Intermediate
Below you will find the best hadoop courses that are currently available on the internet. They are updated regularly with the aim to keep all their characteristics like price, level of difficulty, and certificate quality up to date so you can make an informed decision about which is the best hadoop course for you. Feel free to use the filters below to sift through the entire database on Courseroot.
Level
Price
Certificate
Hours
Platform
Want to learn on how to solve big data problems by deploying your own Hadoop Clusters? Worry no more. With this course students will learn how to tackle Hadoop clusters which specifically designed for storing and analyzing huge amounts of data, in the cloud and use them to gain insights from large datasets. More information
Learn the in's and out's of of Hadoop and MapReduce by taking this course open to intermediate users. Topics will basically touch on Flume, CassandraHadoop and MapReduce. After finishing the course, you will be able to apply the fundamental principles and make sense of your big data. More information
This course is open to beginners who want to be well-versed with different technologies. Topics will basically touch on Flume, Cassandra, Hbase, MongoDB, Hive, Spark, Pig, HDFS, Hadoop and MapReduce. On top of that, there are over 25 technologies which will also be discussed thoroughly.
This course is open to beginners, intermediate and advanced learners who want to be well-versed with different technologies. Topics will basically touch on Flume, Cassandra, Hbase, MongoDB, Hive, Spark, Pig, HDFS, Hadoop and MapReduce. On top of that, there are over 25 technologies which will also be discussed thoroughly.
For those new to data science, this course is for you. It provides lessons on Big Data landscape, the V's of Big Data, Hadoop, MapReduce programming model and more. The course is available for all levels. After this great Coursera course has been completed, students will be able to provide an explanation of the architectural components and programming models. More information
For beginners who want to learn more about data and programming, check out this course today. These fantastic instructors provide a comprehensive understanding on Big Data and Hadoop through a series of tutorials and modules.
If you need help in analyzing large data sets, check out this course today. These great tutors provide pointers on how to use Apache Spark either on Hadoop or desktop. Learn the 20+ hands-on examples throughout this course and gain substantial knowledge afterwards.
Discover the Hive query language and how standard Big Data problems can be solved with it. You
Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distribut
Processing billions of records requires a deep understanding of distributed computing. In this course, you'll get introduced to Hadoop,
In this week long intensive course aimed at advanced data engineering students who are interested in specializing in the google cloud platform, you will enjoy videos, practical labs and presentations. The course content includes building and managing clusters, integration of Hadoop and Spark, plus how to access and combine data using the google cloud platform. More information
Learn MapReduce fast by building over 10 real examples, using Python, MRJob, and Amazon's Elastic MapReduce Service.
An investigation into the convergence of relational SQL database technologies from several vendors and Big Data technologies like Apache Hadoop This course explains what Big Data, Hadoop and Massively Parallel Processing (MPP) data warehouse technologies are, and how the latter two are converging te
This course will teach you how to use Apache Spark to analyze your big data at lightning-fast speeds; leaving Hadoop in the dust! For a deep dive on SQL and Streaming check out the sequel, Handling Fast Data with Apache Spark SQL and Streaming. Our ever-connected world is creating data faster than M
The Big Data components of Azure let you build solutions which can process billions of events, using technologies you already know. In this course, we build a real world Big Data solution in two phases, starting with just .NET technologies and then adding Hadoop tools. How do you make sense of Big D
Pig Latin is a powerful language that allows developers to create MapReduce jobs in SQL-Like syntax. In this course, you will go through the basics of the Pig Latin language and learn how to use it in the real world. Writing a MapReduce job isn't the easiest part of being a Hadoop developer, but wit
The Google Cloud for ML with TensorFlow, Big Data with Managed Hadoop
Everything you need to know about Big Data, and Learn Hadoop, HDFS, MapReduce, Hive & Pig by designing Data Pipeline.
Use advanced tools such as HDFS, MapReduce, Yarn, Pig, Hive, Kafka, HBase, Spark, Knox, Ranger, Ambari, and Zookeeper to master the Hadoop ecosystem and be a professional at it.
Learn Apache Hive and Start working with SQL queries which is on Data which is in Hadoop
Learn Hadoop and get certified & bag one of the highest paying IT jobs in current times.
Unlock the power of big data with an overview of Apache Hadoop and get hands-on practice setting up your own Hadoop instance. More information
If you want to learn more about Data analysis and Hadoop than this is a course for you. Don
CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certifications. This scenario-based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies.