catalogic ecx - copy data leverage use cases

WHITE PAPER

ECX - Copy Data Leverage Use CasesAutomated DR, Test/Dev, DevOps, Analytics, Cloud

Catalo c o a e s C solution ena les T o an ations to mana e, o c est ate and analy e cop es o t e data ac oss t e e stin etApp and a e env onment, p ov d n ull l ecycle mana ement o t e copy data t C , T can a ness t e ull po e o t e copy data n t e env onment to s n cantly mp ove e stin p ocesses l e ac up and DR, le ena l n ne use cases l e Test and Dev and us ness analytics T s pape e plo es seve al o t e top us ness use cases ena led y C

WHITE PAPERCATALOGIC SOFTWARE

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Contents

Introduction 3

Catalogic Software – ECX Overview 3

The Copy Data Challenge 4

Copy Data Leverage 5

Manage 5

Use Case 1: Automated Disaster Recovery 6

Use Case 2: Test / Dev & DevOps 9

Use Case 3: Analytics 10

Use Case 4: Hybrid Cloud 10

Integration with ECX – RESTful APIs 11

Technology Benefits Over Time 11

Conclusion 13

About Catalogic Software 13


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Introductionto a e tec nolo es a e e t emely p o c ent n c eatin cop es o p oduction data du n t e last decade tual ation as

s mpl ed t e p ocess even mo e Ta n snaps ots o c eatin clones n a mode n T env onment s no a t v al event ut e T o an ations el eve t ey a e e n t e most out o all o t ose cop es, and t ey no t at t e e s eat value t at could e

unloc ed eve a n copy data s t e oal and a ave o nnovation s no ocused on t s c allen e Copy data leve a e allo s T to p ov de data access to a num e o mpo tant use cases nclud n automated DR, DevOps, analytics and y d cloud T e o ective o a copy data leve a e solution s to p ov de T t automation and o c est ation o t e copy data ena l n t em to util e t e cop es and s mpl y t e p ocess

T s constantly unde p essu e to supply d e ent l nes o us ness t cop es o p oduction data n o de to solve multiple use cases T e st ess and c allen es n do n so c eates compound n cap tal e penses, as ell as ope ational e penses, alon t t e p ol e ation o cop es o p ma y data T s data sp a l s caus n eomet c data o t t at s out o cont ol Ce ta nly T ants to

et a andle on t s p o lem, ut t s a dauntin not mposs le tas to solve manually

t s mpo tant to loo at some undamental uestions en t n n a out copy data e e a e t ese data cop es com n om A e t ey needed Could t ey e util ed o ot e us ness pu poses And pe aps most mpo tantly, o can t s copy data s tuation e cont olled no and ove time

T s document s ntended to d scuss spec c ays to mana e, o c est ate and analy e copy data us n Catalo c o a e s ntell ent copy data mana ement pla o m, C , o spec c use cases ECX provides IT organizations with the ability to get control over their copy data across the enterprise including the cloud, delivering the right data copy for the right business function, at the right time and in the right location--all within a single, simplified and automated platform. t C , T o an ations a e a le to d amatically educe t e num e o data cop es t ey ma e n t e ente p se, st eaml ne t e us ness p ocesses t at ma e up t e sto cally comple and out o cont ol copy data e t t a n, and s mpl y t e comple ty o t e ove all env onment n do n so, C not only s n cantly educes Cap and Op , ut t also ecomes a t emendous ena le o s mpl ed and st eaml ned ope ations n suppo t o multiple use cases, nclud n ope ational data ecove y, DR, Test/Dev o DevOps and analytics

Catalogic Software – ECX OverviewAn e ective copy data solution e ns t a comp e ens ve v e o t e data n t e ente p se ac oss p ys cal, v tual, and cloud

ased env onments C s a sto a e and data mana ement appl cation t at del ve s automation, o c est ation and analytical tools o data n t e T env onment y leve a n a comp e ens ve actiona le catalo o t at data

At t e co e o C s a o ust and n n tely scala le catalo n en ne C catalo s all o t e p ma y data and copy data naps ots , nap aults , nap o s ac oss multiple etApp and a e nstallations t out mov n o a ectin t e

data atsoeve , and t en p esents t s valua le v e po nt n one cent al ed mana ement console T s allo s T to o c est ate, analy e, sea c , and epo t on all data, ena l n T to ta e advanta e o ts data assets o multiple us ness solutions Catalo n all tie s o etApp naps and a e o ects, C p ov des ove p ede ned epo ts as ell as sea c tas s t at can e completed n seconds, p otection compl ance epo ts t at un ust l e ac up epo ts and muc mo e

