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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
Testimonials
I found this course gave a great overview and quickly touched some areas I wasn't even considering.
- Veterans Affairs Canada
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
Ambari management tool. Ability to discuss practical Hadoop experiences from other business case than telecom.
- Ericsson
Lot of hands-on exercises.
- Ericsson
It was very hands-on, we spent half the time actually doing things in Cloudera/Hadoop, 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
Many hands-on sessions.
Jacek Pieczątka
Big competences of Trainer
Grzegorz Gorski
Trainer give reallive Examples
Simon Hahn
practical things of doing, also theory was served good by Ajay
Dominik Mazur - Capgemini Polska Sp. z o.o.
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 like how he was able to elaborate about Nifi and how powerful it is. You can basically use it for any infrastructure and use many different computer languages. Also i was glad we were able to fix the Nifi cert renewal issue we were having with the Truststore.
Joachim Martin - Jacob Jaskolka, BHG Financial
general knowledge and the possibilities that the training offered in terms on the tool.
Nalfis Tobar - Jacob Jaskolka, BHG Financial
The working sessions where we worked on real issues we are trying to solve and built out solutions together.
Jacob Jaskolka, BHG Financial
Hands on
Isaac Hastings, New Zealand Defence Force
Hands on.
Dwayne McDonald - Isaac Hastings, New Zealand Defence Force
Virtual environment working well and trainer positive attitude
Wojciech Lukawski - Orsted Polska sp. z o.o.
I liked trainer's attitude and choice of examples. Trainer was very willing to help and answer questions. Trainer tried to go with as many examples as possible, even though we were short on time.
Waldemar Sobiecki - Orsted Polska sp. z o.o.
Excersises, working with actual nifi. It was working very well - working on live, virtual machines.
Orsted Polska sp. z o.o.
The trainer is very polite, tolerant, helpful. I was not afraid to ask for help when I couldn't handle something myself. I like that most of the exercises we did together without splitting into separate groups or by ourselves. That way we could ask questions on regular basis.
Elżbieta Doniek - Orsted Polska sp. z o.o.
Very practical, a lot of exercises during the training
Andrii Feshchenko - Orsted Polska sp. z o.o.
Developing a Custom Apache Nifi Processor using JSON provided a useful demostration of how we can use NiFi to transform data before forwarding to our analytical tools.
Kenny MacLeod - MOD A BLOCK
James answered my every question, was extremely patient and explained me everything. NIFI was Greek and latin for me and i have learnt what was a processor, flunnel and the root process from Beginner level to Advanced Level.
Firdous Hashim Ali - MOD A BLOCK
That I had it in the first place.
Peter Scales - CACI Ltd
Work exercises with cluster to see performance of nodes across cluster and extended functionality
CACI Ltd
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
The trainer was always open for questions and willing to answer and explain everything. He seems to have very good and deep knowledge of what he is teaching. We were able to focus more on topics that might bring value for us since we were only two students.
DEVK Deutsche Eisenbahn Versicherung Sach- und HUK-Versicherungsverein a.G.
- The trainer is open to questions, and the training is in interactive way. I like this point. - The trainer was able to efficiently manage the participation of remote persons who weren't able to be present in the office.
Arnaud CAPITAINE, Adikteev
It was interesting, got the chance to learn more about machine learning and Spark stack of technologies.
Edina Kiss, Accenture Industrial SS
The fact that we were able to take with us most of the information/course/presentation/exercises done, so that we can look over them and perhaps redo what we didint understand first time or improve what we already did.
Raul Mihail Rat - Edina Kiss, Accenture Industrial SS
I liked that it managed to lay the foundations of the topic and go to some quite advanced exercises. Also provided easy ways to write/test the code.
Ionut Goga - Edina Kiss, Accenture Industrial SS
The live examples
Ahmet Bolat - Edina Kiss, Accenture Industrial SS
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