:14.5 hrs
Total Articles: 9 | Total Downloadable Resources: 2
The course content is designed in a way that is Simple to follow and understand, expressive, exhaustiv, practical with live coding, replete with quizzes, rich with state-of-the-art and up-to-date knowledge of this field.
This course is designed to reflect the most in-demand Scala skills that you will start using right away at the workplace. The 6 mini-projects and one Scala Spark project included in this course are a vital component of this course.
As this course is a detailed compilation of all the basics, it will motivate you to make quick progress and experience much more than what you have learned. At the end of each concept, you will be assigned Homework/tasks/activities/quizzes along with solutions.
This course is designed for beginners. We’ll spend enough time to make a solid ground for newbies and they will go far deep gradually with a lot of practical implementations where every step will be explained in detail.
Rating: 4.5 | Course Duration: 54.5hrs | Total Articles: 4
This course provides an end-to-end implementation of the most in-demand Big Data skills, including Hadoop, Spark, Kafka, Cassandra, and more. With 33 hours of hands-on training, you’ll start with the basics and work your way up to production-level deployment, troubleshooting, and performance improvement.
We cover everything from local development to integrating with complex data sources, such as NOSQL databases, and even streaming data. Our team is available to address any questions you have, and our video tutorials are all explained with examples.
By the end of this Big Data Online course, you’ll be a Big Data expert, ready to take on any job in the industry. Don’t miss this opportunity to join the world of Big Data!
- Understand the world of Big Data. What is Big data and why it is important
- Understand and learn the concepts behind Hadoop. Understand its architecture
- Install the software and start writing code
- Learn important Hadoop Commands
- Learn the file formats and understand when to use each of the file formats
- Dive deep into Sqoop- a tool used for transferring data between RDBMS and HDFS
- Dive deep into Hive- a tool used for querying the data on HDFS
- Learn Scala – a top programming language
- Dive deep into Spark which is very hot in the market
- Learn NOSQL Databases – Cassandra and HBase and integrate them with Spark
- Work with Complex data and process them effectively
- Make your code production ready and deploy them onto the cluster
- Learn Apache NIFI- a powerful and scalable open source tool for data routing
- Work with Streaming data
- Learn Kafka and integrate it with Spark
- Learn troubleshooting techniques and performance improvement tips
Rating: 4.5 | Course Duration: 33hrs
Total Articles: 54 | Total Downloadable Resources: 61
This course will teach the basics with a crash course in Python, continuing on to learning how to use Spark DataFrames with the latest Spark 2.0 syntax! Once we’ve done that we’ll go through how to use the MLlib Machine Library with the DataFrame syntax and Spark.
All along the way, you’ll have exercises and Mock Consulting Projects that put you right into a real-world situation where you need to use your new skills to solve a real problem!
We also cover the latest Spark Technologies, like Spark SQL, and Spark Streaming, and advanced models like Gradient Boosted Trees!
After you complete this course you will feel comfortable putting Spark and PySpark on your resume! This course also has a full 30-day money-back guarantee and comes with a LinkedIn Certificate of Completion!
Rating: 4.5 | Course Duration:10.5hrs
Total Articles: 4 | Total Downloadable Resources: 4
In this course, you will start by learning what is hadoop distributed file system and most common hadoop commands required to work with Hadoop File system.
Then you will be introduced to Sqoop Import
- Understand lifecycle of sqoop command.
- Use sqoop import command to migrate data from Mysql to HDFS.
- Use sqoop import command to migrate data from Mysql to Hive.
- Use various file formats, compressions, file delimeter,where clause and queries while importing the data.
- Understand split-by and boundary queries.
- Use incremental mode to migrate the data from Mysql to HDFS.
Further, you will learn Sqoop Export to migrate data.
- What is sqoop export
- Using sqoop export, migrate data from HDFS to Mysql.
- Using sqoop export, migrate data from Hive to Mysql.
Further, you will learn about Apache Flume
- Understand Flume Architecture.
- Using flume, Ingest data from Twitter and save to HDFS.
- Using flume, Ingest data from netcat and save to HDFS.
- Using flume, Ingest data from exec and show on console.
- Describe flume interceptors and see examples of using interceptors.
- Flume multiple agents
- Flume Consolidation.
Rating: 4.7 | Course Duration: 11.5hrs
Total Articles: 4 | Total Downloadable Resources: 20
you will be taken a step-by-step approach to learning all the fundamentals of Apache Kafka.
At the end of this course, you’ll be productive and you’ll know the following:
- The Apache Kafka Ecosystem Architecture
- The Kafka Core Concepts: Topics, Partitions, Brokers, Replicas, Producers, Consumers, and more!
- Launch your own Kafka cluster in no time using native Kafka binaries – Windows / MacOS X / Linux
- Learn and Practice using the Kafka Command Line Interface (CLI)
- Code Producer and Consumers using the Java API
- Real world project using Wikimedia as a source of data for a producer and OpenSearch as a sink for our consumer
- Overview of Advanced APIs (Kafka Connect, Kafka Streams)
- Real World Case Studies and Big Use cases
- Overview of Advanced Kafka for Administrators
Rating: 4.7 | Course Duration: 8.5hrs
Total Articles: 10 | Total Downloadable Resources: 1
Udemy offers an exceptional selection of big data courses that cater to learners of all levels, from novices to seasoned professionals. Through these courses, individuals can gain a deep understanding of big data concepts, tools, and techniques, enabling them to harness the power of data and make informed decisions.
Whether you want to explore the fundamentals of big data, delve into specific technologies like Hadoop and Spark, or dive into data analytics and machine learning, Udemy’s courses provide a comprehensive and engaging learning experience.
By enrolling in these courses, you can acquire the skills and knowledge necessary to thrive in the data-driven world and unlock new opportunities in various industries. So why wait? Start your journey towards mastering big data on Udemy today and unlock the immense potential that lies within the vast sea of data.
Remember, the world of big data is constantly evolving, and staying ahead requires continuous learning and exploration. Embrace the power of Udemy’s big data courses and embark on a transformative learning experience that will shape your career in the digital age.
which platform is best for learning big data?
When it comes to learning big data, several platforms offer comprehensive courses and resources to help you acquire the necessary skills. While each platform has its strengths, one of the best platforms for learning big data is Coursera and Udemy.
While Coursera is highly recommended for learning big data, it’s worth noting that other platforms like edX, Udemy, and LinkedIn Learning also offer valuable resources and courses in this field. Ultimately, the best platform for learning big data depends on your preferences, learning style, and specific learning goals. Consider exploring the offerings of different platforms to find the one that aligns with your needs and provides the most comprehensive and engaging learning experience.