C s t e sto a e ndust y s st so a e only copy data mana ement pla o m t at allo s T to ta e advanta e o t e e stin sto a e se v ces o multiple use cases and leve a e t e data cop es C nstalls as a v tual appl ance and catalo s t e etApp and a e env onments t out t e need to deploy a ents A e do nload n C om t e Catalo c o a e e s te (http://catalogicsoftware.com/en/products/trial) and nstall n t, t e solution uns n t e ac ound to c eate an actiona le catalo o t e

etApp and a e env onment T e C catalo p ov des adm n st ato s t e a l ty to mana e, o c est ate and analy e t e data n o de to meet t e o ectives o t e us ness

t an ntu tive, po nt and cl c nte ace, T can automate and o c est ate copy data and use data o o s C s automated o o s allo cl ents to st eaml ne copy data ope ations o a num e o t e us ness ope ations


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The Copy Data Challenge T s aced t a num e o c allen es eve y day t at e u e us ness solutions suc as ecove y, d saste ecove y, DevOps, analytics, and a c ve T deploys a my ad o tec nolo es to t y to add ess t ese us ness solutions, suc as ac up so a e, ac up

a c ve appl ances, epl cation so a e and muc mo e n many nstances, t ese tec nolo es p ov de s m la sto a e se v ce unctions t ey ma e a copy o p ma y data see u e , and ma e t ava la le o use y a us ness ope ation ot only do t ese

e t a cop es cost money n sto a e capac ty, t ey also add to cost n te ms o add tional n ast uctu e and pe sonnel to c eate and mana e t em t ou out t e l ecycle

Cons de n t e mass ve data sp a l occu n today, any comp e ens ve copy data solution must p ov de e e data mana ement, not only data o cop es c eated nto t e utu e, ut also o cop es t at ave een c eated al eady, espective o t e tool used to c eate t em uc a solution e u es t e a l ty to assess and add ess t e p o lem t t e capa l ty to ana e, O c est ate and Analy e t e ente p se s copy data

Figure 1 – Multiple Overlapping Storage Services

Cons de n t e mass ve data sp a l occu n today, any comp e ens ve copy data solution must p ov de e e data mana ement, not only data o cop es c eated nto t e utu e, ut also o cop es t at ave een c eated al eady, espective o t e tool used to c eate t em uc a solution e u es t e a l ty to assess and add ess t e p o lem t t e capa l ty to ana e, O c est ate and Analy e copy data


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Copy Data LeverageC s t e sto a e ndust y s st so a e only copy data mana ement pla o m t at allo s you to leve a e you e stin sto a e

n ast uctu e C nstalls as a v tual mac ne and catalo s you etApp and a e env onments t out t e need to deploy a ents A e you do nload C om t e Catalo c o a e e s te and nstall t, t e solution uns out o and to c eate an actiona le catalo o you etApp and a e env onment T e C catalo p ov des adm n st ato s t e a l ty to mana e, o c est ate and analy e t e data n o de to meet t e o ectives o t e us ness

Manage s l ty nto t e data set s al t e a le T e ot e al s t e s mpl cation o e stin copy c eation p ocesses t ou automation,

as to al n t t e As o t e ente p se, and ensu e compl ance and aud ta l ty o t e env onment v a e ception ased epo tin

C allo s T to c eate copy data o o pol c es t at a e al ned t t e e stin est p actices, o d e ent data sets, all om one sc een ee u es and T e C pol cy en ne ena les T to set up t e data copy sc edule, t e etention pol c es o

nd v dual snaps, m o s and vaults, and t e destination o t e nap aults and nap o s C also as t e a l ty ta t e snaps to e appl cation o c as cons stent T ese po e ul capa l ties o C s mpl y multiple use cases, nclud n automated d saste ecove y, Test/Dev and analytics

Once t e copy data o o s a e set, t ey a e e ecuted ased on t e sc edule, and ema l ased epo tin can e con u ed o t e T adm n st ato o anyone o t at ma e , p ov d n da ly ns t nto t e success o a lu e o any o t e snaps T e eal ty s t at cl ents ave al eady pu c ased snap unctional ty om t e p ma y sto a e vendo Cl ents c ose t e pa ticula sto a e vendo o t ese sto a e se v ces Catalo c s C ena les T to mo e e c ently ta e advanta e o t e sto a e se v ces Catalo c o a e sn t a eplacement o t e T o an ations e stin sto a e pla o m Rat e , t acts as a valued added laye a ove t e e stin sto a e n ast uctu e t at complements ts sto a e se v ces Ta n advanta e o t ese sto a e se v ces o e s T e e data ava la l ty and O s nes o us ness a l ty to e e meet all o t e us ness As

