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Free Courses on Hadoop, Hive, Pig, Jaql, HBase, Map Reduce, ZooKeeper

Want to get skilled on Hadoop, Hive, HBase, Map Reduce, Pig, Jaql, Oozie, or ZooKeeper? Big Data University provides one of the largest course curriculum on Hadoop and related technologies. You can take these courses for free, anywhere and any time. Get started now...

Free Courses

Hadoop Fundamentals I

Hadoop Fundamentals I teaches you the basics of Apache Hadoop and the concept of Big Data. This Hadoop course is entirely free, and so are the materials and software provided. This is the third version of our most popular Hadoop course. Since Version 2 was published, several more detailed courses covering topics such as MapReduce, Hive, HBase, Pig, Oozie, and Zookeeper have been added.  We recommend you start here and then dig deeper into the specific Hadoop technology you wish to learn more about.

Learn Hadoop

This Hadoop course is designed to give you a basic understanding of key Big Data technologies. In this Hadoop tutorial, we first begin with describing what Big Data is and the need for Hadoop to be able to process that data in a timely manner. This is followed by describing the Hadoop architecture and how to work with the Hadoop Distributed File System (HDFS) both from the command line and using the BigInsights Console that is supplied with InfoSphere BigInsights.

This Hadoop course was recently tested and updated for BigInsights Quick Start 4.1 (IBM's edition of Hadoop).


 

 Explorer Badge Earn an IBM Badge and Share it on Social Media!

By completing this course and passing the assessment, you will earn an IBM Badge! IBM's open badges provide an online representation of skills and achievements, allowing you to share your credential to LinkedIn, Facebook and Twitter. Or download and add to your badge to your e-mails and websites.

When someone clicks on your badge, they link to metadata describing your qualifications along with the process required to earn them. This additional level of information helps tell a more complete and compelling story of your achievements!

Big Data University has been chosen by IBM as one of the issuers of badges as part of the IBM Open Badge program. Share your achievements through LinkedIn, Facebook, Twitter, and more!

Big Data University leverages the services of Pearson VUE Acclaim to assist in the administration of the IBM Open Badge program.  By enrolling in this Hadoop course, you agree to Big Data University sharing your details with Pearson VUE Acclaim for the strict use of issuing your badge upon completion of the badge criteria.

 

Query languages for Hadoop

This course teaches you how to work with query and scripting languages such as Hive, Pig, and Jaql. These query and scripting languages simplify the development of map-reduce programs in Hadoop for developers with no Java expertise. Emphasis will be on Jaql.

Introduction to Jaql - v1 (old version)

This course is now archived.

You can still enroll, but you are looking at old possibly obselete material.

This course provides an overview of Jaql. It describes the JSON data format and does a simple comparison between Jaql, Pig and Hive. The second lesson starts to build a foundation for the Jaql language. After setting a foundation, next the Jaql core operators are introduced.  Then there is a simple review of MapReduce and how this applies to Jaql.  This is followed by showing how SQL can be used as Jaql operators.  And finally, the input/output capabilities of Jaql are covered.

 Explorer Badge Earn an IBM Badge and Share it in Social Media!

By completing this course and passing the assessment, you will earn an IBM Badge! IBM's open badges provide an online representation of skills and achievements, allowing you to share your credential to LinkedIn, Facebook and Twitter. Or download and add to your badge to your e-mails and websites. When someone clicks on your badge, they link to metadata describing your qualifications along with the process required to earn them. This additional level of information helps tell a more complete and compelling story of your achievements!

Big Data University has been chosen by IBM as one of the issuers of badges as part of the IBM Open Badge program. Share your achievements through LinkedIn, Facebook, Twitter, and more! See more at: http://bigdatauniversity.com/bdu-wp/bdu-course/414/

Big Data University leverages the services of Pearson VUE Acclaim to assist in the administration of the IBM Open Badge program.  By enrolling into this course, you agree to Big Data University sharing your details with Pearson VUE Acclaim for the strict use of issuing your badge upon completion of the badge criteria.

This course was tested and validated for v3 of the QSE VM.

Please download the v3 VM to complete the lab exercises.

https://www14.software.ibm.com/webapp/iwm/web/preLogin.do?source=swg-beta-iibob

Introduction to MapReduce Programming

This course explains the use of the mapper and reducer classes that make up a MapReduce application and where they get invoked in the application process. The student is walked through the development of a simple MapReduce application using a development environment based on Eclipse. Then the student goes through the same process but using a MapReduce development wizard to speed up development

Audience: Hadoop programmer beginners

Time to complete: 5 hours

Available in: English

Big Data University has been chosen by IBM as one of the issuers of badges as part of the IBM Open Badge program. Share your achievements through LinkedIn, Facebook, Twitter, and more!

