Course Outline

1.1Hadoop Concepts

1.1.1HDFS

  • The Design of HDFS
  • Command line interface
  • Hadoop File System

1.1.2Clusters

  • Anatomy of a cluster
  • Mater Node / Slave node
  • Name Node / Data Node

1.2Data Manipulation

1.2.1MapReduce detailed

  • Map phase
  • Reduce phase
  • Shuffle

1.2.2Analytics with Map Reduce

  • Group-By with MapReduce
  • Frequency distributions and sorting with MapReduce
  • Plotting results (GNU Plot)
  • Histograms with MapReduce
  • Scatter plots with MapReduce
  • Parsing complex datasets
  • Counting with MapReduce and Combiners
  • Build reports

 

1.2.3Data Cleansing

  • Document Cleaning
  • Fuzzy string search
  • Record linkage / data deduplication
  • Transform and sort event dates
  • Validate source reliability
  • Trim Outliers

1.2.4Extracting and Transforming Data

  • Transforming logs
  • Using Apache Pig to filter
  • Using Apache Pig to sort
  • Using Apache Pig to sessionize

1.2.5Advanced Joins

  • Joining data in the Mapper using MapReduce
  • Joining data using Apache Pig replicated join
  • Joining sorted data using Apache Pig merge join
  • Joining skewed data using Apache Pig skewed join
  • Using a map-side join in Apache Hive
  • Using optimized full outer joins in Apache Hive
  • Joining data using an external key value store

1.3Performance Diagnosis and Optimization Techniques

  • Map
    • Investigating spikes in input data
    • Identifying map-side data skew problems
    • Map task throughput
    • Small files
    • Unsplittable files
  • Reduce
    • Too few or too many reducers
    • Reduce-side data skew problems
    • Reduce tasks throughput
    • Slow shuffle and sort
  • Competing jobs and scheduler throttling
  • Stack dumps & unoptimized code
  • Hardware failures
  • CPU contention
  • Tasks
    • Extracting and visualizing task execution times
    • Profiling your map and reduce tasks
  • Avoid the reducer
  • Filter and project
  • Using the combiner
  • Fast sorting with comparators
  • Collecting skewed data
  • Reduce skew mitigation

Requirements

Attendees are not required to have any specific skill as the training is focused on end users skills for both the administration and the manipulation of data under Apache Hadoop
  21 Hours
 

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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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