Figure 2 - Retention Policy


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Use Case 1: Automated Disaster RecoveryOne pa t o t e us ness no one l es to t n a out s at appens en a d saste st es Cons de uestions l e o do ensu e can ave my us ness up and unn n so as not to lose ll n t e o d custome s, ma et cap, etc any T s ops t y to

ena le some level o e c ency n t e DR p ocess, ut mo e typ cally, DR env onments a e ve y manual n t e p ocesses T ey util e a num e o sc pts t at all too o en a l and/o un oo s t at e e ence t ese le sc pts Catalo c s C solution allo s t e T adm n st ato to c eate se Data o o s t at can c eate a nap o o nap ault n a emote location s o n n u e

o t e sole pu pose o automated DR As p ev ously mentioned e a d n copy data o o s, t e concept o location o destination s ey to t e o c est ation o t e use data o o s ensu n t e data can e util ed o s te n t e event o a d saste Catalo c C can o c est ate ava la le data cop es to any dev ce t at as een e ste ed to t e C so a e, e a dless o location, nclud n t e cloud

T selects t e appl cation, o com nation o appl cations t at need to e ecove ed n t e event o a d saste and can n t ese up nd v dually o n a oup Commonly, dependenc es et een appl cations necess tate t at t ey e ecove ed n a pa ticula o de As an e ample, en ecove n an ema l se ve , t e d ecto y se ve o DA se ve may need to e ecove ed st t

C , appl cations can e o c est ated to come up n any o de allo n t e ecove y p ocess to automatically accommodate t ese dependenc es T e o o p ocess lets T spec y t e p ec se o de n c appl cations a e ou t up

Figure 3 - Destination


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T e advanta es t at C o e s t ou t e automation and o c est ation o t ese o o s a e even eate en cons de n DR testin Typ cally, T uns t e DR tests ove a ee end All t e app op ate pe sonnel a e assem led and must e on s te and ava la le o t e du ation o t e tests Tas s o en nclude

• nd e e all t e data s

• nsu e all t e data s n t e t location

• nsu e all t e sc pts a e p epa ed to e ecute

• ence o t e test env onment

• ecute t e sc pts n t e p ope o de

• Test t e appl cations to see t at t ey e e ecove ed p ope ly

• en and t e test s success ul, tea t e env onment do n

T s p ocess can ta e all ee end and n many nstances, t ese tests a l and mo e time s spent t ou les ootin sc pts t at a l, t an data actually e n ecove ed

t Catalo c C , all tas s a e automated o sc pts a e e u ed T e copy data o o put t e data at t e des ed destination e e t ould e needed n t e event o a d saste Add tionally, t e use data o o as t e capa l ty to n up t e data t

t ee d e ent met odolo es Test, Clone o oduction T ese met odolo es n data up n a enced env onment, so t doesn t m sta enly step on ot e p oduction data du n testin Once testin s complete, t e use as t e a l ty to let C tea do n t e env onment, avo d n unnecessa y data sp a l, o to p omote t e env onment to p oduction, as T ould n t e event o a eal d saste T e o o to test t e DR env onment can e sc eduled to appen eve y even n , so n t e mo n n t e T team can nd t at t e DR env onment s success ully unn n somet n a led, Catalo c C lets adm n st ato s no CAT at a led, and y, t ou e ception ased epo tin o dete m nation s s mple and u c t t e C , as s o n n u es and

o , elp des sta can et to t e o om o ssues n t e env onment u c ly and n t e env onment ac nto compl ance

Once t e p o lems n t e env onment a e ed, t e automated DR o o can e un a a n, t t e pus o a u on, to ensu e t at all t e ssues n t e env onment a e no lon e a p o lem T can ave t e con dence t at t e DR plan s sol d and eady o anyt n t at may t t em astly, a e a DR test s complete, t e C so a e lets T automatically tea do n t e test env onment

Figure 4 - Destination


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Figure 5 - Workflow Monitoring

Figure 6 - Workflow Dashboard


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Use Case 2: Test / Dev & DevOpsTest/Dev, o Test d ven development TDD , s a so a e development p ocess t at el es on t e epetition o a ve y s o t development cycle st t e develope tes an n tially a l n automated test case t at de nes a des ed mp ovement o ne unction, t en p oduces t e m n mum amount o code to pass t at test, and nally e acto s t e ne code to accepta le standa ds