Big Data University leverages the services of Pearson VUE Acclaim to assist in the administration of the IBM Open Badge program.  By enrolling into this course, you agree to Big Data University sharing your details with Pearson VUE Acclaim for the strict use of issuing your badge upon completion of the badge criteria.

This course was recently tested and updated for BigInsights Quick Start 4.0

http://www-01.ibm.com/software/data/infosphere/biginsights/quick-start/

 

Accessing Hadoop Data Using Hive

Writing map/reduce programs to analyze your Big Data can get complex. Hive can help make querying your data much easier. Apache Hive, first created at Facebook, is a data warehouse system for Hadoop that facilitates easy data summarization, ad-hoc queries, and the analysis of large datasets stored in Hadoop compatible file systems. Hive provides a mechanism to project structure onto this data and query the data using a SQL-like language called HiveQL. This course will teach you how to get started with Hive 0.12 using IBM BigInsights 2.1.2.

Big Data University has been chosen by IBM as one of the issuers of badges as part of the IBM Open Badge program. Share your achievements through LinkedIn, Facebook, Twitter, and more!

Big Data University leverages the services of Pearson VUE Acclaim to assist in the administration of the IBM Open Badge program.  By enrolling into this course, you agree to Big Data University sharing your details with Pearson VUE Acclaim for the strict use of issuing your badge upon completion of the badge criteria.

The labs for this course were recently updated and you can now take it in our virtual lab environment in the cloud.

If you are looking for the older version of the course, visit here.

Controlling Hadoop Jobs using Oozie

This course gives an overview of Oozie and how it is able to control Hadoop jobs. It begins with looking at the components required to code a workflow as well as optional components such as case statements, forks, and joins. That is followed by using the Oozie coordinator in order to schedule a workflow. One of the things that the student will quickly notice is that workflows are coded using XML which tends to get verbose. The last lesson of this course shows a graphical workflow editor tool designed to simplify the work in generating a workflow.

Big Data University has been chosen by IBM as one of the issuers of badges as part of the IBM Open Badge program. Share your achievements through LinkedIn, Facebook, Twitter, and more! See more at: http://bigdatauniversity.com/bdu-wp/bdu-course/controlling-hadoop-jobs-with-oozie/

Big Data University leverages the services of Pearson VUE Acclaim to assist in the administration of the IBM Open Badge program.  By enrolling into this course, you agree to Big Data University sharing your details with Pearson VUE Acclaim for the strict use of issuing your badge upon completion of the badge criteria.

This course was tested and validated for v3 of the QSE VM.

Please download the v3 VM to complete the lab exercises.

https://www14.software.ibm.com/webapp/iwm/web/preLogin.do?source=swg-beta-iibob

Hadoop Reporting and Analysis

This course teaches you how to build your own Hadoop/Big Data reports over relevant Hadoop technologies such as HBase, Hive, etc. It provides guidelines to choose between various reporting techniques: Direct Batch Reports, Live Exploration, and Indirect Batch Analysis. Hands-on labs are included using the free version of Jaspersoft and BigInsights (IBM's Hadoop distribution).

SQL Access on Hadoop (Big SQL v4)

Big SQL is another tool to work with your Hadoop data. Big SQL provides a common and familiar syntax for those that are already using SQL with their relational data to work with their big data. There is no learning curve here. Big SQL is about applying SQL to your existing data – there are no proprietary storage formats.

This course will help you understand the Big SQL architecture and show the different methods for working with Big SQL. The course will list and explain the Big SQL data types and show how to create Big SQL schemas and table. The course will also cover the different file formats supported by Big SQL such as parquet and ORC.

In the lab exercises, you will get a chance to learn how to connect to the Big SQL server and load in some sample data. Then you will see how easy it is to use Big SQL to work with the data.

Big Data University has been chosen by IBM as one of the issuers of badges as part of the IBM Open Badge program. Share your achievements through LinkedIn, Facebook, Twitter, and more!

Big Data University leverages the services of Pearson VUE Acclaim to assist in the administration of the IBM Open Badge program.  By enrolling into this course, you agree to Big Data University sharing your details with Pearson VUE Acclaim for the strict use of issuing your badge upon completion of the badge criteria.

