what is Big Data/ 4 V's of Big Data - answer-a collection of data sets so large and complex that your legacy IT systems cannot handle them. (Terabytes, petabytes, exabytes of data). Data is considered 'Big Data' if it satisfies the v's
Volume - size/scale of data
Variety - of data, data is of...
Data Science - Hadoop Ecosystem & Security
what is Big Data/ 4 V's of Big Data - answer-a collection of data sets so large and
complex that your legacy IT systems cannot handle them. (Terabytes, petabytes,
exabytes of data). Data is considered 'Big Data' if it satisfies the v's
Volume - size/scale of data
Variety - of data, data is often unstructured or semi-structured. The different forms of
data
Velocity - speed of processing data
Veracity - (extra added by IBM) uncertainty of the quality of data; analysis of streaming
data
what is velocity? - answer-speed of data processing
what is geodata? - answer-geologic data, like GPS coordinates
what is graph data structure? - answer-connected nodes with relations between them,
like friends on Facebook
what model/algorithm is not used in data science? - answer-graph detection
What license type is the Hadoop core using? - answer-Apache license
Projects under the apache umbrella are released under the apache license
where was Hadoop invented? - answer-Yahoo!
Hadoop was invented at Yahoo! and inspired by Google's GFS (Google File System) and
Google's MapReduce papers
select the correct ansewr - answer-Hadoop scales horizontally and will have a lower cost
per GB when storing a lot of data
which Hadoop distribution is fully open source? - answer-Apache Hadoop and
Hortonworks
what is the management frontend in Hortonworks called? - answer-Ambari
What application / service stores the data on the hadoop cluster? - answer-HDFS
Is the Namenode running on a master node or on worker node? - answer-Master Node
Is the NodeManager running on a master node or on worker node? - answer-worker node
,Vagrant - answer-can create and configure virtual development environments
- lightweight
- reproducible
- portable
- wrapper around VirtualBox, KVM, AWS, Docker, VMWare, Hyper-V
create identical dev environments for operations and developers
disposable environments
to launch a 3 node cluster - answer-cmd -> folder where vagrant is downloaded -> type
$ vagrant up node1 node2 node3
my case: c:\HashiCorp\Vagrant>
* my experience though, go to the project folder you create, type: $ vagrant init
then the above
suspend machines - answer-(when you don't need it anymore, or unsuspend when you
want to use again)
$ vagrant suspend
remove machines and all data - answer-$ vagrant destroy
vagrantfile - answer-- a project has a vagrantfile with the configuration
- it marks the root directory of your project
- it describes the kind of machine and resources needed for the project to run and what
software to install
to change network settings, memory or CPU, open the Vagrantfile in notepad (or equiv)
and make changes
Ambari-server - answer-on node 1 it installs and configures all the nodes
things to install - answer-VirtualBox
Vagrant
get file from web in cmd - answer-wget http://github.com/wardviaene/hado
op-ops-course/archive/master.zip
HDFS (Hadoop Distributed File System) - answer-when data is uploaded here, it is
divided over small blocks and distributed over the cluster; the data part of Hadoop;
its server on a typical machine is called a DataNode
, *to upload file to hdfs
hadoop fs -put
- puts metadata in NameNode, sends lists of IP adresses of DataNodes
-each DataNode holds copies of data (3x by default)
- hadoop interacts with this with shell commands
- data transfer rate is very high
- infinitely scalable
- fits well with replication to provide fault tolerance and availability
DataNode - answer-sends blockrepot & heartbeats to the NameNode. These hold
copies/backups of the information being stored
How to upload file to HDFS - answer-cmd -> project folder -> $ vagrant ssh node1 [logs
into node1] -> hadoop fs -put /vagrant/data/salaries/csv salaries.csv
check size/block amount of file - answer-ls -ahl /vagrant/data/salaries.csv
where 16M is 16 megabytes, too small to separate into multiple blocks
look at more details of node - answer-$ hdfs fsck /user/vagrant/salaries.csv
this tells you more info, including how many blocks it contains
Hadoop - answer-the framework to process and analyze Big Data; a framework that
allows for the distributed processing of large data sets across clusters of computers
using simple programming model
- supports the huge volume of data
- stores data efficiently and reliably
- data loss is unavoidable. the proposed solution gives good recovery strategies
- solution should be horizontally scalable as the data grows
- should be cost-effective
- minimize the learning code. It should be easy for the programmer and non-
programmers
- scalable (same program runs on 1, 1000, or 4000 machines); scales linearly
- simple APIs
- petabytes of data
- high availability
- scalability
- fault tolerant
- economic
set of Open Source Projects
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