T e t ad tional met od o p ov d n data access o t e data to t e development o an ation s to ta e a ull ac up set o t e p oduction data and pe o m a ull ecove y o t at data to t e development location T s s a ve y time consum n p ocess, and as t t ad tional DR p ocesses, t es to leve a e sc pts to accompl s t e uently c an n env onments, com ned t T pe sonnel s tuations, can p event t ese sc pts om el a ly do n t e o A ull ecove y p ocess s un usually ove t e ee end and T opes t at t e ecove y o s so t e development team can e ully ope ational come onday mo n n ecause t s p ocess s so time consum n and e o p one, p ov d n t e development o an ation t cons stent access to cu ent data sets ecomes unac eva le nstead o av n t e most elevant data eve y mo n n , o e ample, t e p ocess may only appen once a mont T s stale data d ves do n t e ual ty o t e ne code e n developed n add tion, n many lo al compan es, testin o t e ne code may e pe o med y ove seas pe sonnel ose o day e ns a e t e develope s as ended n t ese scena os, at t e end o t e development o day, t e development team needs to set up t e code t ey ave o ed on, suc t at t can e eas ly tested y t ese ove seas esou ces nev ta ly, t e test team as d culty locatin and se n up t e p ope data at test time T s causes u e delays, astes time and money, and usually places some u den ac on T a a n, a e ou s, to elp solve t e data access c allen e

Catalo c s C pla o m elps co po ations d stance t emselves om t ese p o lems and util e t e same necessa y data t ey e e p ov d n e o e, e cept t automation and nstantly mounta le snaps n any location Ta n advanta e o t e ve y same o o capa l ties outl ned n t e automated DR use case, T can automate and o c est ate snaps, vaults and m o s o t e latest and

eatest copy o t e p oduction data, as ell as t e ne ly developed code, to e nstantly mounta le n multiple locations, ac l tatin t ue DevOps e c ency, n a cons stent and timely manne T e esults

• o mo e sc pts t at a l, no t e timely p ocess o t ou les ootin t ese a led sc pts

• o mo e time asted y test teams a tin o t e p ope access to t e t code to test

• Automated o o s o access n data lo ally

• oves o an ations close to a DevOps model

• Continuous development ena les e ual ty code, aste

• A l ty to mplement ne tec nolo y u c e a n a competitive ed e

uc l e t e data p otection use case, t ese o o s also ll p ov de e ception epo tin n t e event t at somet n a out t e env onment c an es T s s a ene t

t at sc pts cannot del ve T e sto y epo tin s o n n u es and ll ale t T to e e a lu es appen and ensu e t at t e ssues a e u c ly add essed, ma m n t e

time o test and developments C s t e deal solution to elp u ld a d e et een Development and T o an ations, p ov d n eac oup t t e data t needs to move t e us ness o a d

It is important to point out that this workflow now can enable a more DevOps approach to Test/Dev with the ability to bring data up, in a fenced environment, tested and promoted to production in a very quick manner, over and over again with ease. DevOps is the next generation of Test/Dev and does require close working relationship with the IT organization for success. The ability to automate the process of making data available for Test/Dev provides for very smooth interactions with development lines of business.


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Use Case 3: Analytics T e latest t end n d v n competitive advanta e s t e use o analytics t n t e us ness a n n ns t nto t e us ness t ou ts data can elp us nesses ma e e e dec s ons on e e to ocus, o to save money, and o to develop a competitive us ness st ate y

T ad tional analytic ope ations util e an T p ocess, s o t o e t act, t ans o m, and load T ese a e t ee data ase unctions t at a e com ned nto one tool to pull data out o one data ase and place t nto anot e data ase T e pu pose e nd t s s to put data n a common location data ase , allo n analys s so a e to un a a nst t ecause t s p ocess can e time consum n , t only

a s t e pa ts o eac data set t at t e analytics team el eves t ey need at t e time Today, t s data s typ cally loaded n e actly t e same ay t at e outl ned a ove n t e Test/Dev env onment, c a a n, s a ve y slo and pa n ul ecove y p ocess