This course was tested and validated for v4 of the QSE Docker Image.

Please download the v4 Docker Image to complete the lab exercises.

https://www-01.ibm.com/marketing/iwm/iwm/web/reg/download.do?source=swg-ibmibqsevmw&S_PKG=ov14336&S_TACT=109HF71W&S_CMP=BigI_BDUBD001V2EN&lang=en_US

 

Using HBase for Real-time Access to your Big Data - Version 2

This course introduces you to HBase, the open source Hadoop database used for random, real-time read/writes to your Big Data. The course will cover fundamental concepts of HBase such as HBase system and architecture, the use of the Client API to perform data operations on HBase, the various HBase client used to communicate with HBase, how to integrate HBase with a MapReduce job, and more!

Big Data University has been chosen by IBM as one of the issuers of badges as part of the IBM Open Badge program. Share your achievements through LinkedIn, Facebook, Twitter, and more!

Big Data University leverages the services of Pearson VUE Acclaim to assist in the administration of the IBM Open Badge program.  By enrolling into this course, you agree to Big Data University sharing your details with Pearson VUE Acclaim for the strict use of issuing your badge upon completion of the badge criteria.

The labs for this course were recently updated and tested using BigInsights Quick Start 4.0

 

If you are looking for the older version of this course, click here.

Moving Data into Hadoop

This course describes techniques for moving data into Hadoop. There are a variety of ways to get data into Hadoop from simple Hadoop shell commands to more sophisticated processes. Several techniques are presented but two, Sqoop and Flume, are covered in greater detail.

Big Data University has been chosen by IBM as one of the issuers of badges as part of the IBM Open Badge program. Share your achievements through LinkedIn, Facebook, Twitter, and more! See more at: http://bigdatauniversity.com/bdu-wp/bdu-course/moving-data-into-hadoop/

Big Data University leverages the services of Pearson VUE Acclaim to assist in the administration of the IBM Open Badge program.  By enrolling into this course, you agree to Big Data University sharing your details with Pearson VUE Acclaim for the strict use of issuing your badge upon completion of the badge criteria.

The labs for this course were recently updated and tested using BigInsights Quick Start 4.1

 

Introduction to Pig

Pig was initially developed at Yahoo! to allow people using Hadoop® to focus more on analyzing large data sets and spend less time having to write mapper and reducer programs. Like actual pigs, who eat almost anything, the Pig programming language is designed to handle any kind of data—hence the name!

Pig is made up of two components: the first is the language itself, which is called PigLatin, and the second is a runtime environment where PigLatin programs are executed.

This course begins with an overview of Pig. It explains the data structures supported by Pig and how to access data using the LOAD operator. The next lesson covers the Pig relational operators. This is followed by the Pig evaluation functions, as well as math and string functions.

Big Data University has been chosen by IBM as one of the issuers of badges as part of the IBM Open Badge program. Share your achievements through LinkedIn, Facebook, Twitter, and more!

Big Data University leverages the services of Pearson VUE Acclaim to assist in the administration of the IBM Open Badge program.  By enrolling into this course, you agree to Big Data University sharing your details with Pearson VUE Acclaim for the strict use of issuing your badge upon completion of the badge criteria.

The labs for this course were recently updated and tested using BigInsights Quick Start 4.1

 

Developing Distributed Applications Using ZooKeeper

ZooKeeper is a coordination service that provides sets of tools to help manage distributed applications. Building distributed applications comes with challenges that are intrinsic to distributed applications itself, which includes maintaining configuration information, groups, naming, and synchronization. ZooKeeper allows developers to handle these challenges to create robust distributed applications. ZooKeeper comes with a set of guarantees: sequential consistency, atomicity, single system image, reliability, and timeliness.  This course will help you learn how to use ZooKeeper to keep your Big Data applications running smoothly despite the challenges of operating in a complex distributed environment.

Big Data University has been chosen by IBM as one of the issuers of badges as part of the IBM Open Badge program. Share your achievements through LinkedIn, Facebook, Twitter, and more! See more at: http://bigdatauniversity.com/bdu-wp/bdu-course/developing-distributed-applications-using-zookeeper/

Big Data University leverages the services of Pearson VUE Acclaim to assist in the administration of the IBM Open Badge program.  By enrolling into this course, you agree to Big Data University sharing your details with Pearson VUE Acclaim for the strict use of issuing your badge upon completion of the badge criteria.

