7 Best Whiteboard Animation Software (2016) For Windows And Mac PC

Best and easy to use whiteboard animation software for Microsoft Windows and Mac OC X operating systems. This list of 7 best doodle, presentation, explainer and whiteboard animation programs contains both desktop whiteboard animation software and web based whiteboard animation services/software. 

7 Best Alternatives to VideoScribe (2016) For Windows And Mac PC

All whiteboard animation software except 1 included in this list also can be used as a best alternative to VideoScribe. If you are looking for cheaper and affordable VideoScribe alternatives. All VideoScribe alternates are no less than VideoScribe in any way. 

The list of best whiteboard animation software and best VideoScribe alternatives contains

1)-Explaindio Video Creator (Best available whiteboard animation software for Windows and Mac OS X) (Great alternative to VideoScribe cheaper than VideoScribe)

2)-VideoScribe (Best available whiteboard animation software for Windows and Mac OS X) 

3)-Easy Sketch Pro (Best available whiteboard animation software for Windows and Mac OS X) (Great alternative to VideoScribe cheaper than VideoScribe)

4)-TTS Sketch Maker (Best available whiteboard animation software for Windows and Mac OS X) (Great alternative to VideoScribe cheaper than VideoScribe)

5)-VideoMakerFX (Best available whiteboard animation software for Windows and Mac OS X) (Great alternative to VideoScribe cheaper than VideoScribe)

6)-GoAnimate (Best available whiteboard animation software for Windows and Mac OS X) (Great alternative to VideoScribe not cheaper than VideoScribe)

7)-Rawshorts.com (Best available whiteboard animation software for Windows and Mac OS X) (Great alternative to VideoScribe not cheaper than VideoScribe)


The list of 7 best doodle maker, presentation explainer and animation video makers for Mac and Windows computer/laptop.

I hope this list of 7 best and available scribe, doodle and whiteboard animation software will end your search and you will find it informative and helping. Please do not forget to let me know If you use or know about any other good and available whiteboard animation software. You can use the comment section to give your feedback and suggestions. 

Stay tuned, Stay blessed and Do not forget to comment, subscribe, like and share. 

7 Best Whiteboard Animation Software (2016) For Windows And Mac PC

7 Best Alternatives to VideoScribe (2016) For Windows And Mac PC

HIVE 1.2.0 INSTALLATION ON HADOOP 2.7.1 SINGLE NODE CLUSTER

PREREQUISITES

1) Ubuntu 12.4 or higher

2) Sun Java 6 or higher

3) The system must have hadoop installed (hadoop version 2.7.1)and configured.

Note :- Hive can run in  Linux and Windows environment. Mac (OS X ) is a commonly used development environment. 

INSTALLATION STEPS

Step1 :sudo tar -zxzf apache-hive-1.2.1-bin.tar.gz

Step2 :sudo mv apache-hive-1.2.0-bin  /usr/local/hive

change this ~/.bashrc in hadoop user 

login in hadoop user using this command

su hadoop-user(here your user name as per your system)

then it will ask for password write it the password and after do further process. 

Step3 :sudo nano ~/.bashrc

Step4: add this in ~/.bashrc file and save

export HIVE_HOME=/usr/local/hive/apache-hive-1.2.0-bin/

export HIVE_CONF_DIR=$HIVE_HOME/conf

export HIVE_CLASS_PATH=$HIVE_CONF_DIR

export PATH=$HIVE_HOME/bin:$PATH

Step5 : source ~/.bashrc

Step6 :hive

Then Start first hadoop using start-all.sh command then start hive just typing hive command and you can see like this

hadoop-user@ubuntu:~$ hive

Logging initialized using configuration in jar:file:/usr/local/hive/apache-hive-1.2.1-bin/lib/hive-common-1.2.1.jar!/hive-log4j.properties
Java HotSpot(TM) Server VM warning: You have loaded library /usr/local/hadoop-2.7.1/lib/native/libhadoop.so.1.0.0 which might have disabled stack guard. The VM will try to fix the stack guard now.
It's highly recommended that you fix the library with 'execstack -c <libfile>', or link it with '-z noexecstack'.


hive> 

Step By Step Mapreduce Example run on hadoop 2.7.1 with video

Step 1: open terminal using ctrl+alt+T

Step 2: go to hadoop user using

hadoopashish@ubuntu:su hadoop-user

Step 3: Start all Hadoop using below command

hadoop-user@ubantu : start-all.sh

Step 4: Make new Data Directory on Desktop and create on text file in side Data folder which is on desktop

Desktop/data/text.txt

Step 5:After start hadoop just type below text

hadoop-user@ubantu : jps

6385 ResourceManager

6146 SecondaryNameNode

5637 NameNode

6696 NodeManager

5866 DataNode

12510 Jps

Step 6:after doing this You have to go on below path

hadoop-user@ubantu : cd   /usr/local/hadoop/

or which path inside your Directory Mine is

hadoop-user@ubantu : cd   /usr/local/hadoop-2.7.1/

Step 7 :after going in this folder you have to type

hadoop-user@ubantu : cd /usr/local/hadoop-2.7.1 $ bin/hdfs dfs -mkdir /user

after this press enter

hadoop-user@ubantu : cd /usr/local/hadoop-2.7.1 $ bin/hdfs dfs -mkdir /user/ashish/

after this press enter

Step 8 : next step to open web browser to veryfying this user will be created or not so just open web browser and type in navigation bar

localhost:50070/

then press enter.You are seeing hadoop window inside that you have to go utilities-->Browse the file System, In side that you can see Browse Directory list.just click on GO Button and You can see that below user directory then select that user directory u can see another directory which one we have created ahead,In my case i see ashish directory name I am seeing.

then verification is done.

Step 9: now we are give the input which is stored on desktop/data/text.txt

hadoop-user@ubuntu:/usr/local/hadoop-2.7.1$ hdfs dfs -put /home/hadoopashish/Desktop/data input

so here hadoop system is getting input directory file

Step 10: now this is main step to run map-reduce.

Here first you have to type hadoop which is internal command.

the jar which is java archive file extensionw which will be run our hadoop-mapreduce-example-2.7.1.jar

the wordcount which is program name wordcount.java which is inbuilt store inside hadoop-mapreduce-example-2.7.1.jar file

then our input file name input and output which is going to stored output of next after running this command.

hadoop-user@ubuntu:/usr/local/hadoop-2.7.1$ hadoop  jar  share/hadoop/mapreduce/hadoop-mapreduce-example-2.7.1.jar  wordcount  input  output

After putting this step just press enter and your mapreduce job is going to run and u can see that process in terminal window

Step 11: after completing this step u have to go once again in the browser and open localhost:50070 then go in utilities à browse the file system inside that click on GO button and go inside user the inside user goes in hadoop-user (My Directory where stored file)

You can see too file input and output.

You can see there r-0000 file and success file in output folder.open r-0000 file yes this is our output file.

Open it and u can see the output of this file