Once t e data s ou t up o t e analytics team, t ey un t e analytic appl cations a a nst t e data to a n t e valua le ns ts t ey need to d ve t e us ness uc l e t e Test/Dev env onment, ecause t e p ocess o e n t e data set eady o t e analytics team s pa n ul, t s data can t e e es ed eve y day As a esult, t e accu acy o t e data e t acted om t e analys s can

ecome stale and less elevant ot analy n t e latest and eatest data means t e us ness may not e ma n dec s ons as ast as t ey could to stay competitive

y ta n advanta e o Catalo c s C so a e, T as t e a l ty to nstantly mount any and all data sets u c ly, et e le o loc T s u lds n a eat deal o e l ty o t e analytics team nstantly mounta le data access p ov des

• o mo e sc pts t at a l, no t e timely p ocess o t ou les ootin t ese a led sc pts

• Automated p ocess t at ensu es data s e e t needs to e, en t needs to e t e e

• A l ty to n up enti e data sets so data sc entists can ma e dec s ons on t e y a out ne analyses

• Da ly updates to t e latest and eatest data sets to analy e, y elds e analytic accu acy

• e accu acy d ves a mo e competitive us ness

• Clean up p ocess n t e C pol cy to ensu e analytics do not ene ate data sp a l

• naps, vaults and m o s can e un n multiple locations, ena l n d e ent analys s n d e ent eo ap es

Use Case 4: Hybrid CloudAs muc a deployment met od as t s a use case, t e move to t e cloud o T as een o n on o a le no ut at s t e est

ay to leve a e t e cloud ost T s ops no t at t e econom cs o cloud computin s muc mo e advanta eous t an t e cu ent env onment, allo n t em to ent e le p ocess n po e en t ey need t T e uestion s, at use cases ma e t e most sense o t em, ven t e tools t ey ave to util e t e cloud

T e e a e many d e ent ays to adopt t e cloud o cloud se v ces n an env onment today, nclud n pu l c cloud, p vate cloud and y d cloud A p vate cloud, pe aps t e most popula , s as s mple as an ema l se ve t at p ov des ema l to a company o ld de u l c cloud e amples nclude solutions l e D op o o ales o ce, e e a se v ces company osts a solution, and t e cl ent

co po ation as t e a l ty to util e se v ces p ov ded y t e se v ces company n a secu e manne T e y d cloud, o eve , ves T t e eatest amount o e l ty, espec ally en util ed n t e t manne st, t e scale and econom cs o a y d cloud

env onment can elp T to cont ol t e Cap cost le e n a le to del ve v tal se v ces t at t e co po ation needs Add tionally, C elps to cont ol Op y allo n cl ents to o c est ate and automate se v ces nto t e cloud, ta n a lot o t e u den o o T


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aom / Ca ena d d some esea c at t e e nn n o on t e adoption o cloud Cost and a l ty e e s ted as t e top t o easons to ave a cloud st ate y nte estin ly, o ol s sa d t at t e est a e s to ent y e e comple ty, e pe tise and data

movement (www.research.gigaom.com/2014/10/so-wts-in-store-for-the-cloud-in-2015/)

Catalo c s C copy data mana ement pla o m s t e lle app o t e y d cloud C can o c est ate and automate e n t e t data nto t e cloud o a spec c us ness pu pose C also allo s T to c eate ne o mana e e stin us ness p ocess DR,

Test/Dev and analytics nto t e cloud, d v n cont ol and ease o mana ement, so T can use t e cloud o any and all use cases t C , t e co po ation can leve a e t e e le compute p ocess n po e t e cloud as to o e , and T only needs to pay o t ose esou ces en t ey a e used T s a ants t e need to ave t e app op ate data n t e cloud t at t e p ocess n po e ll util e o t e d e ent use cases As t t e ot e use cases, t e a l ty to mount a snaps ot n t e cloud to satis y a pa ticula us ness

solution suc as automated DR, Test/Dev o analytics, p ov des t e use t nstant access to data

y ay o e ample, a common use o t e y d cloud s o analytics As outl ned a ove, t e a l ty to u c ly mount all o t e most ecent data not ust e t acted data , sp n up a ne analytic nodes to un analys s ac oss t s data, and sp n t ese compute nodes do n

en complete, p ov des t e us ness t e ans e s t needs to e a le and competitive, and do all o t at a lo cost

til n Catalo c s C so a e, T as a ne , mo e po e ul ay o e n a le to a ness t e value o t e cloud, t out add n comple ty o e u n added e pe tise C can automate and o c est ate all o t at o T n add tion, as t ot e p ev ously mentioned use cases, t e a l ty to nstantly mount any data sets u c ly ena les a eat deal o e l ty o t e us ness C s copy data mana ement pla o m o t e cloud p ov des