The labs for this course were recently updated and tested using BigInsights Quick Start 4.0

 

Hadoop Fundamentals I

Hadoop Fundamentals I teaches you the basics of Apache Hadoop and the concept of Big Data. This Hadoop course is entirely free, and so are the materials and software provided. This is the third version of our most popular Hadoop course. Since Version 2 was published, several more detailed courses covering topics such as MapReduce, Hive, HBase, Pig, Oozie, and Zookeeper have been added.  We recommend you start here and then dig deeper into the specific Hadoop technology you wish to learn more about.

Learn Hadoop

This Hadoop course is designed to give you a basic understanding of key Big Data technologies. In this Hadoop tutorial, we first begin with describing what Big Data is and the need for Hadoop to be able to process that data in a timely manner. This is followed by describing the Hadoop architecture and how to work with the Hadoop Distributed File System (HDFS) both from the command line and using the BigInsights Console that is supplied with InfoSphere BigInsights.

This Hadoop course was recently tested and updated for BigInsights Quick Start 4.1 (IBM's edition of Hadoop).


 

 Explorer Badge Earn an IBM Badge and Share it on Social Media!

By completing this course and passing the assessment, you will earn an IBM Badge! IBM's open badges provide an online representation of skills and achievements, allowing you to share your credential to LinkedIn, Facebook and Twitter. Or download and add to your badge to your e-mails and websites.

When someone clicks on your badge, they link to metadata describing your qualifications along with the process required to earn them. This additional level of information helps tell a more complete and compelling story of your achievements!

Big Data University has been chosen by IBM as one of the issuers of badges as part of the IBM Open Badge program. Share your achievements through LinkedIn, Facebook, Twitter, and more!

Big Data University leverages the services of Pearson VUE Acclaim to assist in the administration of the IBM Open Badge program.  By enrolling in this Hadoop course, you agree to Big Data University sharing your details with Pearson VUE Acclaim for the strict use of issuing your badge upon completion of the badge criteria.

 

Moving Data into Hadoop

This course describes techniques for moving data into Hadoop. There are a variety of ways to get data into Hadoop from simple Hadoop shell commands to more sophisticated processes. Several techniques are presented but two, Sqoop and Flume, are covered in greater detail.

Big Data University has been chosen by IBM as one of the issuers of badges as part of the IBM Open Badge program. Share your achievements through LinkedIn, Facebook, Twitter, and more! See more at: http://bigdatauniversity.com/bdu-wp/bdu-course/moving-data-into-hadoop/

Big Data University leverages the services of Pearson VUE Acclaim to assist in the administration of the IBM Open Badge program.  By enrolling into this course, you agree to Big Data University sharing your details with Pearson VUE Acclaim for the strict use of issuing your badge upon completion of the badge criteria.

The labs for this course were recently updated and tested using BigInsights Quick Start 4.1

 

SQL Access on Hadoop (Big SQL v4)

Big SQL is another tool to work with your Hadoop data. Big SQL provides a common and familiar syntax for those that are already using SQL with their relational data to work with their big data. There is no learning curve here. Big SQL is about applying SQL to your existing data – there are no proprietary storage formats.

This course will help you understand the Big SQL architecture and show the different methods for working with Big SQL. The course will list and explain the Big SQL data types and show how to create Big SQL schemas and table. The course will also cover the different file formats supported by Big SQL such as parquet and ORC.

In the lab exercises, you will get a chance to learn how to connect to the Big SQL server and load in some sample data. Then you will see how easy it is to use Big SQL to work with the data.

Big Data University has been chosen by IBM as one of the issuers of badges as part of the IBM Open Badge program. Share your achievements through LinkedIn, Facebook, Twitter, and more!

Big Data University leverages the services of Pearson VUE Acclaim to assist in the administration of the IBM Open Badge program.  By enrolling into this course, you agree to Big Data University sharing your details with Pearson VUE Acclaim for the strict use of issuing your badge upon completion of the badge criteria.

This course was tested and validated for v4 of the QSE Docker Image.

Please download the v4 Docker Image to complete the lab exercises.

https://www-01.ibm.com/marketing/iwm/iwm/web/reg/download.do?source=swg-ibmibqsevmw&S_PKG=ov14336&S_TACT=109HF71W&S_CMP=BigI_BDUBD001V2EN&lang=en_US

 

Controlling Hadoop Jobs using Oozie

This course gives an overview of Oozie and how it is able to control Hadoop jobs. It begins with looking at the components required to code a workflow as well as optional components such as case statements, forks, and joins. That is followed by using the Oozie coordinator in order to schedule a workflow. One of the things that the student will quickly notice is that workflows are coded using XML which tends to get verbose. The last lesson of this course shows a graphical workflow editor tool designed to simplify the work in generating a workflow.

