Course Outline

  • Introduction
    • Hadoop history, concepts
    • Ecosystem
    • Distributions
    • High level architecture
    • Hadoop myths
    • Hadoop challenges (hardware / software)
    • Labs: discuss your Big Data projects and problems
  • Planning and installation
    • Selecting software, Hadoop distributions
    • Sizing the cluster, planning for growth
    • Selecting hardware and network
    • Rack topology
    • Installation
    • Multi-tenancy
    • Directory structure, logs
    • Benchmarking
    • Labs: cluster install, run performance benchmarks
  • HDFS operations
    • Concepts (horizontal scaling, replication, data locality, rack awareness)
    • Nodes and daemons (NameNode, Secondary NameNode, HA Standby NameNode, DataNode)
    • Health monitoring
    • Command-line and browser-based administration
    • Adding storage, replacing defective drives
    • Labs: getting familiar with HDFS command lines
  • Data ingestion
    • Flume for logs and other data ingestion into HDFS
    • Sqoop for importing from SQL databases to HDFS, as well as exporting back to SQL
    • Hadoop data warehousing with Hive
    • Copying data between clusters (distcp)
    • Using S3 as complementary to HDFS
    • Data ingestion best practices and architectures
    • Labs: setting up and using Flume, the same for Sqoop
  • MapReduce operations and administration
    • Parallel computing before mapreduce: compare HPC vs Hadoop administration
    • MapReduce cluster loads
    • Nodes and Daemons (JobTracker, TaskTracker)
    • MapReduce UI walk through
    • Mapreduce configuration
    • Job config
    • Optimizing MapReduce
    • Fool-proofing MR: what to tell your programmers
    • Labs: running MapReduce examples
  • YARN: new architecture and new capabilities
    • YARN design goals and implementation architecture
    • New actors: ResourceManager, NodeManager, Application Master
    • Installing YARN
    • Job scheduling under YARN
    • Labs: investigate job scheduling
  • Advanced topics
    • Hardware monitoring
    • Cluster monitoring
    • Adding and removing servers, upgrading Hadoop
    • Backup, recovery and business continuity planning
    • Oozie job workflows
    • Hadoop high availability (HA)
    • Hadoop Federation
    • Securing your cluster with Kerberos
    • Labs: set up monitoring
  • Optional tracks
    • Cloudera Manager for cluster administration, monitoring, and routine tasks; installation, use. In this track, all exercises and labs are performed within the Cloudera distribution environment (CDH5)
    • Ambari for cluster administration, monitoring, and routine tasks; installation, use. In this track, all exercises and labs are performed within the Ambari cluster manager and Hortonworks Data Platform (HDP 2.0)

Requirements

  • comfortable with basic Linux system administration
  • basic scripting skills

Knowledge of Hadoop and Distributed Computing is not required, but will be introduced and explained in the course.

Lab environment

Zero Install : There is no need to install hadoop software on students’ machines! A working hadoop cluster will be provided for students.

Students will need the following
  21 Hours
 

Need help picking the right course?
Call us +971 4871 6715

Testimonials

The fact that all the data and software was ready to use on an already prepared VM, provided by the trainer in external disks.

vyzVoice

I mostly liked the trainer giving real live Examples.

Simon Hahn

I genuinely enjoyed the big competences of Trainer.

Grzegorz Gorski

I genuinely enjoyed the many hands-on sessions.

Jacek Pieczątka

It was very hands-on, we spent half the time actually doing things in Clouded/Hardtop, running different commands, checking the system, and so on. The extra materials (books, websites, etc. .) were really appreciated, we will have to continue to learn. The installations were quite fun, and very handy, the cluster setup from scratch was really good.

Ericsson

Lot of hands-on exercises.

- Ericsson

Ambari management tool. Ability to discuss practical Hadoop experiences from other business case than telecom.

- Ericsson

The VM I liked very much The Teacher was very knowledgeable regarding the topic as well as other topics, he was very nice and friendly I liked the facility in Dubai.

Safar Alqahtani - Elm Information Security

Training topics and engagement of the trainer

- Izba Administracji Skarbowej w Lublinie

Communication with people attending training.

Andrzej Szewczuk - Izba Administracji Skarbowej w Lublinie

practical things of doing, also theory was served good by Ajay

Dominik Mazur - Capgemini Polska Sp. z o.o.

Exercises

- Capgemini Polska Sp. z o.o.

usefulness of exercises

- Algomine sp.z.o.o sp.k.

I found the training good, very informative....but could have been spread over 4 or 5 days, allowing us to go into more details on different aspects.

- Veterans Affairs Canada

I really enjoyed the training. Anton has a lot of knowledge and laid out the necessary theory in a very accessible way. It is great that the training was a lot of interesting exercises, so we have been in contact with the technology we know from the very beginning.

Szymon Dybczak - Algomine sp.z.o.o sp.k.

I found this course gave a great overview and quickly touched some areas I wasn't even considering.

- Veterans Affairs Canada

I genuinely liked work exercises with cluster to see performance of nodes across cluster and extended functionality.

CACI Ltd

The trainers in depth knowledge of the subject

CACI Ltd

Ajay was a very experienced consultant and was able to answer all our questions and even made suggestions on best practices for the project we are currently engaged on.

CACI Ltd

That I had it in the first place.

Peter Scales - CACI Ltd

The NIFI workflow excercises

Politiets Sikkerhetstjeneste

answers to our specific questions

MOD BELGIUM

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