• T e a l ty to ta e advanta e o t e l u d cloud esou ces, lo e n Cap

• Automated p ocess o e n t e t data to t e cloud, lo e n Op as ell as s

• T e a l ty to o c est ate and automate e n data nto t e cloud seamlessly

• s l ty as to at data s n t e cloud

• T t t e cont ol t ey need to ensu e t ey a e not c eatin data sp a l and not t eatin t e cloud as ust anot e dev ce

Integration with ECX – RESTful APIsT e Catalo c C pla o m also p ov des R T ul A s t at can accele ate time to value o adm n st ato s t at ant to mana e, o c est ate and analy e copy data t ou t e o n po tal, and ena le s and s to c eate t e o n set o se v ces o eac o t ese d e ent copy data use cases

Technology Benefits Over TimeT e mpact o C s t ans o mational yet, mplementin C s u c and easy t n a e m nutes o deploy n C , adm n st ato s can sta t to see t e etu n on t e nvestment T e v s l ty and ns t C p ov des elps T unde stand e e t e data cop es a e e n out o cont ol, and can elp to n t em ac n l ne T e C catalo s also t e est ay to unde stand

e e snapped, vaulted and m o ed data l ves, allo n T to e e util e t ose cop es o multiple use cases C elps el m nate t e need o t e e pens ve so a e l censes and d s ta ets assoc ated t t ad tional data p otection solutions and educe t e mana ement ove ead e u ed to ul ll d e ent use cases t at a e commonly done t t ad tional data p otection tec nolo es


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At Catalo c e also unde stand t at T tends not to deploy a tec nolo y n one ell s oop to solve one us ness c allen e all at one time T at s not o T o s Typ cally c an e sta ts en a us ness p ocess t at s not o n ell s denti ed T ets unds to solve t e p o lem and T pu c ases a solution to solve t at p o lem As s o n n u e , en deploy n a copy data solution, T can

et mo e value ove time t d e ent use cases as t ey sta t to eplace all o t e d e ent copy data se v ces and util e t e cop es and sto a e t ey ave today

Figure 7 – Copy Data Management Platform – Move Value Over Time

Catalo c o a e T ce ouleva d, u te oodcl a e,

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n ted n dom ance e many n apo e et e lands

Catalo c s a e ste ed t adema o Catalo c o a e nc , D , and C a e t adema s o Catalo c o a e nc All ot e company and p oduct names used e e n may e t e t adema s o t e espective compan es etApp and t e etApp lo o a e t adema s o etApp, nc , n t e n ted tates and/o ot e count es

C C

All ance a tne

WHITE PAPERCATLOGIC SOFTWARE

ConclusionAcco d n to DC, copy data accounts o as muc as o t e data n today s n ast uctu e ma y data s cop ed epetitively to suppo t a num e o use cases T s pape demonst ates o Catalo c s C n s s n cant mp ovements to ou suc use cases Data otection, Test/Dev o DevOps, Analytics, and y d Cloud At Catalo c, e unde stand t at T s constantly cau t et een t e need to ave cop es o p oduction data ava la le o t ese use cases and t e c allen es assoc ated t mana n t ese data cop es As T ud ets continue to e s uee ed, and T pe sonnel a e as ed to ave a mo e e le and competitive n ast uctu e, a ac n t e copy data ssue ead on t a solution t at allo s T to ta e advanta e o t e data cop es t ey a e al eady c eatin t

naps ots, nap o s and nap aults adds s n cant value to data cente ope ations

C ta es a ol stic app oac to elp cl ents ta e e e advanta e o t e cop es o t e data T e a l ty to p ov de nstantly mounta le access to a copy o t e latest p oduction data, o multiple us ness ope ations, tu ns t ad tional tec nolo es, suc as ac up and epl cation, om an nsu ance pol cy to a us ness oppo tun ty C elps cl ents add ess t e ne c enc es t n t e cu ent data mana ement p actices, avo d t e eomet c o t caused y copy data sp a l, and a n a competitive advanta e

About Catalogic SoftwareCatalo c o a e s t e lead n so a e p ov de o nstant copy data solutions Data s mo e c tical to us ness t an eve us ness must leve a e t e data cop es to del ve ope ational e c enc es, le s multaneously del ve n eate us ness a l ty T e ne t

eat leap n Data ana ement ll e Copy Data ana ement Ou solutions p ov de o nstant v s l ty o copy data o les n an env onment and p ov de nstant data access o ecove y, D saste ecove y, test/dev, DevOps and us ness analytics