Big Data University has been chosen by IBM as one of the issuers of badges as part of the IBM Open Badge program. Share your achievements through LinkedIn, Facebook, Twitter, and more! See more at: http://bigdatauniversity.com/bdu-wp/bdu-course/controlling-hadoop-jobs-with-oozie/

Big Data University leverages the services of Pearson VUE Acclaim to assist in the administration of the IBM Open Badge program.  By enrolling into this course, you agree to Big Data University sharing your details with Pearson VUE Acclaim for the strict use of issuing your badge upon completion of the badge criteria.

This course was tested and validated for v3 of the QSE VM.

Please download the v3 VM to complete the lab exercises.

https://www14.software.ibm.com/webapp/iwm/web/preLogin.do?source=swg-beta-iibob

Introduction to MapReduce Programming

This course explains the use of the mapper and reducer classes that make up a MapReduce application and where they get invoked in the application process. The student is walked through the development of a simple MapReduce application using a development environment based on Eclipse. Then the student goes through the same process but using a MapReduce development wizard to speed up development

Audience: Hadoop programmer beginners

Time to complete: 5 hours

Available in: English

Big Data University has been chosen by IBM as one of the issuers of badges as part of the IBM Open Badge program. Share your achievements through LinkedIn, Facebook, Twitter, and more!

Big Data University leverages the services of Pearson VUE Acclaim to assist in the administration of the IBM Open Badge program.  By enrolling into this course, you agree to Big Data University sharing your details with Pearson VUE Acclaim for the strict use of issuing your badge upon completion of the badge criteria.

This course was recently tested and updated for BigInsights Quick Start 4.0

http://www-01.ibm.com/software/data/infosphere/biginsights/quick-start/

 

Query languages for Hadoop

This course teaches you how to work with query and scripting languages such as Hive, Pig, and Jaql. These query and scripting languages simplify the development of map-reduce programs in Hadoop for developers with no Java expertise. Emphasis will be on Jaql.

Introduction to Pig

Pig was initially developed at Yahoo! to allow people using Hadoop® to focus more on analyzing large data sets and spend less time having to write mapper and reducer programs. Like actual pigs, who eat almost anything, the Pig programming language is designed to handle any kind of data—hence the name!

Pig is made up of two components: the first is the language itself, which is called PigLatin, and the second is a runtime environment where PigLatin programs are executed.

This course begins with an overview of Pig. It explains the data structures supported by Pig and how to access data using the LOAD operator. The next lesson covers the Pig relational operators. This is followed by the Pig evaluation functions, as well as math and string functions.

Big Data University has been chosen by IBM as one of the issuers of badges as part of the IBM Open Badge program. Share your achievements through LinkedIn, Facebook, Twitter, and more!

Big Data University leverages the services of Pearson VUE Acclaim to assist in the administration of the IBM Open Badge program.  By enrolling into this course, you agree to Big Data University sharing your details with Pearson VUE Acclaim for the strict use of issuing your badge upon completion of the badge criteria.

The labs for this course were recently updated and tested using BigInsights Quick Start 4.1

 

Using HBase for Real-time Access to your Big Data - Version 2

This course introduces you to HBase, the open source Hadoop database used for random, real-time read/writes to your Big Data. The course will cover fundamental concepts of HBase such as HBase system and architecture, the use of the Client API to perform data operations on HBase, the various HBase client used to communicate with HBase, how to integrate HBase with a MapReduce job, and more!

Big Data University has been chosen by IBM as one of the issuers of badges as part of the IBM Open Badge program. Share your achievements through LinkedIn, Facebook, Twitter, and more!

Big Data University leverages the services of Pearson VUE Acclaim to assist in the administration of the IBM Open Badge program.  By enrolling into this course, you agree to Big Data University sharing your details with Pearson VUE Acclaim for the strict use of issuing your badge upon completion of the badge criteria.

The labs for this course were recently updated and tested using BigInsights Quick Start 4.0

 

If you are looking for the older version of this course, click here.

Hadoop Reporting and Analysis

This course teaches you how to build your own Hadoop/Big Data reports over relevant Hadoop technologies such as HBase, Hive, etc. It provides guidelines to choose between various reporting techniques: Direct Batch Reports, Live Exploration, and Indirect Batch Analysis. Hands-on labs are included using the free version of Jaspersoft and BigInsights (IBM's Hadoop distribution).

