As outlined within this weeks Topic,there are several benefits as well as challenges associated with the use of Big Data Analytics in the e-Healthcareindustry. Identify the challenges associated with

7/5/2020 Rubric Detail – Summer 2020 - Data Science & Big Data ... https://ucumberlands.blackboar d.com/webapps/rubric/do/course/gradeR ubric?mode=grid&isPopup=true&rubricCount=1&pr efix=_8 … 1/4 Rubric D eta il A r u bric lis ts g ra d in g c rit e ria t h at in str u cto rs u se t o e va lu ate s tu den t w ork . Y o u r in str u cto r lin ke d a r u bric t o t h is it e m a n d m ad e it a va ila b le t o y o u . S ele ct G rid V ie w o r L is t V ie w t o c h an ge t h e r u bric 's la yo u t.   N o Su bm is sio n Lim it e d Ev id en ce B elo w Ex p ecta tio n A ppro ach es Ex p ecta tio n In it ia l P ost:

C on te n t 0 (0 .0 0% ) Dem on str a te s n o e vid en ce o f k n ow le d ge o f c o n ce p ts , sk ills , a n d/o r th eo rie s. 2 (8 .0 0% ) Dem on str a te s sig n i ca n tly lim it e d kn ow le d ge o f co n ce p ts , sk ills , a n d/o r th eo rie s. 3 (1 2.0 0% ) Dem on str a te s lim it e d k n ow le d ge o f c o n ce p ts , s k ills , a n d t h eo rie s. 4 (1 6.0 0% ) Dem on str a te s so m e kn ow le d ge o f co n ce p ts , sk ills , a n d th eo rie s. F e ed back :

Th e c o n te n t sh ou ld b e y o u r ow n c o n te n t a n d not c o p ie d . Tim elin ess 0 (0 .0 0% ) In it ia l p ost t db 1 (4 .0 0% ) In it ia l p ost db 2 (8 .0 0% ) In it ia l p ost m ad e b St d t 4 (1 6.0 0% ) Iit i l t Nam e:  I T S8 36 D is c u ssio n R ubric D escrip tio n :  U se t h is r u bric t o g ra d e d is c u ssio n f o ru m p osts E xit G rid V ie w Lis t V ie w 7/5/2020 Rubric Detail – Summer 2020 - Data Science & Big Data ... https://ucumberlands.blackboar d.com/webapps/rubric/do/course/gradeR ubric?mode=grid&isPopup=true&rubricCount=1&pr efix=_8 … 2/4   No Su bm is sio n Lim it e d Ev id en ce B elo w Ex p ecta tio n A ppro ach es Ex p ecta tio n not m ad e b y Su nday a t 1 1:5 9 p m E T. m ad e b y Su nday a t 1 1:5 9 p m E T.

(t h re e d ays la te ) b y S a tu rd ay a t 1 1:5 9 p m E T. ( t w o days la te ) In it ia l p ost m ad e b y Frid ay a t 1 1:5 9 p m E T.

(o n e d ay la te ) Fe ed back :

Th e in it ia l p ost is t o b e b y W ed n esd ay. W rit in g Q ualit y a n d Sch ola rly S u pport 0 (0 .0 0% ) Majo r e rro rs in w rit in g org a n iz a tio n , fo cu s, c la rit y , a n d s ch ola rly s u pport f r o m cit a tio n (s ) f o r asse rtio n s. 2 (8 .0 0% ) Num ero u s erro rs o r om is sio n s— at le ast s o m e majo r— in w rit in g org a n iz a tio n , fo cu s, c la rit y , o r s ch ola rly s u pport f r o m cit a tio n (s ) f o r asse rtio n s. 3 (1 2.0 0% ) Num ero u s sig n i ca n t bu t n ot m ajo r erro rs o r om is sio n s in w rit in g org a n iz a tio n , fo cu s, c la rit y , o r s ch ola rly s u pport f r o m cit a tio n (s ) f o r asse rtio n s. F e ed back :

Th e r e fe re n ce s a re n ot in A PA f o rm at.

T h e r e fe re n ce s a re n ot in a lp h a o rd er. 4 (1 6.0 0% ) So m e s ig n i ca n t bu t n ot m ajo r erro rs o r om is sio n s in w rit in g org a n iz a tio n , fo cu s, c la rit y , o r sch ola rly s u pport fr o m c it a tio n (s ) f o r asse rtio n s. F ir s t F o llo w -U p Rep ly 0 (0 .0 0% ) Did n ot p ost t l 2 (8 .0 0% ) Fir s t r e p ly d tt 3 (1 2.0 0% ) Fir s t r e p ly d tt t 4 (1 6.0 0% ) Fir s t r e p ly d tt t 7/5/2020 Rubric Detail – Summer 2020 - Data Science & Big Data ... https://ucumberlands.blackboar d.com/webapps/rubric/do/course/gradeR ubric?mode=grid&isPopup=true&rubricCount=1&pr efix=_8 … 3/4   No Su bm is sio n Lim it e d Ev id en ce B elo w Ex p ecta tio n A ppro ach es Ex p ecta tio n py rs t r e p ly b efo re S u nday a t 1 1:5 9 p m E T. d em on str a te s at le ast 1 o f th e f o llo w in g:

kn ow le d ge o f co n te n t, c o n nectio n w it h o th er stu den t, o r org a n iz e d , cle ar, c o n cis e , an d f o cu se d w rit in g. d em on str a te s a t le ast 2 o f t h e fo llo w in g:

kn ow le d ge o f co n te n t, c o n nectio n w it h o th er s tu den t, a n d org a n iz e d , c le ar, c o n cis e , a n d fo cu se d w rit in g. d em on str a te s a t le ast 3 o f t h e fo llo w in g:

kn ow le d ge o f co n te n t, c o n nectio n w it h o th er s tu den t, a n d org a n iz e d , c le ar, c o n cis e , a n d fo cu se d w rit in g. S e co n d Fo llo w -U p Rep ly 0 (0 .0 0% ) Did n ot p ost se co n d r e p ly b efo re S u nday a t 1 1:5 9 p m E T. 2 (8 .0 0% ) Se co n d r e p ly d em on str a te s at le ast 1 o f th e f o llo w in g:

kn ow le d ge o f co n te n t, c o n nectio n w it h o th er stu den t, o r org a n iz e d , cle ar, c o n cis e , an d f o cu se d w rit in g. 3 (1 2.0 0% ) Se co n d r e p ly d em on str a te s at le ast 2 o f th e f o llo w in g:

kn ow le d ge o f co n te n t, c o n nectio n w it h o th er stu den t, a n d org a n iz e d , cle ar, c o n cis e , an d f o cu se d w rit in g. F e ed back :

O nly t w o d ays o f en ga ge m en t. 4 (1 6.0 0% ) Se co n d r e p ly d em on str a te s a t le ast 3 o f t h e fo llo w in g:

kn ow le d ge o f co n te n t, c o n nectio n w it h o th er s tu den t, a n d org a n iz e d , c le ar, c o n cis e , a n d fo cu se d w rit in g. R aw T o ta l: 1 9.0 0 ( o f 2 5) F e ed back t o L e a rn er Ple ase s e e c o m men ts a b ove . N am e: IT S8 36 D is c u ssio n R ubric D escrip tio n : U se t h is r u bric t o g ra d e d is c u ssio n f o ru m p osts E xit 7/5/2020 Rubric Detail – Summer 2020 - Data Science & Big Data ... https://ucumberlands.blackboar d.com/webapps/rubric/do/course/gradeR ubric?mode=grid&isPopup=true&rubricCount=1&pr efix=_8 … 4/4