Accessing Hadoop Data Using Hive

Writing map/reduce programs to analyze your Big Data can get complex. Hive can help make querying your data much easier. Apache Hive, first created at Facebook, is a data warehouse system for Hadoop that facilitates easy data summarization, ad-hoc queries, and the analysis of large datasets stored in Hadoop compatible file systems. Hive provides a mechanism to project structure onto this data and query the data using a SQL-like language called HiveQL. This course will teach you how to get started with Hive 0.12 using IBM BigInsights 2.1.2.

Big Data University has been chosen by IBM as one of the issuers of badges as part of the IBM Open Badge program. Share your achievements through LinkedIn, Facebook, Twitter, and more!

Big Data University leverages the services of Pearson VUE Acclaim to assist in the administration of the IBM Open Badge program.  By enrolling into this course, you agree to Big Data University sharing your details with Pearson VUE Acclaim for the strict use of issuing your badge upon completion of the badge criteria.

The labs for this course were recently updated and you can now take it in our virtual lab environment in the cloud.

If you are looking for the older version of the course, visit here.

Introduction to Jaql - v1 (old version)

This course is now archived.

You can still enroll, but you are looking at old possibly obselete material.

This course provides an overview of Jaql. It describes the JSON data format and does a simple comparison between Jaql, Pig and Hive. The second lesson starts to build a foundation for the Jaql language. After setting a foundation, next the Jaql core operators are introduced.  Then there is a simple review of MapReduce and how this applies to Jaql.  This is followed by showing how SQL can be used as Jaql operators.  And finally, the input/output capabilities of Jaql are covered.

 Explorer Badge Earn an IBM Badge and Share it in Social Media!

By completing this course and passing the assessment, you will earn an IBM Badge! IBM's open badges provide an online representation of skills and achievements, allowing you to share your credential to LinkedIn, Facebook and Twitter. Or download and add to your badge to your e-mails and websites. When someone clicks on your badge, they link to metadata describing your qualifications along with the process required to earn them. This additional level of information helps tell a more complete and compelling story of your achievements!

Big Data University has been chosen by IBM as one of the issuers of badges as part of the IBM Open Badge program. Share your achievements through LinkedIn, Facebook, Twitter, and more! See more at: http://bigdatauniversity.com/bdu-wp/bdu-course/414/

Big Data University leverages the services of Pearson VUE Acclaim to assist in the administration of the IBM Open Badge program.  By enrolling into this course, you agree to Big Data University sharing your details with Pearson VUE Acclaim for the strict use of issuing your badge upon completion of the badge criteria.

This course was tested and validated for v3 of the QSE VM.

Please download the v3 VM to complete the lab exercises.

https://www14.software.ibm.com/webapp/iwm/web/preLogin.do?source=swg-beta-iibob

Developing Distributed Applications Using ZooKeeper

ZooKeeper is a coordination service that provides sets of tools to help manage distributed applications. Building distributed applications comes with challenges that are intrinsic to distributed applications itself, which includes maintaining configuration information, groups, naming, and synchronization. ZooKeeper allows developers to handle these challenges to create robust distributed applications. ZooKeeper comes with a set of guarantees: sequential consistency, atomicity, single system image, reliability, and timeliness.  This course will help you learn how to use ZooKeeper to keep your Big Data applications running smoothly despite the challenges of operating in a complex distributed environment.

Big Data University has been chosen by IBM as one of the issuers of badges as part of the IBM Open Badge program. Share your achievements through LinkedIn, Facebook, Twitter, and more! See more at: http://bigdatauniversity.com/bdu-wp/bdu-course/developing-distributed-applications-using-zookeeper/

Big Data University leverages the services of Pearson VUE Acclaim to assist in the administration of the IBM Open Badge program.  By enrolling into this course, you agree to Big Data University sharing your details with Pearson VUE Acclaim for the strict use of issuing your badge upon completion of the badge criteria.

The labs for this course were recently updated and tested using BigInsights Quick Start 4.0

 

Big Data University also offers a vast number of courses on various other analytics, big data, and data science topics. View our complete course catalog.

What is Big Data University?

An IBM community initiative, Big Data University is the world’s best education on big data. Learn about big data, data science and analytic technologies from experts using hands-on exercises and interactive videos. Best of all, it’s completely free.